Tag: format

Download Angola Administrative Boundary Shapefiles – National, Provinces and more

Download GIS data of Angola such as Angola National Boundary, Provinces, Municipalities and more. Download in Shapefile or CSV formats

Are you struggling to find accurate and up-to-date GIS data for your desired country? Worry no more, as MAPOG is here to be your ultimate solution! Our platform offers a comprehensive collection of GIS data covering more than 150 countries. You’ll find an impressive selection of over 150 GIS datasets available for each nation in the MAPOG GIS Data Collection. The hallmark of our GIS data lies in its exceptional accuracy, especially when representing administrative divisions. Moreover, our users can access a diverse range of data pertaining to natural and man-made geographic features, including rivers, roads, railway lines, airport locations, and much more, all meticulously represented in appropriate geometric structures (points, lines, and polygons). Facilitating seamless access to this invaluable data are two essential tools – Download GIS Data and Add GIS Data, thoughtfully integrated into the MAPOG platform. To delve deeper into the functionalities of the Add GIS Data tool, check out our enlightening article – “Add GIS data from IGISMap GIS data collection“

With MAPOG’s versatile toolkit, you can effortlessly upload vector and raster files, add WMS (Web Map Service) layers, upload Excel or CSV data, incorporate existing files, perform polygon splitting and merging, generate new polygon and polyline data, use the converter for various formats, conduct buffer analysis, create grids, transform points into polygons, calculate isochrones, and utilize the geocoder for precise location information.

We offer an extensive array of data formats, including KML, SHP, CSV, GeoJSON, Tab, SQL, Tiff, GML, KMZ, GPKZ, SQLITE, Dxf, MIF, TOPOJSON, XLSX, GPX, ODS, MID, and GPS, ensuring compatibility and accessibility for various applications and analyses.

Note:

  • All data available are in GCS datum EPSG:4326 WGS84 CRS (Coordinate Reference System).
  • You need to login for downloading the shapefile.

Download Shapefile Data of Angola

Angola is located on the western Atlantic Coast of Southern Africa between Namibia and the Republic of the Congo. It also is bordered by the Democratic Republic of the Congo and Zambia to the east. The country consists of a sparsely watered and somewhat sterile coastal plain extending inland for a distance varying from 50 to 160 km (31 to 99 mi). Slightly inland and parallel to the coast is a belt of hills and mountains and behind those a large plateau. The total land size is 1,246,700 km2 (481,400 sq mi). It has an Exclusive Economic Zone of 518,433 km2 (200,168 sq mi).

Angola National Boundary
Angola National Boundary

Download Angola National Boundary Shapefile

Download Angola Provinces Shapefile Data

Angola is divided into eighteen provinces, known in Portuguese as províncias:

  • Bengo
  • Caxito
  • Benguela
  • Bié
  • Cabinda
  • Cuando Cubango
  • Cuanza Norte
  • Cuanza Sul
  • Cunene
  • Huambo
  • Huíla
  • Luanda
  • Lunda Norte
  • Lunda Sul
  • Malanje
  • Moxico
  • Namibe
  • Uíge
  • Zaire
Angola Provinces Boundaries
Angola Provinces Boundaries

Download Angola Provinces Boundaries Shapefiles

Other GIS Data:

Download Shapefile for the following:

  1. World Countries Shapefile
  2. Australia
  3. Argentina
  4. Austria
  5. Belgium
  6. Brazil
  7. Canada
  8. Denmark
  9. Fiji
  10. Finland
  11. Germany
  12. Greece
  13. India
  14. Indonesia
  15. Ireland
  16. Italy
  17. Japan
  18. Kenya
  19. Lebanon
  20. Madagascar
  21. Malaysia
  22. Mexico
  23. Mongolia
  24. Netherlands
  25. New Zealand
  26. Nigeria
  27. Papua New Guinea
  28. Philippines
  29. Poland
  30. Russia
  31. Singapore
  32. South Africa
  33. South Korea
  34. Spain
  35. Switzerland
  36. Tunisia
  37. United Kingdom Shapefile
  38. United States of America
  39. Vietnam
  40. Norway
  41. Chile
  42. Crotia

Disclaimer : If you find any shapefile data of country provided is in correct do contact us or comment below, so that we will correct the same in our system as well we will try to correct the same in OpenStreetMap.

NetCDF Multidimensional data

NetCDF (network Common Data Form) is multidimensional data format only supports EPSG 4326 (WGS84). Multi dimensional simply means that it can grow in all direction with time. It has some important vocabulary to defines formation of NetCDF data structure. You may also look over HDF multidimensional Data, GRIB multidimensional data and all multidimensional data. To know about NetCDF you must go through this:

  1. Dimension
  2. Variables
  3. Coordinate Variables
  4. Attributes
  5. Conventions

MultiDimensional Data

Dimensions of NetCDF Multidimensional data:

NetCDF has dimensions from which only one dimension can be Unlimited that can grow up-to any length in any direction.  These dimensions can be physical quantities as latitude, longitude, altitude and time.

Variables:

Variable are array of values of same data type in NetCDF file. A variable has a name, data type, and shape described by its list of dimensions.

Coordinate Variables:

A one-dimensional variable with same name as a dimension is called coordinate variable. We can take an example from figure above float time(time). It is associated with a dimension and one or more data variables. Typically defines a physical coordinate corresponding to that dimension.

Attributes:

NetCDF attributes stores metadata of geographic data. Most attributes provide information about a specific variable. These attributes can be identified with structure variable name:attribute name.

Attribute as Long_name shows full name of given band and Unit shows is measurement unit.

Conventions:

The conventions define metadata that provide a description of the data in each variable and their spatial and temporal properties. A convention helps users of data from different sources decide which quantities are comparable. The convention name is available in global attribute in a netCDF file as shown below.

NetCDF Multidimensional data

Details of NetCDF Multidimensional data:

To see all these you can use GDALinfo or ncdump command.

To use gdalinfo command for having netcdf information, you need to write

–> gdalinfo -json filename.nc

NetCDF Multidimensional data

To use ncdump command for viewing information about NetCDF data, you need to write

–> ncdump filename.nc | more

NetCDF Multidimensional data

If you face any problem in understanding NetCDF multidimensional data, please let us know via comments.