Spatial analysis and geocomputation

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The dissemination of digital spatial databases and the growing use of GISystems are driving increased interest in spatial analysis beyond traditional spatial sciences. Recognizing the spatial dimension in social science research often leads to more meaningful results compared to analyses that overlook it. This volume focuses on spatial analysis through the lens of GeoComputation, a computational-intensive approach that has the potential to transform research practices in this field. It features selected essays by Manfred M. Fischer, consolidating previously scattered papers to offer insights into innovative methods for spatial modeling and analysis. The collection emphasizes the latest advancements in estimation theory, model selection, and testing, developing neural networks as advanced tools for non-parametric and spatial interaction modeling. This work is a collaborative effort, with contributions from multiple authors who are credited for their scientific insights. Additionally, this volume is published alongside another collection on innovation and networks. Special thanks are extended to Gudrun Decker, Thomas Seyffertitz, and Petra Staufer-Steinnocher for their assistance in preparing the book.