Applied Spatial Statistics and Econometrics

Data Analysis in R
2. Auflage 2026
ISBN: 978-1-041-00266-6
Verlag: Taylor & Francis Ltd

Buch, Englisch, 662 Seiten, Format (B × H): 210 mm x 280 mm

Reihe: Routledge Advanced Texts in Economics and Finance

Now in its second edition, Applied Spatial Statistics and Econometrics offers a modern and accessible introduction to spatial data analysis using R. Emphasising reproducibility, real-world datasets, and practical workflows, this comprehensive guide introduces spatial thinking from a critical analytical perspective, highlighting the importance of location, distance, and neighbourhood effects in shaping social and economic phenomena.

Readers are guided through foundational concepts, including spatial data structures (areal, point, and grid data), visualisation techniques, and spatial econometric models such as spatial lag, spatial error, and spatial Durbin specifications. Updates reflect the substantial evolution of spatial models and R packages, such as the transition to sf and terra, enhancements to spatstat, new tools for spatial sampling and bootstrap, and fully reproducible analyses with complete R code. Topics include geographically weighted regression, spatial point pattern analysis, DEGURBA classification and spatial principal component analysis.

Accompanied by datasets and complete R code on GitHub and RPubs, the book enables readers to replicate analyses and adapt methods to their own research. It is an essential resource for advanced students of econometrics, spatial planning, and regional science, as well as researchers and data scientists seeking to harness the power of spatial analysis for evidence-based insights and policy recommendations.

Zielgruppe

Postgraduate and Undergraduate Advanced

Autoren/Hrsg.

Kopczewska, Katarzyna

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Mathematische & Statistische Software
• Interdisziplinäres Wissenschaften Wissenschaften Interdisziplinär Regionalwissenschaften, Regionalstudien
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Makroökonomie
• Geowissenschaften Geologie GIS, Geoinformatik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Wirtschaftswissenschaften Volkswirtschaftslehre Volkswirtschaftslehre Allgemein Ökonometrie
• Geowissenschaften Geographie | Raumplanung Humangeographie
• Sozialwissenschaften Soziologie | Soziale Arbeit Spezielle Soziologie Stadt- und Regionalsoziologie

Inhaltsverzeichnis

Introduction: Reading the data and datasets description (Katarzyna Kopczewska) 1. Basic operations in the R software (Mateusz Kopyt) 2. Spatial data and classes in R (Maria Kubara and Piotr Wójcik) 3. Spatial visualisations (Katarzyna Kopczewska) 4. Spatial Data with the Web APIs (Mateusz Kopyt) 5. Spatial data processing: grids, rasters, distance measurement, tessellation, buffers and DEGURBA (Katarzyna Kopczewska and Monika Kot) 6. Spatial weights matrix and spatial statistics (Katarzyna Kopczewska and Maria Kubara) 7. Applied spatial econometrics (Katarzyna Kopczewska and Monika Kot) 8. Geographically Weighted Regression - modelling spatial heterogeneity (Kateryna Zabarina, Katarzyna Kopczewska, Monika Kot and Piotr Cwiakowski) 9. Spatial point pattern analysis (Kateryna Zabarina) 10. Spatial sampling and bootstrapping (Katarzyna Kopczewska). Appendix: Spatial data in R packages.

Über Autor(innen)

Katarzyna Kopczewska is Professor of Economics at the Faculty of Economic Sciences, University of Warsaw, and Head of the Spatial Warsaw research group. She specializes in methodology of spatial analytics for geo-localized socio-economic processes.