"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"--
TOPICAL NAME USED AS SUBJECT
Entry Element
Spatial analysis (Statistics)
Entry Element
Econometrics.
Entry Element
R (Computer program language)
DEWEY DECIMAL CLASSIFICATION
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
HA
30
.
6
Book number
.
A6
2021
PERSONAL NAME - SECONDARY RESPONSIBILITY
Entry Element
Kopczewska, Katarzyna,
ORIGINATING SOURCE
Agency
University of Tehran. Library of College of Fine Arts