Applied spatial statistics and econometrics data analysis in R / Katarzyna Kopczewska, [editor].
| Other author | Kopczewska, Katarzyna. |
| Format | Electronic |
| Publication Info | Milton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020] |
| Description | pages cm. |
| Supplemental Content | Full text available from Taylor & Francis eBooks |
| Supplemental Content | Full text available from Ebook Central - Academic Complete |
| Subjects |
| Series | Routledge advanced texts in economics and finance |
| Abstract | "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"-- Provided by publisher. |
| Bibliography note | Includes bibliographical references and index. |
| Access restriction | Available only to authorized users. |
| Technical details | Mode of access: World Wide Web |
| Genre/form | Electronic books. |
| LCCN | 2020006869 |
| ISBN | 9780367470777 (hardback) |
| ISBN | 9780367470760 (paperback) |
| ISBN | (ebook) |
Availability
| Library | Location | Call Number | Status | Item Actions |
|---|---|---|---|---|
| Electronic Resources | ✔ Available |