02155cam a22003618i 4500 21427482 EG-ScBUE 20220303111840.0 200211s2021 enka f b 001 0 eng d 9780367470760 DLC eng rda DLC EG-ScBUE 519.535 22 APP Applied spatial statistics and econometrics : data analysis in R / Katarzyna Kopczewska, [editor]. Milton Park, Abingdon, Oxon ; New York, NY : Routledge, 2021. xxv, 593 pages : illustrations ; 30 cm. text txt rdacontent unmediated n rdamedia volume nc rdacarrier Routledge advanced texts in economics and finance Includes bibliographical references and index. "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. Spatial analysis (Statistics) BUEsh Econometrics. BUEsh R (Computer program language) BUEsh 34038 COMSCI March2022 Reading book 34232 Kopczewska, Katarzyna, editor. Online version: Applied spatial statistics and econometrics Milton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020] 9781003033219 (DLC) 2020006870 7 cbc orignew 1 ecip 20 y-gencatlg ddc BB 29842 29813 0 0 ddc 0 0 Alahram MAIN MAIN 1ST 2022-03-03 Purchase 1049.00 282 0 519.535 APP 000056200 2025-07-15 00:00:00 1311.25 2022-03-03 BB