Applied Spatial Statistics and Econometrics: Data Analysis in R (Routledge Advanced Texts in Economics and Finance)
5.0 (131 items)
Limited Time SaleUS$42.37 cheaper than the new price!!
Free cash-on-delivery fees for purchases over $99
Product details
| Management number | 233657850 | Release Date | 2026/06/27 | List Price | US$28.24 | Model Number | 233657850 | ||
|---|---|---|---|---|---|---|---|---|---|
| Category | |||||||||
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. Read more
| ISBN10 | 0367470764 |
|---|---|
| ISBN13 | 978-0367470760 |
| Edition | 1st |
| Language | English |
| Publisher | Routledge |
| Dimensions | 8.5 x 1.25 x 11.25 inches |
| Item Weight | 3.09 pounds |
| Print length | 620 pages |
| Part of series | Routledge Advanced Texts in Economics and Finance |
| Publication date | November 26, 2020 |
Bestseller ranking
Information Systems
Customers who viewed this product also viewed
General
Correction of product information
If you notice any omissions or errors in the product information on this page, please use the correction request form below.
Correction Request Form