{"action":"create","ckan_id":null,"date_created":"Fri, 11 Jul 2025 16:17:27 GMT","date_finished":null,"harvest_job_id":"46bd78ac-7e83-41b0-90d3-ca9828ac46b0","harvest_source_id":"985d086e-f9db-4776-8fb4-4eec1ee4e8e4","id":"7863bec6-8461-42e5-8511-7f3c2c9791ea","identifier":"https://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/roads/tl_2016_06059_roads.shp.iso.xml","parent_identifier":null,"source_hash":"c6ed43608a4be9145018f18cd1f558b83b23e3aa7c2c2876b24a348462b2bde3","source_raw":"\r\n\r\n \r\n tl_2016_06059_roads.shp.iso.xml\r\n \r\n \r\n eng\r\n \r\n \r\n utf8\r\n \r\n \r\n \r\n TIGER/Line Shapefile, 2016, Series Information for the All Roads County-based Shapefile\r\n \r\n \r\n dataset\r\n \r\n \r\n \r\n 2019-09-12\r\n\r\n \r\n ISO 19115 Geographic Information - Metadata \r\n \r\n \r\n 2009-02-15 \r\n \r\n \r\n https://www2.census.gov/geo/tiger/TIGER2016/ROADS/tl_2016_06059_roads.zip\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n curve \r\n \r\n \r\n 64660\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Federal Information Processing Series (FIPS), Geographic Names Information System (GNIS), and feature names.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n TIGER/Line Shapefile, 2016, county, Orange County, CA, All Roads County-based Shapefile\r\n \r\n \r\n \r\n \r\n \r\n 2016\r\n \r\n \r\n publication \r\n \r\n \r\n \r\n \r\n 2016\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n The TIGER/Line shapefiles and related database files (.dbf) are an extract of selected geographic and cartographic information from\r\n the U.S. Census Bureau's Master Address File / Topologically Integrated Geographic Encoding and Referencing (MAF/TIGER) Database\r\n (MTDB). The MTDB represents a seamless national file with no overlaps or gaps between parts, however, each TIGER/Line shapefile is\r\n designed to stand alone as an independent data set, or they can be combined to cover the entire nation.\r\n\r\n The All Roads Shapefile includes all features within the MTDB Super Class \"Road/Path Features\" distinguished where the MAF/TIGER\r\n Feature Classification Code (MTFCC) for the feature in MTDB that begins with \"S\". This includes all primary, secondary, local\r\n neighborhood, and rural roads, city streets, vehicular trails (4wd), ramps, service drives, alleys, parking lot roads, private roads\r\n for service vehicles (logging, oil fields, ranches, etc.), bike paths or trails, bridle/horse paths, walkways/pedestrian trails, and\r\n stairways.\r\n \r\n \r\n \r\n In order for others to use the information in the Census MAF/TIGER database in a geographic information system (GIS) or for other\r\n geographic applications, the Census Bureau releases to the public extracts of the database in the form of TIGER/Line Shapefiles.\r\n \r\n \r\n \r\n completed\r\n \r\n \r\n \r\n \r\n \r\n notPlanned\r\n \r\n \r\n \r\n \r\n \r\n \r\n County or equivalent entity\r\n \r\n \r\n Linear Feature\r\n \r\n \r\n Address Range\r\n \r\n \r\n Street Centerline\r\n \r\n \r\n Road Feature\r\n \r\n \r\n Roads\r\n \r\n \r\n theme \r\n \r\n \r\n \r\n \r\n None\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n United States\r\n \r\n \r\n U.S.\r\n \r\n \r\n County or Equivalent Entity\r\n \r\n \r\n Orange\r\n \r\n \r\n 06059\r\n \r\n \r\n place \r\n \r\n \r\n \r\n \r\n ANSI INCITS 38:2009 (Formerly FIPS 5-2), ANSI INCITS 31:2009 (Formerly FIPS 6-4),ANSI INCITS 454:2009 (Formerly FIPS 8-6),\r\n ANSI INCITS 455:2009(Formerly FIPS 9-1), ANSI INCITS 446:2008 (Geographic Names Information System (GNIS))\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n otherRestrictions \r\n \r\n \r\n \r\n \r\n \r\n Access Constraints: None\r\n \r\n \r\n Use Constraints:The TIGER/Line Shapefile products are not copyrighted however TIGER/Line and Census TIGER are registered\r\n trademarks of the U.S. Census Bureau. These products are free to use in a product or publication, however acknowledgement must\r\n be given to the U.S. Census Bureau as the source.\r\n \r\n The horizontal spatial accuracy information present in these files is provided for the purposes of statistical analysis and\r\n census operations only. No warranty, expressed or implied is made with regard to the accuracy of the spatial accuracy, and no\r\n liability is assumed by the U.S. Government in general or the U.S. Census Bureau, specifically as to the spatial or attribute\r\n accuracy of the data. The TIGER/Line Shapefiles may not be suitable for high-precision measurement applications such as\r\n engineering problems, property transfers, or other uses that might require highly accurate measurements of the earth's surface.\r\n Coordinates in the TIGER/Line shapefiles have six implied decimal places, but the positional accuracy of these coordinates is\r\n not as great as the six decimal places suggest.\r\n \r\n \r\n \r\n \r\n \r\n \r\n vector\r\n \r\n \r\n eng\r\n \r\n \r\n utf8\r\n \r\n \r\n transportation\r\n \r\n \r\n The TIGER/Line shapefiles contain geographic data only and do not include display mapping software or statistical data. For\r\n information on how to use the TIGER/Line shapefile data with specific software package users shall contact the company that produced\r\n the software.