whitebox - 'WhiteboxTools' R Frontend
An R frontend for the 'WhiteboxTools' library, which is an advanced geospatial data analysis platform developed by Prof. John Lindsay at the University of Guelph's Geomorphometry and Hydrogeomatics Research Group. 'WhiteboxTools' can be used to perform common geographical information systems (GIS) analysis operations, such as cost-distance analysis, distance buffering, and raster reclassification. Remote sensing and image processing tasks include image enhancement (e.g. panchromatic sharpening, contrast adjustments), image mosaicing, numerous filtering operations, simple classification (k-means), and common image transformations. 'WhiteboxTools' also contains advanced tooling for spatial hydrological analysis (e.g. flow-accumulation, watershed delineation, stream network analysis, sink removal), terrain analysis (e.g. common terrain indices such as slope, curvatures, wetness index, hillshading; hypsometric analysis; multi-scale topographic position analysis), and LiDAR data processing. Suggested citation: Lindsay (2016) <doi:10.1016/j.cageo.2016.07.003>.
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geomorphometrygeoprocessinggeospatialgishydrologyremote-sensingrstudio
10.00 score 189 stars 3 dependents 436 scripts 1.8k downloadsgeolibre - Interactive GIS with 'GeoLibre'
Embeds the full 'GeoLibre' geographic information system in 'R Markdown', 'Quarto', 'Shiny', and the 'RStudio' Viewer. Create maps from 'GeoJSON' and 'sf' objects, markers, heatmaps, and tabular coordinates; add 'Cloud Optimized GeoTIFF', 'XYZ', 'WMS', 'WMTS', 'WFS', 'PMTiles', vector tile, '3D Tiles', and video sources; classify choropleths, arrange layers, and add legends, colorbars, and split-map comparisons. Control the camera, export standalone 'HTML', and read and write '.geolibre.json' project files. The underlying application is described in Wu (2026) <doi:10.5281/zenodo.20785400>.
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geolibregeospatiagismaplibremaplibre-gl-jsmapping
4.62 score 28 stars 8 scripts 430 downloads