Written by: Nurullah Opu |
DIVA-GIS is a free computer program for mapping and geographic data analysis (a geographic information system. With DIVA-GIS you can make maps of the World, or of a very small area, using, for example, state boundaries, rivers, a satellite image, and the locations of sites where an animal species was observed.
You can download the program and read the documentation.
They also provide free spatial data for the whole World that you can use in DIVA-GIS or other programs.
Data Sets Present in the Portal
- Global climate data (WorldClim)
- Species occurrence data (GBIF, HerpNET, MaNIS, OBIS, ORNIS, REMIB)
- Crop (genebank) collection data (GENESYS)
- Near global 90 meter resolution elevation data
- High resolution satellite images (LandSat)
About Data
Subject
|
Description
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Source
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Format
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Resolution
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Administrative areas (boundaries)
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Country outlines and administrative subdivisions for all countries. The level of subdivision varies between countries
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GADM, version 1.0
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Vector (area)
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-
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Inland water
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Rivers, canals, and lakes. Seperate files for line and area features
|
Digital Chart of the World
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Vector (line and area)
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-
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Roads
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Roads
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Digital Chart of the World
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Vector (line)
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-
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Railroads
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Railroads
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Digital Chart of the World
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Vector (line)
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-
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Elevation
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SRTM30 dataset. CGIAR-SRTM data aggregated to 30 seconds
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CGIAR SRTM (3 seconds resolution)
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Grid
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30 seconds
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Land cover
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Land cover, original data resampled onto a 30 seconds grid
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GLC2000
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Grid
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30 seconds
|
Population
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Population density (old)
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CIESIN, 2000. Global gridded population database
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Grid
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30 seconds
|
Climate
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Monthly climate data
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Grid
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30 seconds
| |
Gazetteer
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A gazetteer is a list of place names and their coordinates. The files you can download here are for use in DIVA for automatic georeferencing (to assign coordinates to places). The files should be placed in the
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U.S. National Imagery and Mapping Agency's (NIMA) database offoreign geographic feature names
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DBF
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-
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You can use the program to analyze data, for example by making grid (raster) maps of the distribution of biological diversity, to find areas that have high, low, or complementary levels of diversity. And you can also map and query climate data. You can predict species distributions using the BIOCLIM or DOMAIN models.
References:
http://www.diva-gis.org/
http://geoplaza.vu.nl/data/dataset
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