Price: $71.99
(as of Feb 12, 2025 03:02:38 UTC – Details)

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.

Publisher ‏ : ‎ Routledge; 1st edition (November 26, 2020)
Language ‏ : ‎ English
Paperback ‏ : ‎ 620 pages
ISBN-10 ‏ : ‎ 0367470764
ISBN-13 ‏ : ‎ 978-0367470760
Item Weight ‏ : ‎ 3.09 pounds
Dimensions ‏ : ‎ 8.5 x 1.25 x 11.25 inches