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...

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Hlavný autor: Kopczewska, Katarzyna
Médium: E-kniha Kniha
Jazyk:English
Vydavateľské údaje: London Routledge 2021
Taylor and Francis
Taylor & Francis Group
Vydanie:1
Edícia:Routledge Advanced Texts in Economics and Finance
Predmet:
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
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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.
Bibliografia:Includes bibliographical references (p. 561-576) and index
ISBN:0367470764
9780367470777
0367470772
9780367470760
DOI:10.4324/9781003033219