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 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 ... Read More

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. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $39.60 (Expires Oct 24, 2024) 365 Day Rental: $46.80 (Expires Apr 27, 2025) Buy eBook Lifetime Access: $71.99 Title: Applied Spatial Statistics and Econometrics by Katarzyna Kopczewska Publisher: Taylor & Francis Print ISBN: 9780367470777, 0367470772 eText ISBN: 9781000079784 Edition: 2020 1st edition Format: EPUB eBook	$39.60 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