LEADER 05206nam 2200637 450 001 9910830229703321 005 20210617135051.0 010 $a1-119-02387-4 010 $a0-470-54909-2 035 $a(CKB)2480000000008325 035 $a(EBL)698730 035 $a(SSID)ssj0000481496 035 $a(PQKBManifestationID)11324744 035 $a(PQKBTitleCode)TC0000481496 035 $a(PQKBWorkID)10471312 035 $a(PQKB)10410401 035 $a(MiAaPQ)EBC698730 035 $a(MiAaPQ)EBC4945124 035 $a(PPN)189305347 035 $a(OCoLC)587063574 035 $a(EXLCZ)992480000000008325 100 $a20180206h20102010 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aGeographic information analysis /$fDavid O'Sullivan and David J. Unwin 205 $a2nd ed. 210 1$aHoboken, New Jersey :$cWiley,$d2010. 210 4$dİ2010 215 $a1 online resource (431 p.) 300 $aDescription based upon print version of record. 311 $a0-470-28857-4 320 $aIncludes bibliographical references and index. 327 $aGeographic Information Analysis; Contents; Preface to the Second Edition; Acknowledgments; Preface to the First Edition; 1 Geographic Information Analysis and Spatial Data; Chapter Objectives; 1.1 Introduction; 1.2 Spatial Data Types; The Object View; The Field View; Choosing the Representation to Be Used; Types of Spatial Object; 1.3 Some Complications; Objects Are Not Always What They Appear to Be; Objects Are Usually Multidimensional; Objects Don't Move or Change; Objects Don't Have Simple Geometries; Objects Depend on the Scale of Analysis; Objects Might Have Fractal Dimension 327 $aObjects Can Be Fuzzy and/or Have Indeterminate Boundaries1.4 Scales for Attribute Description; Nominal Measures; Ordinal Measures; Interval and Ratio Measures; Dimensions and Units; 1.5 GIS and Spatial Data Manipulation; 1.6 The Road Ahead; Chapter Review; References; 2 The Pitfalls and Potential of Spatial Data; Chapter Objectives; 2.1 Introduction; 2.2 The Bad News: The Pitfalls of Spatial Data; Spatial Autocorrelation; The Modifiable Areal Unit Problem; The Ecological Fallacy; Scale; Nonuniformity of Space and Edge Effects; 2.3 The Good News: The Potential of Spatial Data; Distance 327 $aAdjacencyInteraction; Neighborhood; Summarizing Relationships in Matrices; Proximity Polygons; Chapter Review; References; 3 Fundamentals-Mapping It Out; Chapter Objectives; 3.1 Introduction: The Cartographic Tradition; 3.2 Geovisualization and Analysis; 3.3 The Graphic Variables of Jacques Bertin; 3.4 New Graphic Variables; Animation and Graphics Scripts; Linking and Brushing; Projection; 3.5 Issues in Geovisualization; 3.6 Mapping and Exploring Points; Dot or Pin Maps; Kernel Density Maps; Located Proportional Symbol Maps; 3.7 Mapping and Exploring Areas; Color Patch Maps; Choropleth Maps 327 $aClassless ChoroplethsMaps of Relative Rates; Dasymetric Mapping; Surface Models for Area Objects; Area Cartograms; 3.8 Mapping and Exploring Fields; Point Values: Spot Heights, Benchmarks, and Bubble Plots; Contours and Isolines; Enhancing the Isoline; Other Ways of Displaying Surfaces; 3.9 The Spatialization of Nonspatial Data; 3.10 Conclusion; Chapter Review; References; 4 Fundamentals-Maps as Outcomes of Processes; Chapter Objectives; 4.1 Introduction: Maps and Processes; 4.2 Processes and the Patterns They Make; Deterministic Processes; A Stochastic Process and Its Realizations 327 $a4.3 Predicting the Pattern Generated by a Process4.4 More Definitions; 4.5 Stochastic Processes in Lines, Areas, and Fields; Line Objects; Area Objects; Fields; 4.6 Conclusions; Chapter Review; References; 5 Point Pattern Analysis; Chapter Objectives; 5.1 Introduction; 5.2 Describing a Point Pattern; Centrography; Density-Based Point Pattern Measures; Quadrat Count Methods; Distance-Based Point Pattern Measures; Edge Effects; 5.3 Assessing Point Patterns Statistically; Quadrat Counts; Nearest-Neighbor Distances; The G and F Functions; The K Function; 5.4 Monte Carlo Testing; 5.5 Conclusions 327 $aChapter Review 330 $aGeographic Information Analysis provides up-to-date coverage of the foundations of spatial data analysis through visualization and maps. This book covers key spatial concepts, including point pattern, line objects and networks, area objects, and continuous fields, as well as such new subjects as local statistics. With crucial methods for analyzing geographical information, this is an essential reference for professionals as well as a useful text for the classroom.
606 $aGeographic information systems 606 $aSpatial analysis (Statistics) 615 0$aGeographic information systems. 615 0$aSpatial analysis (Statistics) 676 $a910.285 700 $aO'Sullivan$b David$f1966-$01638505 702 $aUnwin$b D$g(David John), 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830229703321 996 $aGeographic information analysis$93980985 997 $aUNINA