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n -118.1259\r\n \r\n \r\n -117.412987\r\n \r\n \r\n 33.333992\r\n \r\n \r\n 33.947668\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Publication Date\r\n 2015-06\r\n 2016-05\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n true\r\n \r\n \r\n All Roads County-based \r\n \r\n \r\n \r\n \r\n Feature Catalog for the 2016 All Roads County-based Shapefile\r\n \r\n \r\n \r\n \r\n 2016\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\nhttps://meta.geo.census.gov/data/existing/decennial/GEO/GPMB/TIGERline/TIGER2016/roads/tl_2016_roads.shp.ea.iso.xml\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n TGRSHP (compressed)\r\n \r\n \r\n \r\n PK-ZIP, version 1.93 A or higher\r\n \r\n \r\n \r\n \r\n \r\n \r\n HTML\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n WMS\r\n \r\n \r\n 1.3.0\r\n \r\n \r\n \r\n \r\n \r\n \r\n REST\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n The online copy of the TIGER/Line Shapefiles may be accessed without charge.\r\n \r\n \r\n To obtain more information about ordering TIGER/Line Shapefiles visit //www.census.gov/geo/www/tiger \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n https://www2.census.gov/geo/tiger/TIGER2016/ROADS/tl_2016_06059_roads.zip\r\n \r\n \r\n Shapefile Zip File\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.html \r\n \r\n\r\n \r\n TIGER/Line® Shapefiles\r\n \r\n \r\n Should be used for most mapping projects--this is our most comprehensive dataset. Designed for use with GIS (geographic\r\n information systems).\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n //opengis.net/spec/wms\r\n \r\n \r\n TIGERweb/tigerWMS_PhysicalFeatures (MapServer)\r\n \r\n \r\n This web mapping service contains the layer for primary and secondary roads. Since this layer displays at scales of\r\n 1:90,000 or greater, adjusting the BBox coordinates in the URL is necessary\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n //www.geoplatform.gov/spec/esri-map-rest\r\n \r\n \r\n TIGERweb/tigerWMS_PhysicalFeatures (MapServer) Rest Service\r\n \r\n \r\n This Rest Service contains all the Transportation and hydrology layers\r\n \r\n \r\n download\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n dataset \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n\r\n \r\n \r\n \r\n 4.64 meters for 2361\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n 3 meters for 3929\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n 5.125 meters for 6396\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 4.315 meters for 5168\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 7.286 meters for 3924\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 3.95 meters for 3928\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 4.33 meters for 2358\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 4.19 meters for 3925\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 4.67 meters for 3927\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 5.125 meters for 11730\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 5.97 meters for 3926\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Horizontal Positional Accuracy\r\n \r\n \r\n The Census Bureau uses root mean square error (RMSE) as stated in the FGDC-STD-007. 3-1998, Geospatial Positioning Accuracy\r\n Standards, Part 3: National Standard for Spatial Data Accuracy.\r\n \r\n \r\n The Census Bureau uses Global Positioning System (GPS) coordinates at road centerline intersections to evaluate the horizontal\r\n spatial accuracy of source files that may be used to realign road features in the MAF/TIGER database and test the horizontal\r\n spatial accuracy of the road features in the TIGER/Line Shapefiles. The test compares a survey-grade GPS coordinate to its\r\n associated road centerline intersection in the TIGER/Line Shapefiles. The test is based on an independent collection of GPS\r\n coordinates for a random sample of road intersections from a centerline file that meet certain criteria. The points are\r\n referred to as the sample points and are gathered through a private contractor working for the Census Bureau. Since the\r\n collection method uses survey-quality GPS-based field techniques, the resulting control points are considered 'ground truth'\r\n against which the TIGER road centerline intersection coordinates are compared. The distances between the coordinates are\r\n calculated and the Census Bureau determines the Circular Error 95% (CE95). That is, the accuracy of the file in meters with 95%\r\n confidence. The CE95 can be calculated from the mean and standard deviation by using the formula: mean of differences plus \r\n (2.65 times the standard deviation). CE95 results reported for each file tested are determined using a spreadsheet with embedded\r\n statistical formula. The use and applicability of the spreadsheet and its embedded formula have been verified by Census Bureau\r\n statisticians. The basis of the calculation is the use of the root mean square error (RMSE). This is the method as stated in\r\n the U.S. Government's Federal Geographic Data Committee Standard FGDC-STD-007.3-1998, Geospatial Positioning Accuracy Standards.\r\n Part 3: National Standard for Spatial Data Accuracy. The results of using this measure of accuracy are in compliance with\r\n Federal Spatial Data requirements. In terms of the Census Bureau application, the dataset coordinate values are those taken\r\n from the centerline file and the coordinate values from an independent source of higher accuracy are those acquired through the\r\n Census Bureau's contractor. Please note that the horizontal spatial accuracy, where reported, refers only to the realigned road\r\n features identified as matched to the positionally accurate source file with that accuracy. It is not the spatial accuracy of\r\n the TIGER/Line Shapefile as a whole.\r\n \r\n \r\n \r\n \r\n \r\n \r\n meters\r\n \r\n \r\n \r\n \r\n 5.74 meters for 3930\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Data completeness of the TIGER/Line Shapefiles reflects the contents of the Census MAF/TIGER database at the time the TIGER/Line\r\n Shapefiles were created.