Applied spatial statistics and econometrics : data analysis in R / Katarzyna Kopczewska
Material type: TextSeries: Routledge advanced texts in economics and financePublication details: London Routledge 2021Description: 593 pISBN:- 9781003033219
- 519.535 KOP-K
- HA30.6
Item type | Current library | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode | Item holds |
---|---|---|---|---|---|---|---|---|---|
Books | BITS Pilani Hyderabad | 510 | General Stack (For lending) | 519.535 KOP-K (Browse shelf(Opens below)) | GBP 52.99. | Available | 48535 |
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 showcase 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
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