Applied Spatial Statistics and Econometrics: Data Analysis in R (Routledge Advanced Texts in Economics and Finance)

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Synopsis
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.
Copyright:
2021

Book Details

Book Quality:
Publisher Quality
Book Size:
594 Pages
ISBN-13:
9781000079784
Related ISBNs:
9781003033219, 9780367470760, 9780367470777
Publisher:
Taylor and Francis
Date of Addition:
Copyrighted By:
Katarzyna Kopczewska, The right of Katarzyna Kopczewska to be identified as author of this work has been asserted by her in accordance with sections
Adult content:
No
Language:
English
Has Image Descriptions:
No
Categories:
Nonfiction, Computers and Internet, Business and Finance, Technology, Social Studies, Mathematics and Statistics
Submitted By:
Bookshare Staff
Usage Restrictions:
This is a copyrighted book.

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