Jakub

rcartocolor. Implementation of the CARTOcolor palettes in R

conferences_2025. A list of geospatial conferences for 2025

conferences_2026. A list of geospatial conferences for 2026

spData. Datasets for spatial analysis

supercells. The goal of supercells is to utilize the concept of superpixels to a variety of spatial data.

rspatial-map-challenge-2020. A list of maps created for #30DayMapChallenge using #rspatial

motif. Pattern-based spatial analysis in R

OGH_summer_school_2022. Links and slides from the OpenGeoHub summer school 2022

OGH_summer_school_2023. Links and slides from the OpenGeoHub summer school 2023

geopat2. GeoPAT 2 - a suite of modules dedicated to analysis of large datasets in their entirety using spatial and/or temporal patterns

mastodon-rspatial. This repository contains Mastodon accounts of #rspatial developers and contributors 👩‍💻 👨‍💻, as well as some of their communities 📣 .

sabre. sabre: Spatial Association Between REgionalizations

geostat18-links. Links and slides from GEOSTAT2018

colorblindcheck. Tools helping to decide if a color palette is colorblind friendly

spDataLarge. R package with large datasets for spatial analysis

gis_with_r_how_to_start. Presentation at the GIS Learning Community, Cincinnati, 2017-11-01.

Intro_to_spatial_analysis. Intro to spatial analysis in R

global_population_and_gdp. Global dataset of gridded population and GDP (1980-2010 estimations and 2020-2100 scenarios)

popgrids. Global dataset of gridded population and GDP (1980-2010 estimations and 2020-2100 scenarios)

IIIRqueR_workshop_materials. R

patternogram. A Visualization of Spatial Autocorrelation

regional. Intra- and Inter-Regional Similarity

SIGR2021. HTML

motif-examples. R

geostat_book. Skrypt "Geostatystyka w R"

spain-map-layout. Alternative layout for maps of Spain - code and data

elp. Wstęp do programowania używając R

geostat18. Presentation "GeoPAT 2: analysis of spatial and temporal patterns" - GeoStats 2018

raceland. Pattern-Based, Zoneless Method for Analysis and Visualization of Racial Topography

ogh2022. Presentation "Geocomputation with R’s guide to reproducible spatial data analysis" - OpenGeoHub summer school 2022

moran-i-spatial-ml-prelim. This repository contains the research code for the AGILE 2025 short paper entitled "Investigating Moran’s I Properties for Spatial Machine Learning: A Preliminary Analysis".

geostatbook. Pakiet zawierający dane do skryptu "Geostatystyka w R"

comat. Create co-occurrence matrices based on spatial data

spatialising. Perform simulations of binary spatial raster data using the Ising model

reedsolomon. Applies the Reed-Solomon algorithm on remote sensing data

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