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Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes [[electronic resource] /] / editor, H. Randy Gimblett
| Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes [[electronic resource] /] / editor, H. Randy Gimblett |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2002 |
| Descrizione fisica | 1 online resource (342 p.) |
| Disciplina |
304.2
304.2015118 |
| Altri autori (Persone) | GimblettH. Randal (Howard Randal) |
| Collana | Santa Fe Institute studies in the sciences of complexity |
| Soggetto topico |
Human geography - Mathematical models
Human ecology - Mathematical models Social ecology - Mathematical models Regional planning - Mathematical models Geographic information systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-19-756181-0
1-280-53137-1 0-19-803274-9 1-4294-0224-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; 1 Integrating Geographic Information Systems and Agent-Based Technologies for Modeling and Simulating Social and Ecological Phenomena; 2 Providing a Broad Spectrum of Agents in Spatially Explicit Simulation Models: The Gensim Approach; 3 Spatial Units as Agents: Making the Landscape an Equal Player in Agent-Based Simulations; 4 Geographic Information Systems and Agent-Based Modeling; 5 Management Application of an Agent-Based Model: Control of Cowbirds at the Landscape Scale
6 Integrating Spatial Data into an Agent-Based Modeling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation7 Models of Individual Decision Making in Agent-Based Simulation of Common-Pool-Resource Management Institutions; 8 An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems; 9 Mobile Agents with Spatial Intelligence; 10 Simulating Wildland Recreation Use and Conflicting Spatial Interactions using Rule-Driven Intelligent Agents 11 An Intelligent Agent-Based Model for Simulating and Evaluating River Trip Scenerios along the Colorado River in Grand Canyon National Park12 Agent-Based Simulations of Household Decision Making and Land Use Change near Altamira, Brazil; Index |
| Record Nr. | UNINA-9910451712503321 |
| Oxford ; ; New York, : Oxford University Press, 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes [[electronic resource] /] / editor, H. Randy Gimblett
| Integrating geographic information systems and agent-based modeling techniques for simulating social and ecological processes [[electronic resource] /] / editor, H. Randy Gimblett |
| Pubbl/distr/stampa | Oxford ; ; New York, : Oxford University Press, 2002 |
| Descrizione fisica | 1 online resource (342 p.) |
| Disciplina |
304.2
304.2015118 |
| Altri autori (Persone) | GimblettH. Randal (Howard Randal) |
| Collana | Santa Fe Institute studies in the sciences of complexity |
| Soggetto topico |
Human geography - Mathematical models
Human ecology - Mathematical models Social ecology - Mathematical models Regional planning - Mathematical models Geographic information systems |
| ISBN |
0-19-756181-0
1-280-53137-1 0-19-803274-9 1-4294-0224-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Contents; Preface; 1 Integrating Geographic Information Systems and Agent-Based Technologies for Modeling and Simulating Social and Ecological Phenomena; 2 Providing a Broad Spectrum of Agents in Spatially Explicit Simulation Models: The Gensim Approach; 3 Spatial Units as Agents: Making the Landscape an Equal Player in Agent-Based Simulations; 4 Geographic Information Systems and Agent-Based Modeling; 5 Management Application of an Agent-Based Model: Control of Cowbirds at the Landscape Scale
6 Integrating Spatial Data into an Agent-Based Modeling System: Ideas and Lessons from the Development of the Across-Trophic-Level System Simulation7 Models of Individual Decision Making in Agent-Based Simulation of Common-Pool-Resource Management Institutions; 8 An Agent-Based Approach to Environmental and Urban Systems within Geographic Information Systems; 9 Mobile Agents with Spatial Intelligence; 10 Simulating Wildland Recreation Use and Conflicting Spatial Interactions using Rule-Driven Intelligent Agents 11 An Intelligent Agent-Based Model for Simulating and Evaluating River Trip Scenerios along the Colorado River in Grand Canyon National Park12 Agent-Based Simulations of Household Decision Making and Land Use Change near Altamira, Brazil; Index |
