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Applied Spatial Statistics and Econometrics: Data Analysis in R-P2P

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.

Applied Spatial Statistics and Econometrics: Data Analysis in R-P2P
English | 2021 | ISBN-13: 978-0367470760 | 621 Pages | True PDF | 364.49 MB
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  1. Matcow
    September 28th, 2020 | 09:03
  2. Perfection
    September 28th, 2020 | 09:12
  3. YTSTYA
    September 28th, 2020 | 10:19
  4. Matbb
    September 28th, 2020 | 20:43

    Applied Spatial Statistics and Econometrics: Data Analysis in R-P2P

    https://katfile.com/9j0bg9iadgli/Applied_Spatial_Statistics_and_Econometrics.pdf.html

  5. tt
    September 29th, 2020 | 07:08

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