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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 fil es, 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).

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

Download Angola Provinces Boundaries Shapefiles

Other GIS Data:

Download Shapefile for the following:

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 (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:

Dimension
Variables
Coordinate Variables
Attributes
Conventions

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.

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

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

–> ncdump filename.nc | more

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

Tag: format

Download Angola Administrative Boundary Shapefiles – National, Provinces and more