| Record Nr. | UNINA-9910777615803321 |
| Oxford ; ; New York, : Oxford University Press, 2002 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The modeling process in geography [[electronic resource] ] : from determinism to complexity / / edited by Yves Guermond
| The modeling process in geography [[electronic resource] ] : from determinism to complexity / / edited by Yves Guermond |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, 2008 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina |
307.1/2
910.285 |
| Altri autori (Persone) | GuermondYves |
| Collana | ISTE |
| Soggetto topico |
Regional planning - Mathematical models
Human geography - Mathematical models Geographic information systems Spatial analysis (Statistics) |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-282-25385-9
9786613814500 0-470-61172-3 0-470-60804-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Modeling Process in Geography: From Determinism to Complexity; Table of Contents; Foreword. The Taste for Measuring and Modeling; Preface; Acknowledgements; Chapter 1. The Place of Both the Model and Modeling in HSS; 1.1. Models and modeling: definitions; 1.2. The mathematical concept of a model; 1.2.1. The semantic conception; 1.2.2. The empirical concept; 1.2.3. Links between the mathematical model and its object; 1.3. Is there a specificity of HSS?; 1.4. Modeling: explain to understand?; 1.5. Bibliography; Chapter 2. From Classic Models to Incremental Models
2.1. The geographic "object"2.2. Lessons from the "classic models"; 2.3. Introduction to dynamics and auto-organization; 2.4. From auto-organization to complexity; 2.5. Spatial agents; 2.6. Incremental modeling; 2.7. Bibliography; Chapter 3. The Formalization of Knowledge in a Reality Simplifying System; 3.1. Formalizing a complex cultural system using a series of perspectives; 3.1.1. An initial perspective on culture and the city: the French example; 3.1.2. A simplification of the cultural system in place in France that is transposable to other countries; 3.1.3. Culture: possible measures 3.1.4. Culture in a centralized state: a French diagnostic turned towards the elaboration of a transposable investigation protocol3.1.5. The necessary re-formulation of knowledge to overcome the successive and qualitative steps of advancement; 3.2. Differentiation of the system of cities by culture: contribution of the spatial analysis for testing the "global cultural model"; 3.2.1. A methodological investigation to define the cultural potential of British and French cities and their competitive capacity 3.2.2. A comparative intra-urban study of two cities: similar disparities at the heart of the urban areas of Rouen and Brighton3.3. Alternative formalizations; 3.3.1. Measuring urban cultural potential; 3.3.2. A way to better define the global operation of the cultural system; 3.4. Conclusion; 3.5. Bibliography; Chapter 4. Modeling and Territorial Forecasting: Issues at Stake in the Modeling of Réunion's Spatial System; 4.1. Introduction; 4.2. A few major theoretical breakthroughs for modeling spatial complexity; 4.3. Modeling and territorial forecasting of the socio-spatial system of Réunion 4.3.1. Spatial complexity and social urgency in Réunion or future deviations4.3.2. The trend scenarios or the probable future; 4.3.3. Catastrophic scenarios/unacceptable futures; 4.3.4. Reformist scenarios/desirable futures; 4.4. Modeling of Réunion's socio-spatial system; 4.4.1. Graphic modeling of Réunion's complexity; 4.5. Towards a modeling of the dynamics of Réunion's system; 4.6. Conclusion; 4.7. Bibliography; Chapter 5. One Model May Conceal Another: Models of Health Geographies; 5.1. Modeling in order to surpass descriptions?; 5.2. Mode of the models and models in vogue 5.2.1. Modeling of healthcare provision |
| Record Nr. | UNINA-9910139506703321 |
| Hoboken, NJ, : John Wiley & Sons, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The modeling process in geography [[electronic resource] ] : from determinism to complexity / / edited by Yves Guermond