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n There may be some inconsistencies in feature names along features. An anomaly exists with the sporadic occurrence of road\r\n segments comprising a complete chain with different MAF/TIGER Feature Census Class Code (MTFCC) values assigned. This problem\r\n could affect applications that use the MTFCC values for network analysis, routing, or for assigning symbology to a feature when\r\n creating a map.\r\n \r\n The Census Bureau performed automated tests to ensure logical consistency and limits of shapefiles. Node/geometry and topology\r\n relationships are collected or generated to satisfy topological edit requirements. These requirements include:\r\n (1) Complete chains must begin and end at nodes.\r\n (2) Complete chains must connect to each other at nodes.\r\n (3) Complete chains do not extend through nodes.\r\n (4) Left and right polygons are defined for each complete chain element and are consistent throughout the extract process.\r\n (5) The chains representing the limits of the files are free of gaps.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n TIGER/Line Shapefiles are extracted from the Census MAF/TIGER database by nation, state, county, and entity. Census\r\n MAF/TIGER data for all of the aforementioned geographic entities are then distributed among the shapefiles each containing\r\n attributes for line, polygon, or landmark geographic data.\r\n \r\n \r\n \r\n 2016-01-01T00:00:00\r\n \r\n \r\n \r\n \r\n online\r\n \r\n \r\n \r\n \r\n Census MAF/TIGER database\r\n \r\n \r\n \r\n \r\n 201605\r\n \r\n \r\n Publication Date\r\n \r\n \r\n \r\n \r\n \r\n \r\n U.S. Department of Commerce, U.S. Census Bureau, Geography Division\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Cerritos City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2358 Cerritos city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Cerritos City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2358 Cerritos city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n Cerritos City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2358 Cerritos city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n Cerritos City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2358 Cerritos city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 19980306\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 19980306\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20020412\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20020412\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030623\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030623\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030815\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030815\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030820\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030820\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030820\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20030820\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040104\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040316\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040316\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040424\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040424\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040505\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040505\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040505\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040505\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040607\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040607\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040707\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040707\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040805\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040805\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040831\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20040831\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20041021\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 20041021\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 19970618\r\n \r\n \r\n Publication Date\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology Services, GIS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Long Beach City, CA - GIS\r\n \r\n \r\n \r\n \r\n 19970618\r\n \r\n \r\n Publication Date\r\n \r\n \r\n \r\n \r\n \r\n \r\n 2361 Long Beach city Technology and Innovation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Anaheim Database\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3924 Anaheim city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Anaheim Database\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3924 Anaheim city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Anaheim Database\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3924 Anaheim city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Anaheim Database\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3924 Anaheim city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Garden Grove Road Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3925 Garden Grove city Information Systems\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Garden Grove Road Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3925 Garden Grove city Information Systems\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n Garden Grove Road Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3925 