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rspatial
terra:Spatial Data Analysis
Methods for spatial data analysis with vector (points, lines, polygons) and raster (grid) data. Methods for vector data include geometric operations such as intersect and buffer. Raster methods include local, focal, global, zonal and geometric operations. The predict and interpolate methods facilitate the use of regression type (interpolation, machine learning) models for spatial prediction, including with satellite remote sensing data. Processing of very large files is supported. See the manual and tutorials on <https://rspatial.org/> to get started. 'terra' replaces the 'raster' package ('terra' can do more, and it is faster and easier to use).
Maintained by Robert J. Hijmans. Last updated 3 hours ago.
geospatialrasterspatialvectoronetbbprojgdalgeoscpp
560 stars 17.65 score 17k scripts 856 dependentsrspatial
dismo:Species Distribution Modeling
Methods for species distribution modeling, that is, predicting the environmental similarity of any site to that of the locations of known occurrences of a species.
Maintained by Robert J. Hijmans. Last updated 4 months ago.
25 stars 11.88 score 2.8k scripts 21 dependents
adamlilith
fasterRaster:Faster Raster and Spatial Vector Processing Using 'GRASS GIS'
Processing of large-in-memory/large-on disk rasters and spatial vectors using 'GRASS GIS' <https://grass.osgeo.org/>. Most functions in the 'terra' package are recreated. Processing of medium-sized and smaller spatial objects will nearly always be faster using 'terra' or 'sf', but for large-in-memory/large-on-disk objects, 'fasterRaster' may be faster. To use most of the functions, you must have the stand-alone version (not the 'OSGeoW4' installer version) of 'GRASS GIS' 8.0 or higher.
Maintained by Adam B. Smith. Last updated 3 days ago.
aspectdistancefragmentationfragmentation-indicesgisgrassgrass-gisrasterraster-projectionrasterizeslopetopographyvectorization
57 stars 7.68 score 8 scripts
stla
tessellation:Delaunay and Voronoï Tessellations
Delaunay and Voronoï tessellations, with emphasis on the two-dimensional and the three-dimensional cases (the package provides functions to plot the tessellations for these cases). Delaunay tessellations are computed in C with the help of the 'Qhull' library <http://www.qhull.org/>.
Maintained by Stéphane Laurent. Last updated 1 years ago.
cdelaunay-triangulationvoronoi-tessellation
17 stars 5.23 score 67 scripts 1 dependents
cysouw
qlcVisualize:Visualization for Quantitative Language Comparison
Collection of visualizations as used in quantitative language comparison. Currently implemented are visualisations dealing nominal data with multiple levels ("level map" and "factor map"), and assistance for making weighted geographical Voronoi-maps ("weighted map").
Maintained by Michael Cysouw. Last updated 6 months ago.
4.03 score 24 scripts
coolbutuseless
rvoronoi:Fast Voronoi Tessellation and Delaunay Triangulation using Fortune's Algorithm
Fast voronoi tessellation and delaunay triangulation with Fortune's algorithm.
Maintained by Mike Cheng. Last updated 2 months ago.
10 stars 3.48 score 3 scripts
emmanuelparadis
voronoifortune:Voronoi Tessellation by Fortune Algorithm
Fortune's (1987, <doi:10.1007/BF01840357>) algorithm is a very efficient method to perform Voronoi tessellation and Delaunay triangulation. This package is a port of the original code published in the early 1990's by Steven Fortune.
Maintained by Emmanuel Paradis. Last updated 2 months ago.
3.30 score