DIVA-GIS - Free GIS Software for Biodiversity Mapping and Analysis
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DIVA-GIS Overview
DIVA-GIS is a free computer program designed for map-making and geographic data analysis, specifically tailored for Geographic Information Systems (GIS). It empowers users to create maps of the world or specific small areas, utilizing various data such as state boundaries, rivers, satellite imagery, and observation sites of animal species. This open-source solution is particularly adept at mapping and analyzing biodiversity data, including species distribution or 'point-distributions'. It facilitates the creation of raster maps of biodiversity distribution, aiding in identifying areas with high, low, or complementary levels of diversity. DIVA-GIS also enables users to predict species distribution using models like BIOCLIM or DOMAIN.
Website Access
The official entry point for DIVA-GIS is accessible through the following link: http://swww.diva-gis.org/
Website Language
While DIVA-GIS is primarily an English-language platform, it does not currently support multilingual options. Users are expected to have a working knowledge of English to fully utilize the program's features and documentation.
Product Features
DIVA-GIS stands out for its user-friendly interface and powerful capabilities, making it an indispensable tool for both professional geographers and students interested in geographic information analysis. It simplifies the complex process of geographic data analysis and provides necessary support through comprehensive documentation and user guides.
Industries and Fields
The platform extends its reach across various fields, including biogeography, biodiversity studies, climate analysis, and species distribution prediction. It serves a wide array of industries that require geographic data analysis and mapping capabilities.
Usage Scenarios
DIVA-GIS is used in scenarios that demand detailed geographic mapping and data analysis. It offers services and functionalities such as creating maps with various layers of geographic data, analyzing biodiversity, and predicting species distribution based on ecological models.
