Currently, my research is focused on design and implementation of methods for segmentation and clustering of ecoregions. During my PhD I had worked on predicting pollen concentration of Corylus, Alnus, and Betula using machine learning and GIS. My research interests also include spatial analysis, statistics, and programming.

Articles

2018

  • Towards machine ecoregionalization of Earth's landmass using pattern segmentation method
    Abstract Online Preprint DOI
  • Global inventory of landscape patterns and latent variables of landscape spatial configuration
    Abstract Online Preprint DOI
  • Statistical techniques for modeling of Corylus, Alnus, and Betula pollen concentration in the air
    Abstract Online Preprint DOI
  • Machine learning modeling of plant phenology based on coupling satellite and gridded meteorological dataset
    Abstract Online DOI

2016

  • Forecasting model of Corylus, Alnus, and Betula pollen concentration levels using spatiotemporal correlation properties of pollen count
    Abstract PDF Online DOI
  • Spatiotemporal models for predicting high pollen concentration level of Corylus, Alnus, and Betula
    Abstract PDF Online DOI

2015

  • Temporal and spatiotemporal autocorrelation of daily concentrations of Alnus, Betula, and Corylus pollen in Poland
    Abstract PDF Online DOI

2014

  • Relation between extensive extreme precipitation in Poland and atmospheric circulation
    Abstract PDF Online DOI

Books

2018

2016

  • Geostatistics in R (in Polish)
    Abstract Online
  • Forecasting of Corylus, Alnus, and Betula pollen concentration in the air in Poland (PhD thesis)
    Abstract PDF

Others

2018

2017

  • Worldwide inventory of landscapes through segmentation of global land cover dataset
    Abstract PDF

2015

  • Terrain misclassification problem – analysis using pattern simulation approach
    Abstract PDF