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A01=Katarzyna Kopczewska
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Applied Spatial Statistics and Econometrics: Data Analysis in R

English

By (author): Katarzyna Kopczewska

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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Original price €67.99
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A01=Katarzyna KopczewskaAge Group_UncategorizedAuthor_Katarzyna Kopczewskaautomatic-updateCategory1=Non-FictionCategory=KCHCategory=KCHSCategory=RGCCategory=RPCOP=United KingdomDelivery_Pre-orderLanguage_EnglishPA=Temporarily unavailablePrice_€50 to €100PS=Activesoftlaunch

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Product Details
  • Weight: 2000g
  • Dimensions: 210 x 280mm
  • Publication Date: 26 Nov 2020
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: United Kingdom
  • Language: English
  • ISBN13: 9780367470760

About Katarzyna Kopczewska

Katarzyna Kopczewska is an associate professor at University of Warsaw Faculty of Economic Sciences. As a quantitative economist she deals with spatial modelling of geolocalised economic processes location and co-location agglomeration concentration diffusion spatial interactions in relation to economic phenomena companies and real estate but also regional policy or public-sector activities. She conducts methodological research on the implementation of data science methods for spatial analysis and combining them with classical spatial statistics and econometrics in R. She combines quantitative solutions with theory and problems of regional science and economic geography. She serves at the European Regional Science Association (ERSA).

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