Jakub Nowosad is a computational geographer and Associate Professor at Adam Mickiewicz University, also serving as a Visiting Scientist at the University of Münster. He develops open-source tools and spatial methods for reproducible, scalable environmental and ecological analysis, and co-authors Geocomputation with R and Geocomputation with Python.
43 articles from this blog
An introduction to pattern-based spatial analysis in R using the 'motif' package for analyzing categorical raster data like land cover maps.
A guide on selecting colorblind-friendly bivariate color palettes for data visualization, with examples in R.
A technical guide on using the R 'raceland' package to analyze and visualize racial diversity and segregation using spatial data and information theory metrics.
Analysis of R 4.0's new default color palette, testing its accessibility for color vision deficiencies using the colorblindcheck package.
Explains how information theory and R code can quantify and classify spatial patterns, with examples from landscape ecology.
A technical tutorial on creating animated cartograms in R to visualize global population growth and distribution from 1800 to 2100.
A technical guide on calculating landscape metrics in R using spatial data and buffers around sampling points for ecological analysis.
A technical tutorial on using GeoPAT2 and R to calculate Shannon entropy for land cover patterns in local landscapes.
Announcing the completion of the open-source book 'Geocomputation with R', detailing its collaborative creation, purpose, and availability.
A tutorial on using R to reproduce and analyze map projection distortions, focusing on the Web Mercator projection with reproducible code.
A tutorial on creating an animated world population cartogram from 1800 to 2100 using R, open data, and open-source geospatial libraries.
Introduces the 'sabre' R package for quantitatively comparing two categorical maps or regionalizations to measure spatial similarity.
Final post in the GeoPAT 2 series, exploring advanced pattern-based spatial analysis methods and integration into custom workflows.
Explains pattern-based regionalization using GeoPAT 2 software to segment landscapes into homogeneous regions based on spatial patterns.
Explains how to use GeoPAT 2 software to measure changes in landscape patterns over time using spatial analysis techniques.
A technical tutorial on using GeoPAT 2 software to find geographically similar landscapes through pattern-based spatial analysis.
Explains the core concepts of pattern-based spatial analysis in GeoPAT 2, including motifels, signatures, and similarity metrics.
A tutorial on using R packages to download, process, and visualize global life expectancy data from the World Bank API.
Introduces GeoPAT 2, an open-source software for pattern-based spatial and temporal analysis of categorical maps like land cover.
A technical tutorial on creating US maps with R, including Alaska and Hawaii as properly scaled insets using the sf and tmap packages.
