Applied Spatial Statistics and Econometrics Data Analysis in R

• Main Author: Kopczewska, Katarzyna
• Format: eBook Book
• Language: English
• Published: London Routledge 2021; Taylor and Francis; Taylor & Francis Group
• Edition: 1
• Series: Routledge Advanced Texts in Economics and Finance
• Subjects: Econometrics; Economic Geography; R (Computer program language); Spatial analysis (Statistics); Spatial and Regional Planning; Spatial PCA; Spatial Lag; FALSE FALSE; NA NA NA; GWR Model; GWR Coefficient; Inverse Distance Matrix; MBB; OLS Estimate; BP Test; SDM Model; Point Pattern; Marked Point Pattern; ESRI Shapefile; NA NA NA NA; Spatial Weights; Spatial Weights Matrix; GWR; Min 1Q Median 3Q Max; FALSE FALSE FALSE FALSE FALSE; NA NA; Spatial Weights Matrices; NA NA NA NA NA; Market Basket Analysis; FALSE FALSE FALSE
• ISBN: 0367470764; 9780367470777; 0367470772; 9780367470760
• DOI: 10.4324/9781003033219

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.