Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 61 packages in 0.04 seconds

tmap — by Martijn Tennekes, a year ago

Thematic Maps

Thematic maps are geographical maps in which spatial data distributions are visualized. This package offers a flexible, layer-based, and easy to use approach to create thematic maps, such as choropleths and bubble maps.

MetBrewer — by Blake Robert Mills, 3 years ago

Color Palettes Inspired by Works at the Metropolitan Museum of Art

Palettes Inspired by Works at the Metropolitan Museum of Art in New York. Currently contains over 50 color schemes and checks for colorblind-friendliness of palettes. Colorblind accessibility checked using the '{colorblindcheck} package by Jakub Nowosad'< https://jakubnowosad.com/colorblindcheck/>.

comat — by Jakub Nowosad, a year ago

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) ).

raster — by Robert J. Hijmans, 2 months ago

Geographic Data Analysis and Modeling

Reading, writing, manipulating, analyzing and modeling of spatial data. This package has been superseded by the "terra" package < https://CRAN.R-project.org/package=terra>.

rcartocolor — by Jakub Nowosad, 2 years ago

'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.

supercells — by Jakub Nowosad, 10 months ago

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) ), and readapts it to work with arbitrary dissimilarity measures.

elevatr — by Jeffrey Hollister, a year ago

Access Elevation Data from Various APIs

Several web services are available that provide access to elevation data. This package provides access to many of those services and returns elevation data either as an 'sf' simple features object from point elevation services or as a 'raster' object from raster elevation services. In future versions, 'elevatr' will drop support for 'raster' and will instead return 'terra' objects. Currently, the package supports access to the Amazon Web Services Terrain Tiles < https://registry.opendata.aws/terrain-tiles/>, the Open Topography Global Datasets API < https://opentopography.org/developers/>, and the USGS Elevation Point Query Service < https://apps.nationalmap.gov/epqs/>.

spatialising — by Jakub Nowosad, a year ago

Ising Model for Spatial Data

Performs simulations of binary spatial raster data using the Ising model (Ising (1925) ; Onsager (1944) ). It allows to set a few parameters that represent internal and external pressures, and the number of simulations (Stepinski and Nowosad (2023) ).

rgeopat2 — by Jakub Nowosad, a year ago

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.

motif — by Jakub Nowosad, a year ago

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) ).