Modelling Spatial Density: Data, Methods, and R Applications in Statistics, Econometrics, and Machine Learning

Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques in spatial density modelling, made accessible through intuitive explanations, open data, and reproducible R code.

Katarzyna Kopczewska, Professor of Economics, Faculty of Economic Sciences, University of Warsaw

Katarzyna Kopczewska is Associate Professor at the University of Warsaw, Poland, Faculty of Economic Sciences. She is a quantitative economist focusing on regional socio-economic development in a spatial context. Her research includes spatial modelling of geo-localised economic processes. She conducts methodological research on the implementation of machine learning methods to spatial analysis and combining them with classical spatial statistics and econometrics. She is a member of the European board (EOC) of the European Regional Science Association, Councillor-At-Large of the Regional Science Association International, and Editor of Spatial Economic Analysis and Networks and Spatial Economics.