This textbook is a comprehensive introduction to applied spatial data analysis using R. Each chapter walks the reader through a different method, explaining how to interpret the results and what conclusions can be drawn. The author team showcases key topics, including unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity and bootstrapping. It is accompanied by a suite of data and R code on Github to help readers practise techniques via replication and exercises.
This text will be a valuable resource for advanced students of econometrics, spatial planning and regional science. It will also be suitable for researchers and data scientists working with spatial data.
| ISBN: | 9780367470760 |
| Publication date: | 26th November 2020 |
| Author: | Katarzyna Kopczewska |
| Publisher: | Routledge an imprint of Taylor & Francis |
| Format: | Paperback |
| Pagination: | 582 pages |
| Series: | Routledge Advanced Texts in Economics and Finance |
| Genres: |
Econometrics and economic statistics Regional / urban economics Human geography Microeconomics Interdisciplinary studies Regional and area planning Civil engineering, surveying and building Information technology: general topics Computer science |