Description
Product ID: | 9780367470760 |
Product Form: | Paperback / softback |
Country of Manufacture: | GB |
Series: | Routledge Advanced Texts in Economics and Finance |
Title: | Applied Spatial Statistics and Econometrics |
Subtitle: | Data Analysis in R |
Authors: | Author: Katarzyna Kopczewska |
Page Count: | 594 |
Subjects: | Econometrics and economic statistics, Econometrics, Econometrics and economic statistics, Human geography, Regional and area planning, Economic statistics, Human geography, Regional & area planning |
Description: | Select Guide Rating 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. 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. |
Imprint Name: | Routledge |
Publisher Name: | Taylor & Francis Ltd |
Country of Publication: | GB |
Publishing Date: | 2020-11-26 |