Luc Anselin Bücher

Focusing on spatial clustering, this second volume delves into the organization of spatial data into meaningful groups, advancing beyond mere exploration. It highlights the significance of clustering as a crucial component of contemporary machine learning, making it essential for those interested in the evolving field of spatial data science.

Focusing on exploratory spatial data analysis, this first volume provides an accessible overview of the methodologies used in the field of spatial data science. It serves as an introduction to key concepts and techniques, setting the stage for further exploration in the second volume of the series.