000			03234cam a2200433 i 4500
999			_c31889 _d31889
001			23026769
003			PAC University
005			20240306164803.0
006			m |o d |
007			cr_|||||||||||
008			221215s2023 flu ob 001 0 eng
010			_a 2022045905
020			_a9781003154914 _q(ebook)
020			_z9780367724696 _q(hardback)
020			_z9780367724597 _q(paperback)
040			_aDLC _beng _cPAC University _erda _dPAC University
042			_apcc
050	0	0	_aHV7936.C88 _b.A75 2023
082	0	0	_a363.250285 _223/eng/20230320
100	1		_aMedina, Juanjo, _eauthor.
245	1	0	_aCrime mapping and spatial data analysis using R / _cJuanjo Medina Ariza, Reka Solymosi.
250			_aFirst edition.
264		1	_aBoca Raton, FL : _bCRC Press, Taylor & Francis Group, _c2023.
300			_axxiii, 426p. : _bill. _c26cm
336			_atext _btxt _2rdacontent
490	0		_aChapman & Hall/CRC statistics in the social and behavioral sciences
500			_a"A Chapman & Hall book"
504			_aIncludes bibliographical references and index.
520			_a"Crime mapping and analysis sit at the intersection of geocomputation, data visualisation and cartography, spatial statistics, environmental criminology, and crime analysis. This book brings together relevant knowledge from these fields into a practical, hands-on guide, providing a useful introduction and reference material for topics in crime mapping, the geography of crime, environmental criminology, and crime analysis. It can be used by students, practitioners, and academics alike, whether to develop a university course, to support further training and development, or to hone skills in self-teaching R and crime mapping and spatial data analysis. It is not an advanced statistics textbook, but rather an applied guide and later useful reference books, intended to be read and for readers to practice the learnings from each chapter in sequence. In the first part of this volume we introduce key concepts for geographic analysis and representation and provide the reader with the foundations needed to visualise spatial crime data. We then introduce a series of tools to study spatial homogeneity and dependence. A key focus in this section is how to visualise and detect local clusters of crime and repeat victimisation. The final chapters introduce the use of basic spatial models, which account for the distribution of crime across space. In terms of spatial data analysis the focus of the book is on spatial point pattern analysis and lattice or area data analysis"-- _cProvided by publisher.
588			_aDescription based on print version record and CIP data provided by publisher.
650		0	_aCrime analysis.
650		0	_aCriminology _xEnvironmental aspects.
650		0	_aSpatial analysis (Statistics)
700	1		_aSolymosi, Reka, _eauthor.
776	0	8	_iPrint version: _aMedina, Juanjo. _tCrime mapping and spatial data analysis using R _bFirst edition. _dBoca Raton, FL : CRC Press, Taylor & Francis Group, 2023 _z9780367724696 _w(DLC) 2022045904
906			_a7 _bcbc _corignew _d1 _eecip _f20 _gy-gencatlg
942			_2lcc _cBK _hHV7936.C88 _i.A75 2023