| The modeling process in geography [[electronic resource] ] : from determinism to complexity / / edited by Yves Guermond |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, 2008 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina |
307.1/2
910.285 |
| Altri autori (Persone) | GuermondYves |
| Collana | ISTE |
| Soggetto topico |
Regional planning - Mathematical models
Human geography - Mathematical models Geographic information systems Spatial analysis (Statistics) |
| ISBN |
1-282-25385-9
9786613814500 0-470-61172-3 0-470-60804-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Modeling Process in Geography: From Determinism to Complexity; Table of Contents; Foreword. The Taste for Measuring and Modeling; Preface; Acknowledgements; Chapter 1. The Place of Both the Model and Modeling in HSS; 1.1. Models and modeling: definitions; 1.2. The mathematical concept of a model; 1.2.1. The semantic conception; 1.2.2. The empirical concept; 1.2.3. Links between the mathematical model and its object; 1.3. Is there a specificity of HSS?; 1.4. Modeling: explain to understand?; 1.5. Bibliography; Chapter 2. From Classic Models to Incremental Models
2.1. The geographic "object"2.2. Lessons from the "classic models"; 2.3. Introduction to dynamics and auto-organization; 2.4. From auto-organization to complexity; 2.5. Spatial agents; 2.6. Incremental modeling; 2.7. Bibliography; Chapter 3. The Formalization of Knowledge in a Reality Simplifying System; 3.1. Formalizing a complex cultural system using a series of perspectives; 3.1.1. An initial perspective on culture and the city: the French example; 3.1.2. A simplification of the cultural system in place in France that is transposable to other countries; 3.1.3. Culture: possible measures 3.1.4. Culture in a centralized state: a French diagnostic turned towards the elaboration of a transposable investigation protocol3.1.5. The necessary re-formulation of knowledge to overcome the successive and qualitative steps of advancement; 3.2. Differentiation of the system of cities by culture: contribution of the spatial analysis for testing the "global cultural model"; 3.2.1. A methodological investigation to define the cultural potential of British and French cities and their competitive capacity 3.2.2. A comparative intra-urban study of two cities: similar disparities at the heart of the urban areas of Rouen and Brighton3.3. Alternative formalizations; 3.3.1. Measuring urban cultural potential; 3.3.2. A way to better define the global operation of the cultural system; 3.4. Conclusion; 3.5. Bibliography; Chapter 4. Modeling and Territorial Forecasting: Issues at Stake in the Modeling of Réunion's Spatial System; 4.1. Introduction; 4.2. A few major theoretical breakthroughs for modeling spatial complexity; 4.3. Modeling and territorial forecasting of the socio-spatial system of Réunion 4.3.1. Spatial complexity and social urgency in Réunion or future deviations4.3.2. The trend scenarios or the probable future; 4.3.3. Catastrophic scenarios/unacceptable futures; 4.3.4. Reformist scenarios/desirable futures; 4.4. Modeling of Réunion's socio-spatial system; 4.4.1. Graphic modeling of Réunion's complexity; 4.5. Towards a modeling of the dynamics of Réunion's system; 4.6. Conclusion; 4.7. Bibliography; Chapter 5. One Model May Conceal Another: Models of Health Geographies; 5.1. Modeling in order to surpass descriptions?; 5.2. Mode of the models and models in vogue 5.2.1. Modeling of healthcare provision |
| Record Nr. | UNINA-9910830952003321 |
| Hoboken, NJ, : John Wiley & Sons, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
The modeling process in geography : from determinism to complexity / / edited by Yves Guermond
| The modeling process in geography : from determinism to complexity / / edited by Yves Guermond |
| Pubbl/distr/stampa | Hoboken, NJ, : John Wiley & Sons, 2008 |
| Descrizione fisica | 1 online resource (378 p.) |
| Disciplina |
307.1/2
910.285 |
| Altri autori (Persone) | GuermondYves |
| Collana | ISTE |
| Soggetto topico |
Regional planning - Mathematical models
Human geography - Mathematical models Geographic information systems Spatial analysis (Statistics) |
| ISBN |
1-282-25385-9
