GIS2DJI is a Python 3 program created to exports GIS files to a simple kml compatible with DJI pilot. The software is provided with a GUI. GIS2DJI has been tested with the following file formats: gpkg, shp, mif, tab, geojson, gml, kml and kmz. GIS_2_DJI will scan every file, every layer and every geometry collection (ie: MultiPoints) and create one output kml or kmz for each object found. It will import points, lines and polygons, and converted each object into a compatible DJI kml file. Lines and polygons will be exported as kml files. Points will be converted as PseudoPoints.kml. A PseudoPoints fools DJI to import a point as it thinks it's a line with 0 length. This allows you to import points in mapping missions. Points will also be exported as Point.kmz because PseudoPoints are not visible in a GIS or in Google Earth. The .kmz file format should make points compatible with some DJI mission software.

This dataset contains spatial boundaries for the DevWA Area relating to the City of Perth Planning Scheme No.2.Please see https://perth.wa.gov.au/develop/planning-framework/planning-schemes and https://perth.wa.gov.au/develop/planning-framework/planning-policies-and-precinct-plans for more information regarding the City of Perth Planning Schemes. Show full description

Overview

Empower your location data visualizations with our edge-matched polygons, even in difficult geographies.

Our self-hosted geospatial data cover administrative and postal divisions with up to 5 precision levels. All levels follow a seamless hierarchical structure with no gaps or overlaps.

The geospatial data shapes are offered in high-precision and visualization resolution and are easily customized on-premise.

Use cases for the Global Administrative Boundaries Database (Geospatial data, Map data)

• In-depth spatial analysis

• Clustering

• Geofencing

• Reverse Geocoding

• Reporting and Business Intelligence (BI)

Product Features

• Coherence and precision at every level

• Edge-matched polygons

• High-precision shapes for spatial analysis

• Fast-loading polygons for reporting and BI

• Multi-language support

For additional insights, you can combine the map data with:

• Population data: Historical and future trends

• UNLOCODE and IATA codes

• Time zones and Daylight Saving Time (DST)

Data export methodology

Our location data packages are offered in variable formats, including - .shp - .gpkg - .kml - .shp - .gpkg - .kml - .geojson

All geospatial data are optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more.

Why companies choose our map data

• Precision at every level

• Coverage of difficult geographies

• No gaps, nor overlaps

Note: Custom geospatial data packages are available. Please submit a request via the above contact button for more details.

XLS camaras-trafico.xls 다운로드 Traffic Cameras (XLS) KML camaras-trafico.kml 다운로드 Traffic Cameras (KML) JSON camaras-trafico.json 다운로드 Traffic Cameras (JSON) JSON camaras-trafico.geojson

Countywide datasets are available as zipped Esri geodatabases. Sets of the 5-foot-interval contours at township-level extents are available as zipped shapefiles in addition to geodatabases. (None of the data are available in GeoJSON or KML format.) Note that the zipped files are exceptionally large.All files are compressed in the open-source 7-Zip format (external link to 7-zip.org). Other utilities which can extract zipped files will work in most cases, but some of these data files might extract with 7-Zip only.

This API accesses QLD Government's WildNet data that has been approved for public release. There are a number of functions that retrieve species names, profiles, notes, statuses, images, species survey locations and project information.
Please see http://environment.ehp.qld.gov.au/species for more information on using the API functions.
Data can be retrived in 3 different formats by adding the format variable to the end of the url (e.g. &f=xml). The default format is json if the f (format) variable is omitted.
E.g.
- JSON: http://environment.ehp.qld.gov.au/species/?op=getkingdomnames&f=json
- XML: http://environment.ehp.qld.gov.au/species/?op=getkingdomnames&f=xml
- CSV: http://environment.ehp.qld.gov.au/species/?op=getkingdomnames&f=csv

When spatial locations are returned, GeoJSON or KML will be used when requesting the json and xml formats.

Species profile search can be used to locate species information (by name or a taxonomy search). It uses the Get species by ID function to display species profiles with images and maps and uses the Get surveys by species function for downloading data.

WetlandMaps provides a map interface to display the data derived from Get sites, Get surveys and Species search functions with other spatial layers (such as protected areas and wetland mapping). The resources listed below are the service endpoints for each of the operations (or functions) available.

Available variables
f: Format - Setting the 'f' variable will determine the format of the response. There are 4 possible options; json, xml, kml and csv. Json is the default if 'f' is not set. If the output is spatial, GeoJson will be return for 'f=json' and KML will be returned for 'f=xml' or 'f=kml'.
projids: Project Ids - Comma separated list of project ids.
projtitle: Project Title - A title (full or partial) that is used as a search string to search for a project or projects.
proj: Include Project Details - This indicates if the project details are to be included in the output. The default is true.
org: Organisation ID - An ID that is associated with an organisation.
bbox: Bounding Box - A bounding box that defines a geographical area. Specified as top left, bottom right, e.g. latitude,longitude,latitude,longitude.
circle: Circle - A circle (buffered point) that defines a geographical area. Specifed as a centroid and a radius (metres), e.g. latitude,longitude,distance.
pagecount: Page Count - The number of records to return on a page.
pageindex: Page Index - The page index to return.
p: Location Precision - The distance in metres that indicates the accuracy of the records location.
min: Minimum Start Date - The earliest date for a record to be returned.
max: Maximum Start Date - The latest date for a record to be returned.
kingdom: Kingdom - A kingdom's common name.
class: Class - A class scientific name.
classes: Classes - A comma separated list of class scientific names.
family: Family - A scientific family name.
species: Species Name - A scientific species name.
taxonid: Taxon ID - A unique id that identifies a particular species.

