Applied spatial statistics and econometrics : data analysis in R
"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, cau...
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| Other Authors | |
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| Format | Electronic eBook |
| Language | English |
| Published |
Milton Park, Abingdon, Oxon ; New York, NY :
Routledge,
[2020]
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| Series | Routledge advanced texts in economics and finance
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| Subjects | |
| Online Access | Full text |
| ISBN | 9781003033219 9781000079784 9781000079760 9781000079746 9780367470777 9780367470760 |
| Physical Description | 1 online zdroj. |
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| Summary: | "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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| ISBN: | 9781003033219 9781000079784 9781000079760 9781000079746 9780367470777 9780367470760 |
| Access: | Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty |
| Physical Description: | 1 online zdroj. |