000			02156nam a22003497a 4500
001			sulb0077565
003			BD-SySUS
005			20230306093655.0
008			230306s2020 enk ob 001 0 eng
020			_a9781003033219 _q(ebook)
020			_z9780367470777 _q(hardback)
020			_z9780367470760 _q(paperback)
040			_aDLC _beng _cDLC _erda _dDLC
050	0	0	_aHA30.6
082	0	0	_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 Taylor & Francis Group, _c2021.
300			_axxv,592 p. _bill. ; _c28 cm
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _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.
588			_aDescription based on print version record.
650		0	_aSpatial analysis (Statistics) _960725
650		0	_aEconometrics. _960726
650		0	_aR (Computer program language) _960727
700	1		_aKopczewska, Katarzyna, _eeditor. _960728
776	0	8	_iPrint version: _tApplied spatial statistics and econometrics _dMilton Park, Abingdon, Oxon ; New York, NY : Routledge Taylor & Francis Group, 2021. _z9780367470777 _w(DLC) 2020006869
942			_2ddc _cBK
999			_c84477 _d84477