Data Analysis in R Kopczewska, Katarzyna editor. text bibliography enk 2020 monographic eng

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pages cm. "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 showcase 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"-- Katarzyna Kopczewska, [editor]. Includes bibliographical references and index. Spatial analysis (Statistics) Econometrics R (Computer program language) HA30.6 .A68 2020 519.5/35 Milton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020] (DLC) 2020006870 9780367470777 9780367470760 2020006869 DLC 200211 20240418153835.0 21427482 eng