Data showing current city plans in Södertälje municipality. Type of plan, plan name, file designation and coordinates in WGS84 format. The data set contains four files. The GeoJSON and KML files show all data. The XLSX and CSV files do not contain coordinates and are intended to make it easier to understand the amount of data.

With a detailed plan, the municipality regulates how land and water are to be used and what the buildings are to look like. The detailed plan therefore talks about what you and others may and may not do for construction measures within the planning area. A detailed plan is displayed as a specific area on a plan map. The detailed plan map includes a plan description, which explains the purpose and content of the plan. Sometimes other documents are also included, such as an illustration map or an environmental impact statement.

https://www.boverket.se/sv/samhallsplanering/sa-planeras-sverige/kommunal-planering/detaljplanering/

This dataset contains Mining Leases issued under the Minerals Development Act (Northern Ireland) 1969 by the Department for the Economy. These data geometry are polygons showing the extent of the lease. The attribute table identifies the Lease ID, the Lease Holder, the date the lease was issued and the date the lease is due to expire. These data are provided in the following formats: Geodatabase, GeoJSON, Geopackage, KMZ. GeoJSON and KML data are in Lat Long, WGS84. GeoDatabase, GeoPackage are in Irish National Grid.

KML teatros_cines.kml 다운로드 Theatres/Cines/Multi-purpose rooms of Vigo (KML) JSON teatros_cines.json 다운로드 Theatres/Cines/Multi-purpose rooms of Vigo (JSON) JSON teatros_cines.geojson

This dataset is of simplified geometries from COD live services deployed June 2019. Simplification methods applied from ESRI libraries using Python, Node.js and Mapshaper.js and based on adapted procedures for best outcomes preserving shape, topology and attributes. These data are not a substitute for the original COD data sets used in GIS applications. No warranties of any kind are made for any purpose and this dataset is offered as-is. Versions of topojson, kml and csv are also available. For a list of other simplified CODs see the address list: https://github.com/UGA-ITOSHumanitarianGIS/mapservicedoc/raw/master/Data/AWSDeploymentURLlist.xlsx

This dataset provides areas of restricted waters for port security or naval purposes.\r \r Maritime NSW Port Security Zone data is available in the following formats:\r \r - a searchable API\r - csv\r - geoJSON\r - JSON\r - kml\r - shapefile\r \r The dataset also includes an interactive map, which enables simple data querying and provides a visual representation of the locations.\r Data is refreshed every week.\r

This dataset provides all known aids to maritime navigation in NSW, including both private and public channel markers. The key attribute is symbology which contains a numeric value from NSW Maritime symbolset representing the type of navigation aid. Maritime NSW Aid to Navigation data available in the following formats: a searchable api csv geoJSON JSON kml shapefile An interactive map shows the locations of Maritime NSW Aid to Navigation and data is updated weekly.

Download high-quality, up-to-date Taiwan shapefile boundaries (SHP, projection system SRID 4326). Our Taiwan Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Download high-quality, up-to-date Syria shapefile boundaries (SHP, projection system SRID 4326). Our Syria Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.

Countywide datasets are available as zipped Esri geodatabases. Sets of the 5-foot-interval contours at township-level extents are available as zipped shapefiles in addition to geodatabases. (None of the data are available in GeoJSON or KML format.) Note that the zipped files are exceptionally large.All files are compressed in the open-source 7-Zip format (external link to 7-zip.org). Other utilities which can extract zipped files will work in most cases, but some of these data files might extract with 7-Zip only.

An area depicting ownership parcels of the surface estate. Each surface ownership parcel is tied to a particular legal transaction. The same individual or organization may currently own many parcels that may or may not have been acquired through the same legal transaction. Therefore, they are captured as separate entities rather than merged together. This is in contrast to Basic Ownership, in which the surface ownership parcels having the same owner are merged together. Basic Ownership provides the general user with the Forest Service versus non-Forest Service view of land ownership within National Forest boundaries. Surface Ownership provides the land status user with a current snapshot of ownership within National Forest boundaries. MetadataThis record was taken from the USDA Enterprise Data Inventory that feeds into the https://data.gov catalog. Data for this record includes the following resources: ISO-19139 metadata ArcGIS Hub Dataset ArcGIS GeoService OGC WMS CSV Shapefile GeoJSON KML For complete information, please visit https://data.gov.

Data containing the municipal border in Södertälje municipality. Two different file formats, GeoJSON and .KML Note that in addition to the main municipal border, there are some small areas belonging to Södertälje municipality that are surrounded by Nykvarn municipality. These are listed as separate areas in the same files.

This dataset provides the locations of Maritime NSW boat ramps along with details such as the responsible authority, ramp condition, contact details and the available facilities (e.g. toilets, fuel, BBQ facilities, etc.) The dataset is available in the following formats: a searchable API csv GeoJSON JSON KML SHP

The dataset contains public transport stop data for buses, trains and trams in shapefile, geojson and kml format. The dataset contains public transport stop data for buses, trains and trams in shapefile, geojson and kml format.

Download high-quality, up-to-date Austria shapefile boundaries (SHP, projection system SRID 4326). Our Austria Shapefile Database offers comprehensive boundary data for spatial analysis, including administrative areas and geographic boundaries. This dataset contains accurate and up-to-date information on all administrative divisions, zip codes, cities, and geographic boundaries, making it an invaluable resource for various applications such as geographic analysis, map and visualization, reporting and business intelligence (BI), master data management, logistics and supply chain management, and sales and marketing. Our location data packages are available in various formats, including Shapefile, GeoJSON, KML, ASC, DAT, CSV, and GML, optimized for seamless integration with popular systems like Esri ArcGIS, Snowflake, QGIS, and more. Companies choose our location databases for their enterprise-grade service, reduction in integration time and cost by 30%, and weekly updates to ensure the highest quality.