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 processing and a Python API for rapid geospatial programming. GRASS GIS has been optimized for performance and large geospatial data analysis.
GRASS GIS's answer
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.
GRASS GIS's answer
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's answer
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's answer
GRASS GIS's answer
GRASS GIS's answer
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.
Based on our record, Felt should be more popular than GRASS GIS. It has been mentiond 26 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://grass.osgeo.org/- Source: Hacker News / 2 months agoGRASS 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...
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. Source: 11 months ago
Anyone have good advice for where to learn how to use GRASS. Source: 12 months 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. Source: over 1 year ago
Sometimes some modules from GRASS like r.lake at the moment. Source: over 1 year ago
How does this compare to Felt [1]? It would be nice to have some plans with listed prices in between "Free" and "Enterprise" ("book a demo"). For comparison, Felt has $30/mo and $90/mo plans. Calling yourselves "the new standard for GIS software" seems like overly strong branding. [1]: https://felt.com/. - Source: Hacker News / 3 months ago
Felt | Engineering Manager, App and Data | Oakland, CA or REMOTE (US timezones) | Full Time | https://felt.com Felt is the best way to make maps on the internet. It's surprisingly hard to make a map today, and people in 15+ industries rely on them to do their jobs. Climate change and the resulting natural disasters are forcing even more people to become map-makers, and Felt is here to meet that need. It's the... - Source: Hacker News / 5 months ago
For anyone else who follows along in this domain, there's an interesting competitor in the space I stumbled across recently: https://felt.com/ Pretty nice looking product and robust feature set. Love to see GIS tooling becoming more accessible. - Source: Hacker News / 6 months ago
There are pockets of truly open geodata though, like OpenStreetMap (even though it only services a very specific kind of geodata). People also put a lot of spatial data on Zenodo. There are even platforms out there built for almost exactly what you describe, like Koordinates and Felt, as well as means of managing your data in a way similar to managing source files, like Kart. Source: 6 months ago
I don't know if there's a readymade tool for this, but maybe you could plot it as a collaborative map so that it's clear which drivers/passengers are close to each other? Something like https://felt.com/ might help Or there's this that I've used before, but I think it's really just a signup list and not something that automatically tries to geo-optimize your routes or anything:... - Source: Hacker News / 7 months ago
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