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Shapefile Municipality Boundaries in Germany json kml shp sql wkt

What information does the dataset contain These files contain vector data (with some additional attributes) on all 11,329 German communities (municipalities and cities) in various and universal geodata formats. What data fields/columns are included Municipality Name; Border Perimeter Shape Additional fields: Municipality Code, Population, County, Federal State, Type of Community (eg. City, County 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 11,329 Entries (Each entry is one of the following: urban district, city, county district, uninhabited community independent area, inhabited community independent area, metropolitan area, large metropolitan area, or market.) 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. Comment on the dataset: 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: 941 Kreisangehörige Gemeinde Wulfsmoor Steinburg Schleswig-Holstein 01061117 380 [GEOMETRY - 378B] 942 Stadt Reinbek Stormarn Schleswig-Holstein 01062060 25820 [GEOMETRY - 10.5KiB] 943 Kreisfreie Stadt Braunschweig Braunschweig Niedersachsen 03101000 248860 [GEOMETRY - 17.0KiB] 944 Kreisfreie Stadt Salzgitter Salzgitter Niedersachsen 03102000 102390 [GEOMETRY - 17.3KiB] 945 Kreisfreie Stadt Wolfsburg Wolfsburg Niedersachsen 03103000 121450 [GEOMETRY - 19.0KiB] 946 Stadt Gifhorn Gifhorn Niedersachsen 03151009 41550 [GEOMETRY - 7.4KiB]

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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 Italy json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Italy 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: { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { }, "geometry": { "type": "MultiPolygon", "coordinates": [ [[[12.220986,45.301884],[12.225589,45.305264],[12.227484,45.302956],[12.219569,45.295944]...........

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Shapefile Netherlands json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of the Netherlands 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(((4.0192704 51.7302205,4.0163877 51.7351742,4.0087447 51.7398155,4.0042828 51.7465784,4.0025462 51.7565925,3.9998965 51.7579014,3.9855328 51.7580293,3.9846889 51.7538832,4.0002768 51.7398392,4.0098767 51.7274738,4.0172464 51.727196,4.0192704 51.7302205)),((3.956996 51.7433953,3.94131 51.7411733,3.9370285 51.744748,3.9383963 51.7466018,3.9445177 51.7485798,3.9669325 51.7491268,3.9667474 51.7463736,3.956996 51.7433953)),((6.6618459 53.5940472,6.6633793

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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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List of Bakeries and Affiliates in Germany xls

You will receive a list of 16,000 sites of bakeries and all affiliates in Germany. These have been automatically captured using Openstreetmap ( http://www.openstreetmap.org/ ) and are under the license CC-BY-SA 2.0 ( http://creativecommons.org/licenses/by-sa/2.0/ ). The file is available as an Excel document and, in addition to the name of the bakery, the address, phone number, fax, email, website, and geo-coordinates are included when available. This additional data, however, is not available for all entries (see screenshot). Excerpt of Data: Bäckerei Kauderer Wasenstraße 12, Göppingen-Jebenhausen 73035 +49-7161-945101 9.6337359 48.6885014 Bäckerei Kaufmann +49 6252 71126 www.feinbaeckerei-kaufmann.de Mo-Fr 06:00-18:30; Sa 06:00-13:00; Su 08:00-11:00,14:00-16:00 8.6309766 49.6393503 Bäckerei Kayser Venloer Straße 573, Pulheim 50259 6.7603102 51.0196248 Bäckerei Kazenmayer 9.3807007 47.9509447

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German Administrative Boundaries Geodata sql

What information does the dataset contain The files contain the names and administrative boundaries of all German administrative units, so classified: * 11.329 Communities (municipalities, cities, joint communities, independent municipalities) * 402 Counties / urban districts * 16 Federal states Furthermore, the units are organized hierarchically , so that one can easily see which county a community falls under, or which federal state a county is in. The population is also included. What data fields/columns are included Classification; Name; Population; County Code; Federal State ID Which file format is the data available in .sql - You will receive the data as a database export for MySQL . What is the source of the data The data was extracted from OpenStreetMap (http://www.openstreetmap.org/) and is published under 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.

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