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Applied spatial statistics and econometrics : data analysis in R / Katarzyna Kopczewska

By: Contributor(s): Material type: TextTextSeries: Routledge advanced texts in economics and financePublication details: London Routledge 2021Description: 593 pISBN:
  • 9781003033219
Subject(s): Additional physical formats: Print version:: Applied spatial statistics and econometricsDDC classification:
  • 519.535 KOP-K
LOC classification:
  • HA30.6
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Holdings
Item type Current library Collection Shelving location Call number Copy number Status Date due Barcode Item holds
Books Books BITS Pilani Hyderabad 510 General Stack (For lending) 519.535 KOP-K (Browse shelf(Opens below)) GBP 52.99. Available 48535
Total holds: 0

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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