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Shapefile Great Britain json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Great Britain, including Northern Ireland, in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every geo-information system should be able to import the data. Sample data: -4.6805267,51.642376 -4.6863427,51.640034 -4.686604,51.63615 -4.6906071,51.634739 -4.6998844,51.638062 -4.7071986,51.636841 -4.7054892,51.641426 -4.7129631,51.645912 -4.710062,51.647312 -4.7060018,51.646671 -4.6975074,51.645164 -4.6883545,51.646404 -4.6805267,51.642376

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Shapefile Spain json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Spain (continental) in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every geo-information system should be able to import the data. Sample data: MULTIPOLYGON(((2.9566796 39.190998,2.9561176 39.187126,2.9524877 39.185673,2.9517274 39.183186,2.9563951 39.178402,2.9607451 39.177532,2.9642091 39.180824,2.9680843 39.19006,2.9673486 39.192154,2.9609284 39.192883,2.9566796 39.190998)),((-9.0017786 42.463718,-8.9947224 42.469021,-9.0012569 42.47887,-9.0051718 42.481937,-9.0086393 42.478371,-9.0085287 42.472183,-9.005599 42.465412,-9.0017786 42.463718)),((4.2970181 39.874054,4.3007169 39.855694,4.2941418 39.842754,4.2976599 39.836525,4.2970352 39.833511,4.2925839 39.833511,4.2798705 39.819569,4.2745748 39.819061,4.2696629 39.814228,4.2602749 39.815582,4.2299914 39.819946,4.2144818 39.830818,4.2008743 39.830334,4.1949859 39.836441,4.1776981 39.840572,4.1600957 39.854763,4.1536164 39.854191,4.1374359 39.865704,4.1232858 39.87114,4.1074429 39.875568,4.0869832 39.885014,4.0803652 39.892448,4.0736127 39.894836,4.0554495 39.908298,4.0486736 39.910912,4.0383077 39.913792,4.0134163 39.925968,4.0015039 39.926243,4 39.927071,3.9961677 39.926926,3.9902439 39.927334,

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Shapefile Germany json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Germany in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every GIS system should be able to work with the data. Sample data: Name: Deutschland Shape type: 25 (PolygonM) Field names: Name Field types: String:50 Number of shapes: 1 Begin shape 1 of 1 Shape id: 1 Shape type: 25 (PolygonM) Shape record: Deutschland Vertex: 8.712532 47.692883 0.000000 0.000000 Vertex: 8.703282 47.695909 0.000000 0.000000 Vertex: 8.696174 47.696222 0.000000 0.000000 Vertex: 8.670170 47.688208 0.000000 0.000000 MULTIPOLYGON(((13.1271364 54.4694154,13.1207806 54.4486293,13.124013 54.4440709,13.1370545 54.4445353,13.1458005 54.4479173,13.2021202 54.4696251,13.2157373 54.4686868,13.2183625 54.4653273,13.2249065 54.4670648,13.2279825 54.4742454,13.2234129 54.482959,13.2285538 54.485849,13.2267011 54.4869364,13.2080833 54.4855757,13.1980274 54.4893109,13.2000436 54.4921834,13.1971271 54.4937108,13.1811625 54.4947668,13.1563698 54.4890536

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Shapefile Districts in Germany json kml shp sql wkt

What information does the dataset contain These files contain vector data on all German districts, both regional and urban districts, in various and universal geodata formats. What data fields/columns are included District Name; Border Perimeter Shape Additional fields: District Code, Population, Type of District Which file format is the data available in The coordinate format is WGS84 projection. The following data formats are available: shapefile for ESRI ArcGIS KML for Google Maps/Google Earth GeoJSON for web applications or Quantum GIS WKT as a text presentation SQL for Mysql-Postgresql-Geometry, SVG for image-processing programs Therefore, almost any geo-information system should be able to import the data. How many entries does the dataset have 402 Entries (Each entry is one of the following: urban district, metropolitan area, county district, or regional collective.) When was the data compiled Data was collected and compiled in August 2012 using OpenStreetMap. That is to say, the 2011 reform of municipality boundaries in Mecklenburg-Vorpommern is considered. The extent to which the data is correct, complete, and up-to-date cannot be guaranteed, due to the changing nature of boundaries. In costal areas, only the landmass of the boundary shape is taken into account, no boundaries on the water are considered. What is the source of the data Data from OpenStreetMap ( http://www.openstreetmap.org/ ) - published under the CC-BY-SA 2.0 license ( http://creativecommons.org/licenses/by-sa/2.0/ ). Each section of the data must also stay under this license; the original source must be cited with each use.The price listed below includes the processing and formatting of the data, and is not a licensing fee. The OpenStreetMap data can be used without a licensing fee. Sample data: id osm_id _prefix name _einwohner _kreisschluessel geometry 1 62675 Kreisfreie Stadt Flensburg 88750 01001 [GEOMETRY - 12,2KiB] 2 62763 Kreisfreie Stadt Kiel 239520 01002 [GEOMETRY - 35,0KiB] 3 62463 Kreisfreie Stadt Lübeck 210230 01003 [GEOMETRY - 48,5KiB] 4 62528 Kreisfreie Stadt Neumünster 76830 01004 [GEOMETRY - 14,2KiB] 5 62576 Kreis Dithmarschen 134790 01051 [GEOMETRY - 57,1KiB]

