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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.
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/>.
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)
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 This package has been superseded by the "terra" package 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>.
'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.
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)
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/>.
Ising Model for Spatial Data
Performs simulations of binary spatial raster data using
the Ising model (Ising (1925)
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.
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)