Open Source
GRASS GIS is completely free and open-source, allowing users to access its full range of features without any licensing fees. This promotes greater accessibility and collaboration in the geospatial community.
Comprehensive Toolset
It offers a wide array of tools for spatial modeling, geostatistics, and data visualization, making it suitable for various types of spatial analysis.
Cross-Platform Compatibility
GRASS GIS can be used on multiple operating systems, including Windows, macOS, and Linux, providing flexibility for users with different personal setups.
Strong Community Support
A dynamic user and developer community actively contributes to the software’s development, making continuous improvements and offering extensive support through forums and mailing lists.
Interoperability
GRASS GIS can work well with other geospatial software, including QGIS, Python, and R, allowing for an integrated workflow.
GRASS GIS primarily caters to geospatial professionals, researchers, and students in fields like geography, environmental science, urban planning, and geology. It is also used by government agencies and non-profit organizations for spatial data analysis and environmental modeling.
As an open-source tool, GRASS GIS doesn’t have “customers” in the traditional sense. However, it is widely used by various government agencies, academic institutions, and environmental organizations worldwide. Notable users include space agencies, numerous universities and research institutions as well as companies involved in geospatial studies and analysis.
GRASS GIS was initially developed by the U.S. Army Corps of Engineers as a tool for land management and environmental planning. It was first released in the early 1980s and has since evolved into a robust, multi-functional GIS platform, largely due to contributions from a global community of developers. GRASS GIS is a founding member project of the Open Source Geospatial Foundation (OSGeo.org).
GRASS GIS is primarily written in C, Python, and C++. It uses a range of geospatial libraries and technologies, including GDAL for data conversion, PROJ for coordinate transformations, and can interface with SQL databases.
Https://grass.osgeo.org/
GRASS GIS offers powerful raster, vector, and geospatial processing engines in a single integrated software suite. It includes tools for terrain and ecosystem modeling, hydrology, visualization of raster and vector data, management and analysis of geospatial data, and the processing of satellite and aerial imagery. It comes with a temporal framework for advanced time series...
– Source: Hacker News
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7 months ago
We haven’t looked at integrating GRASS yet, as we’re more interested in data display, not deep analysis. Just another example of a C/C++ library with front end bindings for Python. Numbers are crunched in C/C++, results returned to Python.
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over 1 year ago
Anyone have good advice for where to learn how to use GRASS.
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over 1 year ago
Outside of personal experience, based on second-hand insight: GRASS is an extremely powerful tool, if you’re not familiar with it already, and you can use it from the CLI and from Python. If you’d like to step out of Python at some point, I hear Java is used a lot for enterprise GIS, while Julia looks like the language of the future (especially now with JuliaGeo), but that still remains to be seen.
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almost 2 years ago
Sometimes some modules from GRASS like r.lake at the moment.
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almost 2 years ago
Rgass7. Mapsets and examples at https://grass.osgeo.org/.
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over 2 years ago
Add GRASS https://grass.osgeo.org/ to that list , QGIS was first made for linux ( if I recall correctly).
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over 2 years ago
Well if you are looking for open source alternatives also check out GRASS GIS (https://grass.osgeo.org/) and other software provided by OSGeo https://www.osgeo.org/projects/.
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almost 3 years ago