Whitebox Geospatial Analysis Tools
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|Initial release||October 2009|
3.4.0 / 27 January 2017
|Written in||Java, Groovy, Python|
|Available in||Catalan, Chinese (simplified and traditional), English, French, German, Greek, Italian, Persian, Polish, Spanish|
|Type||Geographic information system|
|License||GNU General Public License|
Whitebox Geospatial Analysis Tools (GAT) is an open-source and cross-platform Geographic information system (GIS) and remote sensing software package that is distributed under the GNU General Public License. It has been developed by the members of the University of Guelph Centre for Hydrogeomatics and is intended for advanced geospatial analysis and data visualization in research and education settings. The package features a friendly graphical user interface (GUI) with help and documentation built into the dialog boxes for each of the more than 410 analysis tools. Users are also able to access extensive off-line and online help resources. The Whitebox GAT project started as a replacement for the Terrain Analysis System (TAS), a geospatial analysis software package written by John Lindsay. The current release support raster and vector (shapefile) data structures. There are also extensive functionality for processing laser scanner (LiDAR) data contained with LAS files.
Whitebox GAT contains more than 385 tools to perform spatial analysis on raster data sets. The following is an incomplete list of some of the more commonly used tools:
- GIS tools: Cost-distance analysis, buffer, distance operations, weighted overlays, multi-criteria evaluation, reclass, area analysis, clumping
- Image processing tools: k-means classification, numerous spatial filters, image mosaicing, NDVI, resampling, contrast enhancement
- Hydrology tools: DEM preprocessing tools, flow direction and accumulation (D8, Rho8, Dinf, and FD8 algorithms), mass flux analysis, watershed extraction
- Terrain analysis tools: surface derivatives (slope, aspect, and curvatures), hillshading, wetness index, relative stream power index, relative landscape position indices
- LiDAR tools: IDW interpolation, nearest neighbour interpolation, point density, removal of off-terrain objects (non-ground points)
The Whitebox GAT project has adopted a novel approach for linking the software's development and user communities, known as software transparency, or open-access software (considered an extension of open-source software). The philosophy of transparency in software states that the user 1) has the right to view the underlying workings of a tool or operation, and 2) should be able to access this information in a way that reduces, or ideally eliminates, any barriers to viewing and interpreting it. This concept was developed as a response to the fact that the code base of many open-source projects can be so massive and its organization so complex that individual users often find the task of interpreting the underlying code too daunting when they are interested in a small portion of the overall code base, e.g. if the user would like to know how a particular tool or algorithm operates. Furthermore, when the software's source code is written in an unfamiliar programming language, the task of interpreting the code is made even more difficult. For some open-source projects, these characteristics can create a divide between the development and user communities, often restricting future development to a few individuals that have been involved in the project during the earliest periods of development. The View Code button that is present on all Whitebox GAT tools is the embodiment of this software-transparency philosophy by pointing the user to the specific region of the source-code that is relevant to a particular tool, also allowing for code conversion to other programming languages. The Whitebox GAT logo is also representative of the open and transparent characteristic of the software, being a transparent glass cube, open on one face.
- Câmara, G. and Onsrud, H. (2004) "Open Source GIS Software: Myths and Realities" in "Open Access and the Public Domain in Digital Data and Information for Science: Proceedings of an International Symposium" Retrieved on 2010-03-03.