LEADER 04408nam 22006732 450 001 9910450000103321 005 20151005020622.0 010 $a1-107-12886-2 010 $a0-511-04085-7 010 $a1-280-42954-2 010 $a9786610429547 010 $a0-511-17843-3 010 $a0-511-14880-1 010 $a0-511-32370-0 010 $a0-511-75494-9 010 $a0-511-04986-2 035 $a(CKB)1000000000007473 035 $a(EBL)201422 035 $a(OCoLC)559385754 035 $a(SSID)ssj0000249360 035 $a(PQKBManifestationID)11176648 035 $a(PQKBTitleCode)TC0000249360 035 $a(PQKBWorkID)10223514 035 $a(PQKB)10002877 035 $a(UkCbUP)CR9780511754944 035 $a(MiAaPQ)EBC201422 035 $a(Au-PeEL)EBL201422 035 $a(CaPaEBR)ebr10062302 035 $a(CaONFJC)MIL42954 035 $a(EXLCZ)991000000000007473 100 $a20100422d2003|||| uy| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aSpatial data analysis $etheory and practice /$fRobert Haining$b[electronic resource] 210 1$aCambridge :$cCambridge University Press,$d2003. 215 $a1 online resource (xx, 432 pages) $cdigital, PDF file(s) 300 $aTitle from publisher's bibliographic system (viewed on 05 Oct 2015). 311 $a0-521-77437-3 311 $a0-521-77319-9 320 $aIncludes bibliographical references (p. 394-423) and index. 327 $aCover; Half-title; Title; Copyright; Dedication; Contents; Preface; Readership; Acknowledgements; Copyright acknowledgements; Introduction; 0.1 About the book; 0.2 What is spatial data analysis?; 0.3 Motivation for the book; 0.4 Organization; 0.5 The spatial data matrix; Part A The context for spatial data analysis; 1 Spatial data analysis: scientific and policy context; 2 The nature of spatial data; Part B Spatial data: obtaining data and quality issues; 3 Obtaining spatial data through sampling; 4 Data quality: implications for spatial data analysis 327 $aPart C The exploratory analysis of spatial data5 Exploratory spatial data analysis: conceptual models; 6 Exploratory spatial data analysis: visualization methods; 7 Exploratory spatial data analysis: numerical methods; Part D Hypothesis testing and spatial autocorrelation; 8 Hypothesis testing in the presence of spatial dependence; Part E Modelling spatial data; 9 Models for the statistical analysis of spatial data; 10 Statistical modelling of spatial variation: descriptive modelling; 11 Statistical modelling of spatial variation: explanatory modelling; Appendix I Software 327 $aAppendix II Cambridgeshire lung cancer data (observed and expected counts and ward neighbours)Appendix III Sheffield burglary data; Appendix III Sheffield burglary data; Appendix IV Children excluded from school: Sheffield; References; Index 330 $aSpatial Data Analysis: Theory and Practice, first published in 2003, provides a broad ranging treatment of the field of spatial data analysis. It begins with an overview of spatial data analysis and the importance of location (place, context and space) in scientific and policy related research. Covering fundamental problems concerning how attributes in geographical space are represented to the latest methods of exploratory spatial data analysis and spatial modeling, it is designed to take the reader through the key areas that underpin the analysis of spatial data, providing a platform from which to view and critically appreciate many of the key areas of the field. Parts of the text are accessible to undergraduate and master's level students, but it also contains sufficient challenging material that it will be of interest to geographers, social and economic scientists, environmental scientists and statisticians, whose research takes them into the area of spatial analysis. 606 $aSpatial analysis (Statistics) 606 $aGeology$xStatistical methods$xData processing 615 0$aSpatial analysis (Statistics) 615 0$aGeology$xStatistical methods$xData processing. 676 $a001.4/22 700 $aHaining$b Robert P.$0626411 801 0$bUkCbUP 801 1$bUkCbUP 906 $aBOOK 912 $a9910450000103321 996 $aSpatial data analysis$91214863 997 $aUNINA