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.
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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.
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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).
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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, Komoot should be more popular than GRASS GIS. It has been mentiond 21 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.
Have you tried looking at https://www.opencyclemap.org/ or something like komoot.com? OCM will show you the cycle routes around (as /u/CaptRik says, the 236 national cycle route will take you there - looks to be a simple route), and Komoot can do a route plan for you between two points which you can follow in an app and also shows a breakdown of what type of surface and road you'll be on. For your route, it's... Source: 11 months ago
I usually use komoot (komoot.com, but there's also an app). IIRC it's paid, if you want the maps offline (can be bought for $10 on sale, otherwise $30). Do note that not all countries are supported, so best to check this out first.. Source: 12 months ago
Got any friends that cycle? See if you can borrow a bike and go for a ride with one of them for an hour or two one evening - just get used to being on the road, how to signal, etc. If you're already comfy on a bike then it'll come really easy, and your fitness will build surprisingly fast too. Also maybe have a look on something like Komoot to check out possibly routes, Oxford has a surprising amount of little... Source: 12 months ago
Just downloaded Arc, very interesting, excited to try this new experience. I use komoot.com a lot to plan my bike rides, but when I opened it in Arc, it seems like it cannot render the map section because of Komoot not being able to access WebGL. Did anyone experience similar problems, even with other websites? Source: 12 months ago
You can use other route finder like strava.com , komoot.com, ridewithgps.com. Source: about 1 year ago
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: 12 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
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