OpenStreetMap VS GRASS GIS
Compare OpenStreetMap VS GRASS GIS and see what are their differences
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OpenStreetMap
Google Maps
Mapbox
Apple Maps
OsmAnd
HERE WeGo
Outdooractive
Komoot
GRASS GIS
QGIS
ArcGIS
SAGA GIS
Garmin BaseCamp
uDig
gvSIG
GeoDa
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.
OpenStreetMap GRASS GISGRASS 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, OpenStreetMap seems to be a lot more popular than GRASS GIS. While we know about 129 links to OpenStreetMap, 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.
You can go to https://openstreetmap.org/ , zoom in and enable the map data layer. From there history is accessible. - Source: Hacker News / 3 months ago
Hi! I am working on a project mapping bike racks around my city on OpenStreetMap. One of the attributes that I tag is the rack's capacity, but I haven't come to a conclusion about the capacity of these wave-shaped racks:. Source: 6 months ago
I need the bounding boxes of all adminstrative units in a specific region from the largest (e.g. The state) to the smallest (whatever this is called) including the full name of the district. What I mean by that is what is displayed on openstreetmap.org when I search for e.g. Brooklyn: it will be displayed in the search results as "Brooklyn, Kings County, New York, United States of America" – the names joined from... Source: 6 months ago
It's OpenStreetMap (ODbL) and Natural Earth (public domain) currently * http://openstreetmap.org * http://naturalearthdata.com. - Source: Hacker News / 7 months ago
Pikmin Bloom sources Decor locations from OpenStreetMap, it’s not always 100%, but it’s close enough. Source: 7 months 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
Google Maps - Find local businesses, view maps and get driving directions in Google Maps.
QGIS - QGIS is a desktop geographic information system, or GIS.
Mapbox - An open source mapping platform for custom designed maps. Our APIs and SDKs are the building blocks to integrate location into any mobile or web app.
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.
Apple Maps - Maps features an all-new design with smart features to make finding and getting to your destination easier than ever.
SAGA GIS - SAGA - System for Automated Geoscientific Analyses - is a Geographic Information System (GIS)...