Garden Grove city Information Systems\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n Garden Grove Road Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3925 Garden Grove city Information Systems\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Newport Beach\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3926 Newport Beach city\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Newport Beach\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3926 Newport Beach city\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Newport Beach\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3926 Newport Beach city\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Newport Beach\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3926 Newport Beach city\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Newport Beach\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3926 Newport Beach city\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n LN_GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3927 Laguna Niguel city Community Development\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n La Habra City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3928 La Habra city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n La Habra City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3928 La Habra city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n La Habra City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3928 La Habra city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n La Habra City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3928 La Habra city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n email\r\n \r\n \r\n \r\n \r\n La Habra City GIS\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3928 La Habra city Planning Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n Irvine-Centerline\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3929 Irvine city Community Development Department\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n CD-ROM\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n FTP\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n FTP\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n FTP\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n FTP\r\n \r\n \r\n \r\n \r\n City of Orange\r\n \r\n \r\n \r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 3930 Orange city Public Works\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Internet Download\r\n \r\n \r\n \r\n \r\n National Hydrography Dataset - High Res.\r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 5166 USGS - National Hydrography Dataset Coordination and Requirements (C&R)\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n Los Angeles, CA - Harris Balance of County\r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 5168 Harris Corporation\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6396 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Internet Download\r\n \r\n \r\n \r\n \r\n National Hydrography Dataset - High Res.\r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 6397 USGS - National Hydrography Dataset Coordination and Requirements (C&R)\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 2010 ADCAN GPS Feature Updates\r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 7190 Census Bureau - Geography Division US Census Bureau - Geo Div - LFGPB\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 2010 ADCAN Manual Feature Updates\r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 7191 Census Bureau - Geography Division US Census Bureau - Geo Div - LFGPB\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected road features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected hydrographic features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n DVD\r\n \r\n \r\n \r\n \r\n PacificBell Landbase - Michael Baker/SBC\r\n \r\n \r\n \r\n \r\n 20030801\r\n \r\n \r\n Ground Condition\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11730 Michael Baker, Jr. Inc Geospatial Info Technologies\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: Coordinates to realign selected railroad features in the Census MAF/TIGER database.\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_CA_2012_NAIP\r\n \r\n \r\n \r\n \r\n 2012\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 11809 Acquired from USDA\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_LosAngeles_2014_DG\r\n \r\n \r\n \r\n \r\n 2014\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 12455 Acquired from NGA\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_LosAngeles_2014_DG\r\n \r\n \r\n \r\n \r\n 2014\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 12463 Acquired from NGA\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_LosAngeles_2013_DG\r\n \r\n \r\n \r\n \r\n 2013\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 12470 Acquired from NGA\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_CA_2014_NAIP\r\n \r\n \r\n \r\n \r\n 2014\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 12730 Acquired from USDA\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n Unknown\r\n \r\n \r\n \r\n \r\n 06_CA_OrangeCounty_NAPP_2014\r\n \r\n \r\n \r\n \r\n 2014\r\n \r\n \r\n unknown\r\n \r\n \r\n \r\n \r\n \r\n \r\n 13223 Acquired from USGS\r\n \r\n \r\n originator\r\n \r\n \r\n \r\n \r\n Source Contribution: All line segments\r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n \r\n notPlanned\r\n \r\n \r\n This was transformed from the Census Metadata Import Format\r\n \r\n \r\n \r\n \r\n","source_transform":null,"status":"error"}