Applied Spatial Statistics and Econometrics Data Analysis in R

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 i...

Celý popis

Uloženo v:
Podrobná bibliografie
Hlavní autor: Kopczewska, Katarzyna
Médium: E-kniha Kniha
Jazyk:angličtina
Vydáno: London Routledge 2021
Taylor and Francis
Taylor & Francis Group
Vydání:1
Edice:Routledge Advanced Texts in Economics and Finance
Témata:
ISBN:0367470764, 9780367470777, 0367470772, 9780367470760
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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.
Bibliografie:Includes bibliographical references (p. 561-576) and index
ISBN:0367470764
9780367470777
0367470772
9780367470760
DOI:10.4324/9781003033219