LEADER 05517nam 2200673 a 450 001 996213245503316 005 20240108152830.0 010 $a1-280-84762-X 010 $a9786610847624 010 $a0-470-39448-X 010 $a0-470-61225-8 010 $a1-84704-559-6 035 $a(CKB)1000000000393336 035 $a(EBL)700727 035 $a(OCoLC)769341518 035 $a(SSID)ssj0000303411 035 $a(PQKBManifestationID)11265548 035 $a(PQKBTitleCode)TC0000303411 035 $a(PQKBWorkID)10275505 035 $a(PQKB)11403709 035 $a(MiAaPQ)EBC700727 035 $a(EXLCZ)991000000000393336 100 $a20070321d2007 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aModels in spatial analysis$b[electronic resource] /$fedited by Le?na Sanders 210 $aLondon ;$aNewport Beach, CA $cISTE$d2007 215 $a1 online resource (349 p.) 225 1 $aISTE ;$vv.661 300 $aDescription based upon print version of record. 311 $a1-905209-09-6 320 $aIncludes bibliographical references and index. 327 $aModels in Spatial Analysis; Table of Contents; Preface; Introduction; Chapter 1. Modeling Concepts Used in Spatial Analysis; 1.1. Introduction; 1.2. Modeling universals; 1.2.1. Logical frames for modeling; 1.2.2. The language of models; 1.2.2.1. Material or physical model languages; 1.2.2.2. The language of images: iconic models; 1.2.2.3. Modeling in mathematical language; 1.3. A few specific features of spatial models; 1.4. Spatial models: a study grid; 1.4.1. Sequencing and explanation; 1.4.2. The group and the individual; 1.4.3. The random and the determined; 1.4.4. Movement and balance 327 $a1.5. Conclusion1.6. Bibliography; Chapter 2. Geographical Scales and Multidimensional Statistical Methods; 2.1. Introduction; 2.2. Scaling issues; 2.2.1. The consideration of different geographical levels: two possible approaches; 2.2.2. Formalization of relations between two levels; 2.2.2.1. Nested relations and partition graph; 2.2.2.2. Neighborhood relations and proximity graphs; 2.2.3. Processing of multilevel information; 2.2.3.1. Multilevel structure and attributes; 2.2.3.2. Multidimensional statistical methods; 2.3. Change of levels, change of structures; 2.3.1. Scale and variability 327 $a2.3.2. Exploratory analysis of the scale system2.3.2.1. Analysis of aggregated levels or interclass analysis; 2.3.2.2. Transition analysis between two levels or intraclass analysis; 2.3.3. Application of outlying Ouagadougou space to the social and spatial organization; 2.4. Integration of the different levels; 2.4.1. The scale: a set of territorial and spatial references; 2.4.2. The analysis of local differences; 2.4.3. Other local analysis methods; 2.5. Multilevel models; 2.5.1. Contextual effects and regression models; 2.5.2. Multilevel modeling; 2.6. Conclusion; 2.7. Bibliography 327 $aChapter 3. Location of Public Services: From Theory to Application3.1. Introduction; 3.2. The modeling approach; 3.2.1. A typology of public services: an attempt; 3.2.2. Estimating demand; 3.2.3. Analyzing supply; 3.2.4. Adjusting supply to demand; 3.2.5. Evaluating the solutions; 3.2.6. Methodological perspectives; 3.3. A prototype location model: the k-median; 3.4. An example: recycling centers; 3.4.1. The problem: the optimal location of recycling centers; 3.4.2. Results of the model; 3.5. Conclusion; 3.6. Bibliography; Chapter 4. Time-geography: Individuals in Time and Space 327 $a4.1. Introduction: why integrate "time" when we analyze space?4.1.1. The study of spatio-temporal processes; 4.1.2. For a time-integrated geography; 4.2. The foundations of time-geography; 4.2.1. The premises; 4.2.2. A certain vision of the world; 4.3. The conceptual framework of time-geography; 4.3.1. The creation of a "notation system"; 4.3.2. Tools to decrypt daily life; 4.3.2.1. Trajectory, station, project: basic concepts; 4.3.2.2. Different types of constraints; 4.3.2.3. A transversal analysis of the "three worlds"; 4.4. Time-geography in practice 327 $a4.4.1. Simulation of individual activity programs: public transport possibilities in the city of Karlstad - an application by Bo Lenntorp 330 $aThis title provides a broad overview of the different types of models used in advanced spatial analysis. The models concern spatial organization, location factors and spatial interaction patterns from both static and dynamic perspectives. Each chapter gives a broad overview of the subject, covering both theoretical developments and practical applications. The advantages of an interdisciplinary approach are illustrated in the way that the viewpoint of each of the individual disciplines are brought together when considering questions relevant to spatial analysis. The authors of the chapters 410 0$aISTE 606 $aGeography$xMathematical models 606 $aSpatial analysis (Statistics)$xMathematical models 606 $aGeomatics 615 0$aGeography$xMathematical models. 615 0$aSpatial analysis (Statistics)$xMathematical models. 615 0$aGeomatics. 676 $a910.01/5195 676 $a910.015195 701 $aSanders$b Le?na$0376392 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996213245503316 996 $aModels in spatial analysis$92004391 997 $aUNISA