| Applied Spatial Statistics and Econometrics: Data Analysis in R Contributor(s): Kopczewska, Katarzyna (Author) |
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ISBN: 0367470772 ISBN-13: 9780367470777 Publisher: Routledge OUR PRICE: $171.00 Product Type: Hardcover - Other Formats Published: November 2020 |
| Additional Information |
| BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis - Business & Economics | Econometrics - Business & Economics | Economics - General |
| Dewey: 519.535 |
| LCCN: 2020006869 |
| Physical Information: 1.4" H x 8.7" W x 11" (4.10 lbs) 594 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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. |