Applied spatial statistics and econometrics : data analysis in R

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Bibliographic Information

Title
"Applied spatial statistics and econometrics : data analysis in R"
Statement of Responsibility
Katarzyna Kopczewska
Publisher
  • Routledge
Publication Year
  • 2021
Book size
28cm

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Notes

Includes bibliographical references (p. 561-576) and indexx

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"-- Provided by publisher

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