spData - Datasets for Spatial Analysis
Diverse spatial datasets for demonstrating, benchmarking and teaching spatial data analysis. It includes R data of class sf (defined by the package 'sf'), Spatial ('sp'), and nb ('spdep'). Unlike other spatial data packages such as 'rnaturalearth' and 'maps', it also contains data stored in a range of file formats including GeoJSON and GeoPackage, but from version 2.3.4, no longer ESRI Shapefile - use GeoPackage instead. Some of the datasets are designed to illustrate specific analysis techniques. cycle_hire() and cycle_hire_osm(), for example, is designed to illustrate point pattern analysis techniques.
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datasetsrastersfspspatialspdep
12.79 score 85 stars 146 dependents 3.7k scripts 59k downloads
rcartocolor - 'CARTOColors' Palettes
Provides color schemes for maps and other graphics designed by 'CARTO' as described at <https://carto.com/carto-colors/>. It includes four types of palettes: aggregation, diverging, qualitative, and quantitative.
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color-paletteggplot2visualization
8.98 score 119 stars 2 dependents 1.7k scripts 8.1k downloads
NLMR - Simulating Neutral Landscape Models
Provides neutral landscape models (<doi:10.1007/BF02275262>, <https://sci-hub.in/10.1007/bf02275262>). Neutral landscape models range from "hard" neutral models (completely random distributed), to "soft" neutral models (definable spatial characteristics) and generate landscape patterns that are independent of ecological processes. Thus, these patterns can be used as null models in landscape ecology. 'NLMR' combines a large number of algorithms from other published software for simulating neutral landscapes. The simulation results are obtained in a spatial data format (raster* objects from the 'raster' package) and can, therefore, be used in any sort of raster data operation that is performed with standard observation data.
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landscape-ecologyneutral-landscape-modelpeer-reviewedspatialcpp
7.53 score 68 stars 228 scripts 5 downloads
motif - Local Pattern Analysis
Describes spatial patterns of categorical raster data for any defined regular and irregular areas. Patterns are described quantitatively using built-in signatures based on co-occurrence matrices but also allows for any user-defined functions. It enables spatial analysis such as search, change detection, and clustering to be performed on spatial patterns (Nowosad (2021) <doi:10.1007/s10980-020-01135-0>).
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categorical-rasterglobal-ecologylandscape-ecologyspatialcpp
7.30 score 66 stars 60 scripts 251 downloads
sabre - Spatial Association Between Regionalizations
Calculates a degree of spatial association between regionalizations or categorical maps using the information-theoretical V-measure (Nowosad and Stepinski (2018) <doi:10.1080/13658816.2018.1511794>). It also offers an R implementation of the MapCurve method (Hargrove et al. (2006) <doi:10.1007/s10109-006-0025-x>).
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entropypolygonsregionalizationsspatialspatial-analysis
7.09 score 37 stars 33 scripts 282 downloads
supercells - Superpixels of Spatial Data
Creates superpixels based on input spatial data. This package works on spatial data with one variable (e.g., continuous raster), many variables (e.g., RGB rasters), and spatial patterns (e.g., areas in categorical rasters). It is based on the SLIC algorithm (Achanta et al. (2012) <doi:10.1109/TPAMI.2012.120>), and readapts it to work with arbitrary dissimilarity measures.
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rspatialspatialcpp
6.94 score 74 stars 97 scripts 495 downloadscomat - Creates Co-Occurrence Matrices of Spatial Data
Builds co-occurrence matrices based on spatial raster data. It includes creation of weighted co-occurrence matrices (wecoma) and integrated co-occurrence matrices (incoma; Vadivel et al. (2007) <doi:10.1016/j.patrec.2007.01.004>).
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co-occurrencerasterspatialcpp
6.91 score 6 stars 3 dependents 25 scripts 657 downloadsspDataLarge - Large datasets for spatial analysis
Large datasets for spatial analysis. The data from this package could be retrived using the spData package.
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rastersfspatialspatial-data
6.23 score 31 stars 1 dependents 1.2k scriptsgeocompkg - Geocomputation with R Metapackage
Package supporting the book Geocomputation with R (\url{https://r.geocompx.org}). The packages in the Imports are required to build the first chapter of the book. The packages in Suggests are required for Part II and III.
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geocomputationspatial
5.82 score 22 stars 2 scriptsbelg - Boltzmann Entropy of a Landscape Gradient
Calculates the Boltzmann entropy of a landscape gradient. This package uses the analytical method created by Gao, P., Zhang, H. and Li, Z., 2018 (<doi:10.1111/tgis.12315>) and by Gao, P. and Li, Z., 2019 (<doi:10.1007/s10980-019-00854-3>). It also extend the original ideas by allowing calculations on data with missing values.
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entropylandscaperasterspatialcpp
5.76 score 19 stars 1 dependents 10 scripts 318 downloadsraceland - Pattern-Based Zoneless Method for Analysis and Visualization of Racial Topography
Implements a computational framework for a pattern-based, zoneless analysis, and visualization of (ethno)racial topography (Dmowska, Stepinski, and Nowosad (2020) <doi:10.1016/j.apgeog.2020.102239>). It is a reimagined approach for analyzing residential segregation and racial diversity based on the concept of 'landscape’ used in the domain of landscape ecology.
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information-theorylandscaperacial-diversityrasterresidential-segregationspatialcpp
5.51 score 9 stars 12 scripts 263 downloadspollen - Analysis of Aerobiological Data
Supports analysis of aerobiological data. Available features include determination of pollen season limits, replacement of outliers (Kasprzyk and Walanus (2014) <doi:10.1007/s10453-014-9332-8>), calculation of growing degree days (Baskerville and Emin (1969) <doi:10.2307/1933912>), and determination of the base temperature for growing degree days (Yang et al. (1995) <doi:10.1016/0168-1923(94)02185-M).
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aerobiological-dataaerobiologygddgrowing-degree-dayspollen
5.17 score 3 stars 49 scripts 193 downloadsrgeopat2 - Additional Functions for 'GeoPAT' 2
Supports analysis of spatial data processed with the 'GeoPAT' 2 software <https://github.com/Nowosad/geopat2>. Available features include creation of a grid based on the 'GeoPAT' 2 grid header file and reading a 'GeoPAT' 2 text outputs.
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geopat
3.81 score 10 stars 13 scripts 201 downloadsregional - Intra- and Inter-Regional Similarity
Calculates intra-regional and inter-regional similarities based on user-provided spatial vector objects (regions) and spatial raster objects (cells with values). Implemented metrics include inhomogeneity, isolation (Haralick and Shapiro (1985) <doi:10.1016/S0734-189X(85)90153-7>, Jasiewicz et al. (2018) <doi:10.1016/j.cageo.2018.06.003>), and distinction (Nowosad (2021) <doi:10.1080/13658816.2021.1893324>).
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rspatial
3.81 score 13 stars 9 scripts 183 downloadsgeostatbook - Geostatystyka w R
Materialy do skryptu Geostatystyka w R.
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2.88 score 6 stars 25 scripts