9786613814500 0-470-61172-3 0-470-60804-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
The Modeling Process in Geography: From Determinism to Complexity; Table of Contents; Foreword. The Taste for Measuring and Modeling; Preface; Acknowledgements; Chapter 1. The Place of Both the Model and Modeling in HSS; 1.1. Models and modeling: definitions; 1.2. The mathematical concept of a model; 1.2.1. The semantic conception; 1.2.2. The empirical concept; 1.2.3. Links between the mathematical model and its object; 1.3. Is there a specificity of HSS?; 1.4. Modeling: explain to understand?; 1.5. Bibliography; Chapter 2. From Classic Models to Incremental Models
2.1. The geographic "object"2.2. Lessons from the "classic models"; 2.3. Introduction to dynamics and auto-organization; 2.4. From auto-organization to complexity; 2.5. Spatial agents; 2.6. Incremental modeling; 2.7. Bibliography; Chapter 3. The Formalization of Knowledge in a Reality Simplifying System; 3.1. Formalizing a complex cultural system using a series of perspectives; 3.1.1. An initial perspective on culture and the city: the French example; 3.1.2. A simplification of the cultural system in place in France that is transposable to other countries; 3.1.3. Culture: possible measures 3.1.4. Culture in a centralized state: a French diagnostic turned towards the elaboration of a transposable investigation protocol3.1.5. The necessary re-formulation of knowledge to overcome the successive and qualitative steps of advancement; 3.2. Differentiation of the system of cities by culture: contribution of the spatial analysis for testing the "global cultural model"; 3.2.1. A methodological investigation to define the cultural potential of British and French cities and their competitive capacity 3.2.2. A comparative intra-urban study of two cities: similar disparities at the heart of the urban areas of Rouen and Brighton3.3. Alternative formalizations; 3.3.1. Measuring urban cultural potential; 3.3.2. A way to better define the global operation of the cultural system; 3.4. Conclusion; 3.5. Bibliography; Chapter 4. Modeling and Territorial Forecasting: Issues at Stake in the Modeling of Réunion's Spatial System; 4.1. Introduction; 4.2. A few major theoretical breakthroughs for modeling spatial complexity; 4.3. Modeling and territorial forecasting of the socio-spatial system of Réunion 4.3.1. Spatial complexity and social urgency in Réunion or future deviations4.3.2. The trend scenarios or the probable future; 4.3.3. Catastrophic scenarios/unacceptable futures; 4.3.4. Reformist scenarios/desirable futures; 4.4. Modeling of Réunion's socio-spatial system; 4.4.1. Graphic modeling of Réunion's complexity; 4.5. Towards a modeling of the dynamics of Réunion's system; 4.6. Conclusion; 4.7. Bibliography; Chapter 5. One Model May Conceal Another: Models of Health Geographies; 5.1. Modeling in order to surpass descriptions?; 5.2. Mode of the models and models in vogue 5.2.1. Modeling of healthcare provision |
| Record Nr. | UNINA-9911020252303321 |
| Hoboken, NJ, : John Wiley & Sons, 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial management of risks [[electronic resource] /] / edited by Gérard Brugnot
| Spatial management of risks [[electronic resource] /] / edited by Gérard Brugnot |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina |
304.23
363.3401/1 |
| Altri autori (Persone) | BrugnotGérard |
| Collana | ISTE |
| Soggetto topico |
Human geography - Mathematical models
Environmental degradation - Mathematical models Environmental degradation - Statistical methods Geographic information systems |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-118-62331-2
1-282-16516-X 9786612165160 0-470-61135-9 0-470-39396-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial Management of Risks; Table of Contents; Introduction; Chapter 1. From Prevention to Risk Management: Use of GIS; 1.1. Introduction; 1.2. GIS and public security; 1.3. Examples of applications for public security; 1.3.1. SIGASC application; 1.3.2. Application; 1.3.3. SIG CODIS application; 1.4. Prospects for development; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. Coupled Use of Spatial Analysis and Fuzzy Arithmetic: Assessing the Vulnerability of a Watershed to Phytosanitary Products; 2.1. Introduction; 2.2. Construction of the index; 2.3. Implementation of fuzzy calculations
