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).
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, Ethereum seems to be a lot more popular than GRASS GIS. While we know about 148 links to Ethereum, we've tracked only 8 mentions of GRASS GIS. 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.
After my first open-source contribution, I looked for other projects where I could contribute. One of those projects was Ethereum, which is a blockchain network that enables Decentralized Finance, tokenization of assets, and an open internet. While reading through their contributing guidelines, I found an issue in their documentation and ended up fixing it, making my second open-source contribution. - Source: dev.to / 7 months ago
Keep up to date with Bitcoin on Bitcoin.org Keep up to date with Ethereum news on Ethereum.org. Source: 8 months ago
Ethereum - The second biggest cryptocurrency platform after Bitcoin, with its own blockchain and smart contract functionality through Solidity. - Source: dev.to / 10 months ago
Coinbase makes use of the Extended Message Transfer Protocol (XMTP) communication protocol to allow messaging between Ethereum addresses. Source: 12 months ago
Elsewhere, The Sandbox is a blockchain-based virtual world built on Ethereum where players can build, own and monetise their gaming experiences. The platform utilises a ‘play-to-earn’ model to incentivise players for time spent in the metaverse, and is building an open metaverse to enable greater collaboration with creators and brands alike. Source: 12 months ago
Https://grass.osgeo.org/- Source: Hacker News / 4 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: about 1 year ago
Anyone have good advice for where to learn how to use GRASS. Source: about 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. Source: over 1 year ago
Sometimes some modules from GRASS like r.lake at the moment. Source: over 1 year ago
Bitcoin - Bitcoin is an innovative payment network and a new kind of money.
QGIS - QGIS is a desktop geographic information system, or GIS.
Litecoin - Litecoin is a peer-to-peer Internet currency that enables instant payments to anyone in the world.
ArcGIS - ArcGIS software is a data analysis, cloud-based mapping platform that allows users to customize maps and see real-time data ranging from logistics support to overall mapping analysis.
Monero - Monero is a secure, private, untraceable currency. It is open-source and freely available to all.
SAGA GIS - SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS)...