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Geographic information analysis / / David O'Sullivan and David J. Unwin
| Geographic information analysis / / David O'Sullivan and David J. Unwin |
| Autore | O'Sullivan David <1966-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2010 |
| Descrizione fisica | 1 online resource (431 p.) |
| Disciplina | 910.285 |
| Soggetto topico |
Geographic information systems
Spatial analysis (Statistics) |
| ISBN |
1-119-02387-4
0-470-54909-2 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geographic 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
Objects 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 AdjacencyInteraction; 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 Classless 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 4.3 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 Chapter Review |
| Record Nr. | UNINA-9910139409603321 |
O'Sullivan David <1966->
|
||
| Hoboken, New Jersey : , : Wiley, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Geographic information analysis / / David O'Sullivan and David J. Unwin
| Geographic information analysis / / David O'Sullivan and David J. Unwin |
| Autore | O'Sullivan David <1966-> |
| Edizione | [2nd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , 2010 |
| Descrizione fisica | 1 online resource (431 p.) |
| Disciplina | 910.285 |
| Soggetto topico |
Geographic information systems
Spatial analysis (Statistics) |
| ISBN |
1-119-02387-4
0-470-54909-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Geographic 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
Objects 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 AdjacencyInteraction; 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 Classless 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 4.3 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 Chapter Review |
| Record Nr. | UNINA-9910830229703321 |
|
O'Sullivan David <1966->
|
||
| Hoboken, New Jersey : , : Wiley, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial simulation [[electronic resource] ] : exploring pattern and process / / David O'Sullivan and George L.W. Perry
| Spatial simulation [[electronic resource] ] : exploring pattern and process / / David O'Sullivan and George L.W. Perry |
| Autore | O'Sullivan David <1966-> |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K., : John Wiley & Sons Inc., 2013 |
| Descrizione fisica | 1 online resource (342 p.) |
| Disciplina | 003 |
| Altri autori (Persone) | PerryGeorge L. W |
| Soggetto topico |
Spatial data infrastructures - Mathematical models
Spatial analysis (Statistics) |
| ISBN |
1-118-52707-0
1-118-52708-9 1-119-97080-6 1-118-55507-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgements; Introduction; About the Companion Website; Chapter 1 Spatial Simulation Models: What? Why? How?; 1.1 What are simulation models?; 1.1.1 Conceptual models; 1.1.2 Physical models; 1.1.3 Mathematical models; 1.1.4 Empirical models; 1.1.5 Simulation models; 1.2 How do we use simulation models?; 1.2.1 Using models for prediction; 1.2.2 Models as guides to data collection; 1.2.3 Models as `tools to think with'; 1.3 Why do we use simulation models?; 1.3.1 When experimental science is difficult (or impossible)
1.3.2 Complexity and nonlinear dynamics1.4 Why dynamic and spatial models?; 1.4.1 The strengths and weaknesses of highly general models; 1.4.2 From abstract to more realistic models: controlling the cost; Chapter 2 Pattern, Process and Scale; 2.1 Thinking about spatiotemporal patterns and processes; 2.1.1 What is a pattern?; 2.1.2 What is a process?; 2.1.3 Scale; 2.2 Using models to explore spatial patterns and processes; 2.2.1 Reciprocal links between pattern and process: a spatial model of forest structure; 2.2.2 Characterising patterns: first- and second-order structure 2.2.3 Using null models to evaluate patterns2.2.4 Density-based (first-order) null models; 2.2.5 Interaction-based (second-order) null models; 2.2.6 Inferring process from (spatio-temporal) pattern; 2.2.7 Making the virtual forest more realistic; 2.3 Conclusions; Chapter 3 Aggregation and Segregation; 3.1 Background and motivating examples; 3.1.1 Basics of (discrete spatial) model structure; 3.2 Local averaging; 3.2.1 Local averaging with noise; 3.3 Totalistic automata; 3.3.1 Majority rules; 3.3.2 Twisted majority annealing; 3.3.3 Life-like rules 3.4 A more general framework: interacting particle systems3.4.1 The contact process; 3.4.2 Multiple contact processes; 3.4.3 Cyclic relationships between states: rock-scissors-paper; 3.4.4 Voter models; 3.4.5 Voter models with noise mutation; 3.5 Schelling models; 3.6 Spatial partitioning; 3.6.1 Iterative subdivision; 3.6.2 Voronoi tessellations; 3.7 Applying these ideas: more complicated