000			02155cam a22003618i 4500
001			21427482
003			EG-ScBUE
005			20220303111840.0
008			200211s2021 enka f b 001 0 eng d
020			_a9780367470760
040			_aDLC _beng _erda _cDLC _dEG-ScBUE
082	0	4	_a519.535 _222 _bAPP
245	0	0	_aApplied spatial statistics and econometrics : _bdata analysis in R / _cKatarzyna Kopczewska, [editor].
264		1	_aMilton Park, Abingdon, Oxon ; _aNew York, NY : _bRoutledge, _c2021.
300			_axxv, 593 pages : _billustrations ; _c30 cm.
336			_atext _btxt _2rdacontent
337			_aunmediated _bn _2rdamedia
338			_avolume _bnc _2rdacarrier
490	0		_aRoutledge advanced texts in economics and finance
504			_aIncludes bibliographical references and index.
520			_a"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"-- _cProvided by publisher.
650		7	_aSpatial analysis (Statistics) _2BUEsh
650		7	_aEconometrics. _2BUEsh
650		7	_aR (Computer program language) _2BUEsh _934038
653			_bCOMSCI _cMarch2022
655			_vReading book _934232
700	1		_aKopczewska, Katarzyna, _eeditor.
776	0	8	_iOnline version: _tApplied spatial statistics and econometrics _dMilton Park, Abingdon, Oxon ; New York, NY : Routledge, [2020] _z9781003033219 _w(DLC) 2020006870
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2ddc _cBB
999			_c29842 _d29813