Applied Spatial Statistics And Econometrics: Data Analysis In R (Routledge Advanced Texts In Economics And Finance)

Applied Spatial Statistics And Econometrics: Data Analysis In R (Routledge Advanced Texts In Economics And Finance)

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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.

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Frequently Asked Questions

  • Q: What is the main focus of 'Applied Spatial Statistics and Econometrics'? A: The textbook focuses on applied spatial data analysis using R, covering various methods and interpretations of results in spatial statistics and econometrics.
  • Q: Who is the author of the book? A: The book is authored by Katarzyna Kopczewska.
  • Q: What topics are covered in this textbook? A: Key topics include unsupervised learning, causal inference, spatial weight matrices, spatial econometrics, heterogeneity, and bootstrapping.
  • Q: Is this book suitable for beginners? A: No, this textbook is designed for advanced students and researchers in econometrics, spatial planning, and regional science.
  • Q: How many pages does the book have? A: The book contains 594 pages.
  • Q: What type of binding does this textbook have? A: The textbook is available in hardcover binding.
  • Q: When was 'Applied Spatial Statistics and Econometrics' published? A: The book was published on November 26, 2020.
  • Q: Is there any supplemental material available for this book? A: Yes, the book is accompanied by data and R code available on GitHub for practical exercises and replication.
  • Q: What is the edition of this textbook? A: This is the first edition of the textbook.
  • Q: What is the condition of the book? A: The book is brand new.