Recent Posts

Evaluation of the new palette() for R

R version 4.0 is just around the corner. One of the changes in the new version is the improved default color palette using the palette() function. Proposed colors The new proposed palette() default is less saturated and more balanced, while at the …

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Information theory provides a consistent framework for the analysis of spatial patterns

Quantitative assessment of spatial patterns has been a keen interest of generations of spatial scientists and practitioners using spatial data. This post describes Information Theory-based metrics allowing for numerical description of spatial …

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World population growth through time

A few months ago I have made an attempt to visualize the world population changes from 1800 to 2100: Inspired by @MaxCRoser and @jkottke, I've tried to visualize the world population changes from 1800 to 2100. My new blog post at …

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Recent Publications

  • 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
  • Nowosad, J., Stepinski, T. F. (2019). Stochastic, empirically‐informed model of landscape dynamics and its application to deforestation scenarios. Geophysical Research Letters, DOI: 10.1029/2019GL085952
    Abstract Online Preprint DOI
  • Johansen R., Reif M., Emery E., Nowosad J., Beck R., Xu M., Liu H., waterquality: An Open-Source R Package for the Detection and Quantification of Cyanobacterial Harmful Algal Blooms and Water Quality. USACE ERDC/EL TR-19-20; DOI: 10.21079/11681/35053
    Abstract Online DOI
  • Hasselbarth M., Sciaini M., With K., Wiegand K., Nowosad J. (2019). landscapemetrics: an open‐source R tool to calculate landscape metrics. Ecography. https://doi.org/10.1111/ecog.04617
    Abstract PDF Online DOI
  • Nowosad, J., Stepinski, T. F. (2019). Information Theory as a consistent framework for quantification and classification of landscape patterns. Landscape Ecology. https://doi.org/10.1007/s10980-019-00830-x
    Abstract PDF Online Preprint DOI