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, ESRI Shapefile and GeoPackage. 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 14 days ago

datasetsrastersfspspatialspdep

62 stars 6.88 score 2 dependencies 105 dependents

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 24 days ago

color-paletteggplot2visualization

108 stars 4.38 score 28 dependencies 1 dependents

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 24 days ago

categorical-rasterglobal-ecologylandscape-ecologyspatial

63 stars 4.22 score 29 dependencies

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 17 days ago

rspatialspatial

65 stars 3.71 score 24 dependencies

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 years ago

entropypolygonsregionalizationsspatialspatial-analysis

36 stars 3.54 score 38 dependencies

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 12 months ago

rastersfspatialspatial-data

25 stars 2.46 score 0 dependencies 2 dependents

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 2 months ago

geocomputationspatial

21 stars 2.27 score 33 dependencies

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 2 months ago

geocomputationspatial

21 stars 2.27 score 33 dependencies

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

entropylandscaperasterspatial

18 stars 2.20 score 2 dependencies 1 dependents

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 10 months ago

co-occurrencerasterspatial

6 stars 1.82 score 2 dependencies 3 dependents

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 4 months ago

rspatial

12 stars 1.76 score 5 dependencies

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 12 months ago

geopat

10 stars 1.53 score 39 dependencies

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 1 years ago

information-theorylandscaperacial-diversityrasterresidential-segregationspatial

9 stars 1.41 score 17 dependencies

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 3 days ago

5 stars 1.37 score 34 dependencies

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

3 stars 0.94 score 20 dependencies

geostatbook - Geostatystyka w R

Materialy do skryptu Geostatystyka w R.

Last updated 3 years ago

6 stars 0.71 score 132 dependencies