1st Edition
Crime Mapping and Spatial Data Analysis using R
1. Producing your First Crime Map 2. Basic Geospatial Operations in R 3. Mapping Rates and Counts 4. Variations of Thematic Mapping 5. Basics of Cartographic Design: Elements of a Map 6. Time Matters 7. Spatial Point Patterns of Crime Events 8. Crime Along Spatial Networks 9. Spatial Dependence and Autocorrelation 10. Detecting Hot Spots and Repeats 11. Spatial Regression Models 12. Spatial Heterogeneity and Regression 13. Appendix: A Quick Intro to R and RStudio 14. Appendix B: Regression Analysis (A Refresher) 15. Appendix C: Sourcing Geographical Data for Crime Analysis
Biography
This book is based on teaching materials developed by the authors. Professor Juanjo Medina is Senior Distinguished Researcher at the Department of Criminal Law and Crime Sciences at the University of Seville. Previously he was Professor of Quantitative Criminology at the University of Manchester where he taught data analysis and crime mapping for 20 years. Dr Reka Solymosi is a Senior Lecturer in Quantitative Methods at the University of Manchester where she has been teaching data analysis and crime mapping since 2016.
"I think overall the book is pitched perfectly and the step by step approach with code will act as an excellent training resources as well as reference guide.”
-Ruth Weir, City, University of London"Overall, this is a great book! It is written in an accessible style, is up to date and covers the foundational material one would want a student to understand. As an experienced R user, I was delighted to learn something. Staying abreast of the fast-developing packages is nearly a full-time job, so I see this book as highly useful to many readers. The authors do a great job illustrating the main concepts of import but also pointing readers to places to follow up for more detailed treatments.”
-Michael Townsley, Professor of Criminology and Criminal Justice, Griffith University