models; 3.7.1 Pattern formation on animals' coats: reaction-diffusion models; 3.7.2 More complicated processes: spatial evolutionary game theory; 3.7.3 More realistic models: cellular urban models Chapter 4 Random Walks and Mobile Entities4.1 Background and motivating examples; 4.2 The random walk; 4.2.1 Simple random walks; 4.2.2 Random walks with variable step lengths; 4.2.3 Correlated walks; 4.2.4 Bias and drift in random walks; 4.2.5 L ́evy flights: walks with non-finite step length variance; 4.3 Walking for a reason: foraging and search; 4.3.1 Using clues: localised search; 4.3.2 The effect of the distribution of resources; 4.3.3 Foraging and random walks revisited; 4.4 Moving entities and landscape interaction; 4.5 Flocking: entity-entity interaction; 4.6 Applying the framework 4.6.1 Animal foraging |
| Record Nr. | UNINA-9910139020703321 |
|
O'Sullivan David <1966->
|
||
| Chichester, West Sussex, U.K., : John Wiley & Sons Inc., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial simulation : exploring pattern and process / / David O'Sullivan and George L.W. Perry
| Spatial simulation : exploring pattern and process / / David O'Sullivan and George L.W. Perry |
| Autore | O'Sullivan David <1966-> |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Chichester, West Sussex, U.K., : John Wiley & Sons Inc., 2013 |
| Descrizione fisica | 1 online resource (342 p.) |
| Disciplina | 003 |
| Altri autori (Persone) | PerryGeorge L. W |
| Soggetto topico |
Spatial data infrastructures - Mathematical models
Spatial analysis (Statistics) |
| ISBN |
9781118527078
1118527070 9781118527085 1118527089 9781119970804 1119970806 9781118555071 1118555074 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Foreword; Preface; Acknowledgements; Introduction; About the Companion Website; Chapter 1 Spatial Simulation Models: What? Why? How?; 1.1 What are simulation models?; 1.1.1 Conceptual models; 1.1.2 Physical models; 1.1.3 Mathematical models; 1.1.4 Empirical models; 1.1.5 Simulation models; 1.2 How do we use simulation models?; 1.2.1 Using models for prediction; 1.2.2 Models as guides to data collection; 1.2.3 Models as `tools to think with'; 1.3 Why do we use simulation models?; 1.3.1 When experimental science is difficult (or impossible)
1.3.2 Complexity and nonlinear dynamics1.4 Why dynamic and spatial models?; 1.4.1 The strengths and weaknesses of highly general models; 1.4.2 From abstract to more realistic models: controlling the cost; Chapter 2 Pattern, Process and Scale; 2.1 Thinking about spatiotemporal patterns and processes; 2.1.1 What is a pattern?; 2.1.2 What is a process?; 2.1.3 Scale; 2.2 Using models to explore spatial patterns and processes; 2.2.1 Reciprocal links between pattern and process: a spatial model of forest structure; 2.2.2 Characterising patterns: first- and second-order structure 2.2.3 Using null models to evaluate patterns2.2.4 Density-based (first-order) null models; 2.2.5 Interaction-based (second-order) null models; 2.2.6 Inferring process from (spatio-temporal) pattern; 2.2.7 Making the virtual forest more realistic; 2.3 Conclusions; Chapter 3 Aggregation and Segregation; 3.1 Background and motivating examples; 3.1.1 Basics of (discrete spatial) model structure; 3.2 Local averaging; 3.2.1 Local averaging with noise; 3.3 Totalistic automata; 3.3.1 Majority rules; 3.3.2 Twisted majority annealing; 3.3.3 Life-like rules 3.4 A more general framework: interacting particle systems3.4.1 The contact process; 3.4.2 Multiple contact processes; 3.4.3 Cyclic relationships between states: rock-scissors-paper; 3.4.4 Voter models; 3.4.5 Voter models with noise mutation; 3.5 Schelling models; 3.6 Spatial partitioning; 3.6.1 Iterative subdivision; 3.6.2 Voronoi tessellations; 3.7 Applying these ideas: more complicated models; 3.7.1 Pattern formation on animals' coats: reaction-diffusion models; 3.7.2 More complicated processes: spatial evolutionary game theory; 3.7.3 More realistic models: cellular urban models Chapter 4 Random Walks and Mobile Entities4.1 Background and motivating examples; 4.2 The random walk; 4.2.1 Simple random walks; 4.2.2 Random walks with variable step lengths; 4.2.3 Correlated walks; 4.2.4 Bias and drift in random walks; 4.2.5 L ́evy flights: walks with non-finite step length variance; 4.3 Walking for a reason: foraging and search; 4.3.1 Using clues: localised search; 4.3.2 The effect of the distribution of resources; 4.3.3 Foraging and random walks revisited; 4.4 Moving entities and landscape interaction; 4.5 Flocking: entity-entity interaction; 4.6 Applying the framework 4.6.1 Animal foraging |
| Record Nr. | UNINA-9910811539603321 |
|
O'Sullivan David <1966->
|
||
| Chichester, West Sussex, U.K., : John Wiley & Sons Inc., 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||