GRASS GIS
GRASS GIS (Geographic Resources Analysis Support System) is a free and open-source Geographic Information System (GIS) software suite utilized for geospatial data management and analysis, image processing, graphics and map production, spatial modeling, and visualization. It supports raster, vector, and geospatial processing, enabling advanced modeling, data management, imagery processing, and time series analysis with a Python API, optimized for large-scale analysis. GRASS GIS is compatible with multiple operating systems, including OS X, Windows, and Linux, and can be accessed through a graphical user interface or integrated with other software such as QGIS. The software includes over 350 modules for rendering maps and images, manipulating raster and vector data, processing multispectral image data, and creating, managing, and storing spatial data. GRASS GIS is widely used in academic and commercial settings, as well as by governmental agencies.
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Oracle Spatial
In keeping with Oracle's mission to help people see data in new ways, discover insights, unlock endless possibilities, Oracle Database now includes machine learning, spatial and graph features. If you have an Oracle Database license, you can use all the industry-leading machine learning, spatial and graph capabilities for development and deployment purposes on-premise and in Oracle Cloud Database Services. Oracle's spatial database is included in Oracle's converged database, allowing developers and analysts to get started easily with location intelligence analytics and mapping services. It enables Geographic Information System (GIS) professionals to successfully deploy advanced geospatial applications. Organizations can manage different types of geospatial data, perform hundreds of spatial analytic operations, and use interactive map visualization tools with the spatial features in Oracle Autonomous Database and Oracle Database.
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TdhGIS
TdhGIS provides a robust and versatile set of tools for vector based spatial analysis. Everything needed to be performing spatial analysis within minutes is included in this easy to use software package.
Feature Summary:
Graphically create and edit geometric data, as with a CAD program
Import Shapefiles and OpenStreetMap data
Use raster images as background and a CAD drawing as an overlay
Color polygons based on user data values using either discrete intervals or gradients
Allocate point data to user specified buffers for points, polygons and multilines (e.g. find all gas stations within 1 mile of a highway)
Allocate point data to polygons. (e.g. assign structures to hydrological basins)
Allocate polygon data to other polygons. (e.g. allocate population data by census block to political boundaries)
Create thiessen polygons (e.g. for all hospitals within a state, define the areas closest to each hospital)
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OpenStreetMap
OpenStreetMap provides map data for thousands of web sites, mobile apps, and hardware devices. OpenStreetMap is built by a community of mappers that contribute and maintain data about roads, trails, cafés, railway stations, and much more, all over the world. OpenStreetMap emphasizes local knowledge. Contributors use aerial imagery, GPS devices, and low-tech field maps to verify that OSM is accurate and up to date. OpenStreetMap's community is diverse, passionate, and growing every day. Our contributors include enthusiast mappers, GIS professionals, engineers running the OSM servers, humanitarians mapping disaster-affected areas, and many more. To learn more about the community, see the OpenStreetMap Blog, user diaries, community blogs, and the OSM Foundation website. OpenStreetMap is open data: you are free to use it for any purpose as long as you credit OpenStreetMap and its contributors.
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