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Shapefile of Swiss Postal Codes json kml shp sql wkt

This file contains the postal code borders of all Swiss postal codes as vector data in various universal geodata formats. What data fields/columns are included City/municipality name, postal code, number addition (for cities with multiple postal codes, eg. Zurich) Which file format is the data available in The projection is WGS84. The following data formats are available: shapefile for ESRI ArcGIS KML for Google Maps/Google Earth GeoJSON for web applications or Quantum GIS WKT as a text presentation SQL for Mysql-Postgresql-Geometry SVG for image-processing programs Therefore, almost any geo-information system should be able to import the data. How many entries does the dataset contain 4,183 When was the data compiled 2012 What source is the data from Source: «Cadastral Suverying in Switzerland/swisstopo». In the case of commercial use, the sources must be cited; otherwise the data may be used freely. Sample data: { "type": "Feature", "properties": { "Zusatz": "0","Plz": "4663","Name": "Aarburg" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [[[7.89254158493761,47.3187850925986],[7.89267123542171,47.3188487490495],....]] ] } } , { "type": "Feature", "properties": { "Zusatz": "0","Plz": "4912","Name": "Aarwangen" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [[[7.74522211793501,47.2223335019712],[7.74501300199971,47.2222986172674],.....]]] ] } }

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Shapefile France json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of France in various and universal geodata formats. Scale: 1:1 Million. Projection: WGS84. The following data formats are available: shapefile for ESRI ArcGIS, KML for Google Maps/Google Earth, GeoJSON for web applications or Quantum GIS, WKT as a text presentation, SQL for Mysql-Geometry. Thereby almost every geo-information system should be able to import the data. Sample data: MULTIPOLYGON(((-3.1914561 48.868607,-3.189023 48.870426,-3.1896908 48.874989,-3.191762 48.876133,-3.1952274 48.875458,-3.2004046 48.878662,-3.1993546 48.880711,-3.1955533 48.879333,-3.188627 48.879547,-3.1844833 48.877483,-3.1848712 48.869961,-3.1914561 48.868607)),((-4.8659701 48.046261,-4.8700409 48.045753,-4.874351 48.041821,-4.8607411 48.042,-4.8547735 48.035698,-4.8511162 48.038708,-4.8518877 48.041889,-4.8587127 48.042484,-4.8659701 48.046261)),((-2.9795828 47.399033,-2.9769831 47.396477,-2.9604104 47.39027,-2.9543869 47.389713,-2.9391785 47.392666,-2.9505737 47.383484,-2.9463861 47.378387,-2.9484849 47.375908,-2.9518626 47.375278,-2.9862518 47.390453,-2.9904895 47.394176,-2.9893827 47.397129,-2.9795828 47.399033)),((-3.1409483 47.3382,-3.1417739 47.333183,-3.1352124 47.328518,-3.1224482 47.329243,-3.116282 47.32275,-3.1052012 47.323273,-3.104733 47.321407,-3.1034155 47.316162,-3.0977771 47.314247,-3.0765505 47.317585,-3.055887 47.313843,-3.0552981 47.311317,-3.0638061 47.29705,-3.0695808 47.294624,-3.0734575 47.288742,

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map of US states as shapefile, KML, svg vector data json kml shp sql wkt

The files contain the state borders of all 50 US states as vector data in a number of common geodata formats for download. What data fields/columns are included name of the state, shape polygon of state borders Which file format is the data available in Projection: WGS84. The available file formats are .shp Shapefile for ESRI ArcGIS, KML for Google Earth, GeoJSON for Web Applications or Quantum GIS, WKT as pure text representation and SQL as Mysql-Geometry. So that nearly all GIS programs should be able to import and work with the data. How many entries does the dataset contain all 50 states: Alabama Alaska Arizona Arkansas California Colorado Connecticut Delaware Florida Georgia Hawaii Idaho Illinois Indiana Iowa Kansas Kentucky Louisiana Maine Maryland Massachusetts Michigan Minnesota Mississippi Missouri Montana Nebraska Nevada New Hampshire New Jersey New Mexico New York North Carolina North Dakota Ohio Oklahoma Oregon Pennsylvania Rhode Island South Carolina South Dakota Tennessee Texas Utah Vermont Virginia Washington West Virginia Wisconsin Wyoming When was the dataset created 2012 What source is the data from The data is an extract from OpenStreetMap (http://www.openstreetmap.org/)- published under CC-BY-SA 2.0 (http://creativecommons.org/licenses/by-sa/2.0/) license. When using this data, you have to respect the license conditions, e.g. using the above attribution + links. The price of the dataset is processing costs, the OpenStreetmap data itself can be used without a license fee.

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