Jakub Nowosad's repositories
OGH_summer_school_2022
Links and slides from the OpenGeoHub summer school 2022
spain-map-layout
Alternative layout for maps of Spain - code and data
geostatbook
Pakiet zawierający dane do skryptu "Geostatystyka w R"
belg-examples
Code examples from Nowosad, J.; Gao, P. belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients. Entropy 2020, 22, 937. https://doi.org/10.3390/e22090937
cc-licenses
Creative Commons Licenses for Github
crsuggest
Get appropriate CRS suggestions for your spatial data in R
geocompr
Open source book: Geocomputation with R
GLCMTextures
This R package calculates the most common gray-level co-occurrence matrix (GLCM) texture metrics used for spatial analysis (Hall-Beyer 2017). It is meant to provide a clearly documented implementation of GLCM texture metrics that gives the user control over key parameters to make it clear to the user exactly what they are calculating. It interfaces with C++ via the Rcpp and RcppArmadillo packages for increased speed.
sfdep
A tidy interface for spatial dependence
stars
Spatiotemporal Arrays, Raster and Vector Data Cubes
thundeR
thundeR - Rapid computation and visualisation of convective parameters from rawinsonde and NWP data
Virtual_species_SDM
How to create Virtual Species (code related to: Rocchini et al. (2022). A quixotic view of spatial bias in modelling the distribution of species and their diversity.