Recent Posts

How to choose a bivariate color palette?

Bivariate color palettes are products of combining two separate color palettes. They are usually represented by a square with rows (one color palette) and columns (second color palette). You can more about how they are made in the blog post “Bivariate Choropleth Maps: A How-to Guide” by …

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How to measure spatial diversity and segregation?

The raceland package implements a computational framework for a pattern-based, zoneless analysis and visualization of (ethno)racial topography. The main concept in this package is a racial landscape (RL). It consists of many large and small patches (racial enclaves) formed by adjacent raster grid …

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Introduction to landscape ecology with R

Maximilian H.K. Hesselbarth and I gave the Introduction to landscape ecology with R workshop during IALE-North America 2020 Annual Meeting. You can find the workshop abstract, slides, and recordings below. Abstract R is a free, open-source programming language created as an environment for …

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Recent Publications

  • Nowosad, J. Motif: an open-source R tool for pattern-based spatial analysis. Landscape Ecol (2020). https://doi.org/10.1007/s10980-020-01135-0
    Abstract Online Preprint DOI
  • Nowosad J., Gao P. (2020) belg: A Tool for Calculating Boltzmann Entropy of Landscape Gradients. Entropy. 22(9), 937, DOI:10.3390/e22090937
    Abstract Online DOI
  • Nowosad, J., (2020). Elementarz programisty: wstęp do programowania używając R. Wydanie pierwsze. Poznań: Space A. Online: https://nowosad.github.io/elp/ ISBN: 978-83-953296-1-9
    Abstract PDF Online
  • Dmowska, A., Stepinski T., Nowosad J. Racial landscapes – a pattern-based, zoneless method for analysis and visualization of racial topography. Applied Geography. 122:1-9, DOI:10.1016/j.apgeog.2020.102239
    Abstract Online Preprint DOI
  • Czernecki, B., Głogowski, A., Nowosad, J. Climate: An R Package to Access Free In-Situ Meteorological and Hydrological Datasets for Environmental Assessment. Sustainability. 12(1):394, DOI: 10.3390/su12010394
    Abstract Online DOI