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Search results matching "Geography"

Shapefile Bulgaria json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Bulgaria 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(((27.6877406 41.9767529,27.6855232 41.9703469,27.6847572 41.9701501,27.6821502 41.9694439,27.6802617 41.9646557,27.6772008 41.9642184,27.6747967 41.9694971,27.6652378 41.9633641,27.662793 41.9638407,27.6610078 41.9681922,27.6542392 41.9668626,27.6453174 41.961868,27.6435268 41.9657734,27.6416784 41.9650956,27.6361343 41.9630605,27.6275936 41.9654007,27.6251254 41.9642766,27.6257206 41.9619886,27.6339327 41.956663,27.6194874 41.948954,27.6139626 41.9473863,27.6133919 41.9535674,27.6078913 41.9552075,27.5918686 41.9420008,27.5885068 41.9424816,27.5824072 41.947317,27.5793587 41.9473253,27.5796127 41.9422825,27.5718932 41.9329407,27.5798474 41.9315173,27.580438 41.9290104,27.5687636 41.9247043,27.5687496 41.9233317,27.5769973 41.9216969,27.5780493 41.9197383,27.5791222 41.9177989

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Shapefile Slovenia json kml shp sql wkt

The files contain vector data on the geopolitical boundaries of Slovenia 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(((16.3670286 46.7193747,16.3575297 46.713841,16.3495459 46.71763,16.3435763 46.7323267,16.3330703 46.741262,16.3283733 46.7481092,16.3209177 46.7539291,16.3221893 46.760741,16.3279492 46.7689687,16.3271079 46.7742827,16.3142879 46.7762071,16.3104452 46.7889795,16.3150015 46.7949681,16.3296121 46.7979969,16.3380086 46.8058821,16.3363468 46.8130467,16.3396028 46.8198137,16.3445832 46.8301074,16.3438944 46.8372343,16.338718 46.8461653,16.3271754 46.8475727,16.315763 46.8579337,16.3144267 46.8579879,16.3025272 46.8591832,16.2918276 46.8699612,16.2814465 46.8731515,16.2579053 46.8750806,16.2445581 46.8752033,16.2344489 46.8779227,16.2172032 46.8717804,16.192222 46.8687257,16.1794925 46.8607735,16.1607291 46.859957,16.1436609 46.8556512,16.13312 46.8572311,16.1234767 46.8613086

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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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World map: Shapefile country borders json kml shp sql

What is contained in the dataset The files include the geodata of national borders of all countries of the world as a world map in different popular geodata formats. Which information and data fields are included name of the country, national border polygon of the country In welchem Datenformat/Dateiformat werden die Daten bereitgestellt Projection for coordinates is WGS84. The data is generalized. File formats are .shp Shapefile for ESRI ArcGIS, .KML for Google Maps or Earth, GeoJSON for Web-Applications or Quantum GIS and .SQL as MySQL- and PostgreSQL database with geometry column. Therefore nearly all GIS systems should be able to work with the data. How many entries does the dataset contain 254 entries When was the dataset last updated in 2013 Sample from the dataset: 17 Azerbaijan [GEOMETRY - 15,2KiB] 18 Burundi [GEOMETRY - 4,8KiB] 19 Belgium [GEOMETRY - 10,2KiB] 20 Benin [GEOMETRY - 9,7KiB] 21 Burkina Faso [GEOMETRY - 17,4KiB] 22 Bangladesh [GEOMETRY - 36,1KiB] 23 Bulgaria [GEOMETRY - 13,8KiB]

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Administrative borders municipalities Luxembourg json kml shp sql wkt

Dataset content: The files contain the administrative borders of all 116 municipalities/cities in Luxembourg in different popular geodata formats as vector data. The dataset is useful for geo positioning and distance search as well as visualization. Data columns: Name of the municipality, border shapes Data format: Projection of coordinates is GS84. The available file format are shapefile for ESRI Arcgis, KML für Google Earth, GeoJSON for web applications and Quantum GIS, WKT as text representation, SVG for vector images and SQL Geometry for Postgresql-Databases. Number of entries: 116 municipalities Date of collection: Data was compiled in August 2012 from OpenStreetMap. Data source: 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. Dataset preview: { "type": "FeatureCollection", "features": [ { "type": "Feature", "properties": { "Name": "Bascharage" }, "geometry": { "type": "MultiPolygon", "coordinates": [ [[[5.9481676,49.5604069],[5.948452,49.5596077],

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Directory of German street names csv txt

The files contain an exhaustive list of all German street names. The list is ordered by the city name. This name is usually normalized to the official Wikipedia name. Possible usage scenarios include a validation of street names in web forms and normalization of address directories to reduce postage costs for incomplete deliveries due to incorrect addresses. data fields: city name, street name the file has 1.127.107 lines. Extract of the data: "Bonn";"Abenteuerweg" "Bonn";"Abtstr." "Bonn";"Acherstr." "Bonn";"Achim-von-Arnim-Str." "Bonn";"Ackerstr." "Bonn";"Adalbert-Stifter-Str." "Bonn";"Adele-Schopenhauer-Weg" "Bonn";"Adelheidisplatz" "Bonn";"Adelheidisstr." "Bonn";"Adenauerallee" "Bonn";"Adolf-Hombitzer-Str." "Bonn";"Adolf-Quad-Str." "Bonn";"Adolfstr." "Bonn";"Adrianstr." "Bonn";"Aegidienstr." "Bonn";"Aennchenplatz" "Bonn";"Aennchenstr." "Bonn";"Aggerstr." "Bonn";"Agnesstr." "Bonn";"Agnetendorfer Str." "Bonn";"Agrippinenstr." ...

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