Found 56 packages in 0.03 seconds
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 This package has been superseded by the "terra" package 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>.
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/>.
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.
'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.
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)
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)
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)
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)
Analysis of Aerobiological Data
Supports analysis of aerobiological data.
Available features include determination of pollen season limits,
replacement of outliers (Kasprzyk and Walanus (2014)