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

In an era where geo-located point data has become the backbone of socio-economic, environmental, and urban research, understanding spatial density is crucial.Yet the tools for analysing this data have remained scattered and incomplete.Modelling Spatial Density fills a significant gap by providing a comprehensive, practical, and user-friendly guide to modelling spatial density using cutting-edge quantitative methods.Bridging the worlds of spatial statistics, spatial econometrics, and spatial machine learning, Kopczewska introduces a range of established and novel techniques, made accessible through intuitive explanations, open data, and reproducible R code.Lesser and well-known methods are elegantly combined and discussed in non-mathematical language that is accessible to social scientists.The book makes a significant contribution to the synthesis, development, and application of spatial quantitative methods for spatial density in the social and environmental sciences.Writing for resear