Models in spatial analysis [[electronic resource] /] / edited by Léna Sanders |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
Descrizione fisica | 1 online resource (349 p.) |
Disciplina |
910.01/5195
910.015195 |
Altri autori (Persone) | SandersLéna |
Collana | ISTE |
Soggetto topico |
Geography - Mathematical models
Spatial analysis (Statistics) - Mathematical models Geomatics |
Soggetto genere / forma | Electronic books. |
ISBN |
1-280-84762-X
9786610847624 0-470-39448-X 0-470-61225-8 1-84704-559-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Models 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
1.5. 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 2.3.2. 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 Chapter 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 4.1. 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 4.4.1. Simulation of individual activity programs: public transport possibilities in the city of Karlstad - an application by Bo Lenntorp |
Record Nr. | UNINA-9910144965203321 |
London ; ; Newport Beach, CA, : ISTE, 2007 | ||
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Lo trovi qui: Univ. Federico II | ||
|
Models in spatial analysis [[electronic resource] /] / edited by Léna Sanders |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
Descrizione fisica | 1 online resource (349 p.) |
Disciplina |
910.01/5195
910.015195 |
Altri autori (Persone) | SandersLéna |
Collana | ISTE |
Soggetto topico |
Geography - Mathematical models
Spatial analysis (Statistics) - Mathematical models Geomatics |
ISBN |
1-280-84762-X
9786610847624 0-470-39448-X 0-470-61225-8 1-84704-559-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Models 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
1.5. 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 2.3.2. 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 Chapter 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 4.1. 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 4.4.1. Simulation of individual activity programs: public transport possibilities in the city of Karlstad - an application by Bo Lenntorp |
Record Nr. | UNISA-996213245503316 |
London ; ; Newport Beach, CA, : ISTE, 2007 | ||
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Lo trovi qui: Univ. di Salerno | ||
|
Models in spatial analysis [[electronic resource] /] / edited by Léna Sanders |
Pubbl/distr/stampa | London ; ; Newport Beach, CA, : ISTE, 2007 |
Descrizione fisica | 1 online resource (349 p.) |
Disciplina |
910.01/5195
910.015195 |
Altri autori (Persone) | SandersLéna |
Collana | ISTE |
Soggetto topico |
Geography - Mathematical models
Spatial analysis (Statistics) - Mathematical models Geomatics |
ISBN |
1-280-84762-X
9786610847624 0-470-39448-X 0-470-61225-8 1-84704-559-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Models 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
1.5. 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 2.3.2. 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 Chapter 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 4.1. 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 4.4.1. Simulation of individual activity programs: public transport possibilities in the city of Karlstad - an application by Bo Lenntorp |
Record Nr. | UNINA-9910830909203321 |
London ; ; Newport Beach, CA, : ISTE, 2007 | ||
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Lo trovi qui: Univ. Federico II | ||
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