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.

Last updated 1 months ago

datasetsrastersfspspatialspdep

13.19 score 77 stars 118 dependents 3.4k scripts 31k 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.

Last updated 4 months ago

color-paletteggplot2visualization

8.46 score 111 stars 1 dependents 1.4k scripts 2.1k 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>).

Last updated 6 months ago

categorical-rasterglobal-ecologylandscape-ecologyspatialcpp

7.48 score 63 stars 48 scripts 227 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>).

Last updated 2 months ago

entropypolygonsregionalizationsspatialspatial-analysis

6.95 score 36 stars 25 scripts 270 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.

Last updated 6 months ago

rspatialspatialcpp

6.58 score 68 stars 53 scripts 403 downloads

comat - 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>).

Last updated 1 years ago

co-occurrencerasterspatialcpp

6.31 score 6 stars 3 dependents 25 scripts 339 downloads

spDataLarge - Large datasets for spatial analysis

Large datasets for spatial analysis. The data from this package could be retrived using the spData package.

Last updated 4 months ago

rastersfspatialspatial-data

6.15 score 27 stars 1 dependents 1.2k scripts

geocompkg - 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.

Last updated 5 months ago

geocomputationspatial

6.10 score 21 stars 2 scripts

belg - 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.

Last updated 2 years ago

entropylandscaperasterspatialcpp

5.80 score 19 stars 1 dependents 11 scripts 455 downloads

raceland - 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.

Last updated 2 years ago

information-theorylandscaperacial-diversityrasterresidential-segregationspatialcpp

5.21 score 9 stars 12 scripts 268 downloads

pollen - 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).

Last updated 2 years ago

aerobiological-dataaerobiologygddgrowing-degree-dayspollen

4.86 score 3 stars 24 scripts 261 downloads

bespatial - Boltzmann Entropy for Spatial Data

Calculates several entropy metrics for spatial data inspired by Boltzmann's entropy formula. It includes metrics introduced by Cushman for landscape mosaics (Cushman (2015) <doi:10.1007/s10980-015-0305-2>), and landscape gradients and point patterns (Cushman (2021) <doi:10.3390/e23121616>); by Zhao and Zhang for landscape mosaics (Zhao and Zhang (2019) <doi:10.1007/s10980-019-00876-x>); and by Gao et al. for landscape gradients (Gao et al. (2018) <doi:10.1111/tgis.12315>; Gao and Li (2019) <doi:10.1007/s10980-019-00854-3>).

Last updated 5 months ago

cpp

4.08 score 5 stars 16 scripts 639 downloads

regional - 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>).

Last updated 10 months ago

rspatial

4.08 score 12 stars 9 scripts 204 downloads

rgeopat2 - 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.

Last updated 1 years ago

geopat

3.81 score 10 stars 13 scripts 185 downloads

geostatbook - Geostatystyka w R

Materialy do skryptu Geostatystyka w R.

Last updated 3 years ago

2.88 score 6 stars 25 scripts