000			01334nam a22002057a 4500
999			_c4484 _d4484
005			20230113175551.0
008			230113b ||||| |||| 00| 0 eng d
020			_a9780367470760
082			_a519.535 _bKOP
100			_aKopczewska, Katarzyna _911341
245			_aApplied spatial statistics and econometrics: _bdata analysis in R
260			_bRoutledge _aLondon _c2021
300			_axxv, 593 p.
365			_aGBP _b52.99
520			_aBook Description 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.
650			_aR (Computer program language) _91512
650			_aSpatial analysis (Statistics) _97946
650			_aEconometrics _9845
942			_2ddc _cBK