Jakub Nowosad

Dr. Jakub Nowosad is an assistant professor in the Institute of Geoecology and Geoinformation at the Adam Mickiewicz University in Poznan, Poland. His main research is focused on developing and applying data mining and pattern-based spatial methods to large datasets in order to broaden our understanding of processes and patterns in the environment. He has been involved in various interdisciplinary collaboration on topics of automatic global ecoregionalizations, extreme precipitation modeling, terrain classifications, phenology forecasting, and soil properties determination. During his Ph.D., he had worked on predicting pollen concentration of Corylus, Alnus, and Betula using machine learning and GIS. His research interests also include spatial analysis, statistics, and programming. He has an extensive teaching experience in the fields of spatial analysis, geostatistics, statistics, and machine learning. Jakub is an avid R user and an active member of the R community.


Visit my Google Scholar profile to see an up-to-date list of my publications.


Published on  September 27th, 2018


Blog posts series introducing GeoPAT 2 - a software for pattern-based spatial and temporal analysis:

  1. GeoPAT 2: Software for Pattern-Based Spatial and Temporal Analysis
  2. Pattern-based Spatial Analysis - core ideas
  3. Finding similar local landscapes
  4. Quantifying temporal change of landscape pattern
  5. Pattern-based regionalization
  6. Moving beyond pattern-based analysis: Additional applications of GeoPAT 2

new version of a Web-based query-by-example tool for finding places with similar climate is available here.

now more detailed (30 m ) population and racial diversity grids for 1990, 2000, 2010 are available here.

High resolution demographic grids for each county in the conterminous U.S for 1990, 2000, 2010 year are available here.

Racial dot map for each county in the conterminous U.S are available here.