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The Geographic Information Science and Technology Body of Knowledge (GISTBoK) is a reference document produced by the University Consortium for Geographic Information Science (UCGIS) as the first product of its Model Curricula project, started in 1997 by Duane Marble and a select task force, and completed in 2006 by David DiBiase and a team of editors.
The Geospatial Data Abstraction Library (GDAL) is a computer software library for reading and writing raster and vector geospatial data formats (e.g. shapefile), and is released under the permissive X/MIT style free software license by the Open Source Geospatial Foundation.
MapWindow GIS and its associated MapWinGIS ActiveX Control were originally developed by Daniel P. Ames and a team of professors and students at Utah State University in 2002-2003 as part of a research project with the Idaho National Laboratory in Idaho Falls, Idaho as a GIS mapping framework for watershed modelling tools in conjunction with source water assessments conducted by the laboratory.
QGIS is a geographic information system (GIS) software that is free and open-source. [2] QGIS supports Windows, macOS, and Linux. [3] It supports viewing, editing, printing, and analysis of geospatial data in a range of data formats. Its name comes from an abbreviation of its previous name, Quantum GIS.
This is a list of free and open-source software for geological data handling and interpretation. The list is split into broad categories, depending on the intended use of the software and its scope of functionality. Notice that 'free and open-source' requires that the source code is available and users are given a free software license.
One important feature of Jump and OpenJUMP is the ability to work with GIS data in GML format. GML or " Geography Markup Language " is an XML (text-based) format for GIS data. It is a way to describe spatial information in a human readable form, and is an accepted "open standard" for GIS data.
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Geographic information science (GIScience, GISc) or geoinformation science is a scientific discipline at the crossroads of computational science, social science, and natural science that studies geographic information, including how it represents phenomena in the real world, how it represents the way humans understand the world, and how it can be captured, organized, and analyzed.