2.4. Application to the watershed of Vannetin: vulnerability to atrazine2.4.1. The research site; 2.4.2. Parameters of the watershed; 2.4.2.1. Pluviometry; 2.4.2.2. Anthropogenic sub-index; 2.4.2.3. Pedology; 2.4.2.4. Summary of data common to the entire watershed; 2.4.3. Cell parameters; 2.4.3.1. Geographic characteristics of the area; 2.4.3.2. Vegetation cover; 2.4.4. Fuzzy parameters; 2.4.5. Representation of the indicator and of its related inaccuracy; 2.5. Conclusion; 2.6. Bibliography; Chapter 3. Agricultural Non-Point Source Pollution; 3.1. Introduction 3.2. Mapping non-point source pollution phenomenon3.2.1. Mapping principles; 3.2.2. Description of the research phenomenon; 3.2.3. Mapping steps; 3.3. Territorial database building rules; 3.3.1. Choosing software programs; 3.3.2. Design of the implemented GIS; 3.3.3. Organizing and creating geographic information layers; 3.3.3.1. Implementation of a conceptual data model; 3.3.3.2. Digitization of paper-based document; 3.3.3.3. Digital data import; 3.3.3.4. Controlling the geographic data integrity; 3.3.4. Organizing and creating attribute tables; 3.3.4.1. Implementing a conceptual data model 3.3.4.2. Creating a data dictionary3.3.4.3. Thematic data processing or import; 3.3.4.4. Controlling the attribute data integrity; 3.4. The data sources used; 3.4.1. Identifying the available information; 3.4.2. Soil-related data; 3.4.2.1. Surface texture of the soils; 3.4.2.2. Soil hydromorphy; 3.4.2.3. Soil textural differentiation; 3.4.3. Topography-related data; 3.4.3.1. The slope; 3.4.3.2. Slope orientation; 3.4.4. Land use-related data; 3.4.5. Land planning-related data; 3.4.5.1. Hedges; 3.4.5.2. Ditches; 3.4.5.3. Agricultural land drainage; 3.5. Pollution risk zoning 3.5.1. Treatments to be performed3.5.1.1. Zoning of the potential for pollution; 3.5.1.2. Vulnerability zoning; 3.5.1.3. Risk zoning; 3.5.2. An example of risk zoning; 3.5.2.1 General presentation of the research area; 3.5.2.2. Knowing the risks; 3.5.2.3. Transfer diagnosis; 3.5.2.4. Risk management; 3.6. Risk zoning applications; 3.6.1. Risk knowledge applications; 3.6.2. Spatial planning applications; 3.6.3. Applications related to monitoring water quality; 3.7. Conclusion; 3.8. Bibliography Chapter 4. Cartographic Index and History of Road Sites that Face Natural Hazards in the Province of Turin |
| Record Nr. | UNINA-9910139514103321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial management of risks [[electronic resource] /] / edited by Gérard Brugnot
| Spatial management of risks [[electronic resource] /] / edited by Gérard Brugnot |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina |
304.23
363.3401/1 |
| Altri autori (Persone) | BrugnotGérard |
| Collana | ISTE |
| Soggetto topico |
Human geography - Mathematical models
Environmental degradation - Mathematical models Environmental degradation - Statistical methods Geographic information systems |
| ISBN |
1-118-62331-2
1-282-16516-X 9786612165160 0-470-61135-9 0-470-39396-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial Management of Risks; Table of Contents; Introduction; Chapter 1. From Prevention to Risk Management: Use of GIS; 1.1. Introduction; 1.2. GIS and public security; 1.3. Examples of applications for public security; 1.3.1. SIGASC application; 1.3.2. Application; 1.3.3. SIG CODIS application; 1.4. Prospects for development; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. Coupled Use of Spatial Analysis and Fuzzy Arithmetic: Assessing the Vulnerability of a Watershed to Phytosanitary Products; 2.1. Introduction; 2.2. Construction of the index; 2.3. Implementation of fuzzy calculations
2.4. Application to the watershed of Vannetin: vulnerability to atrazine2.4.1. The research site; 2.4.2. Parameters of the watershed; 2.4.2.1. Pluviometry; 2.4.2.2. Anthropogenic sub-index; 2.4.2.3. Pedology; 2.4.2.4. Summary of data common to the entire watershed; 2.4.3. Cell parameters; 2.4.3.1. Geographic characteristics of the area; 2.4.3.2. Vegetation cover; 2.4.4. Fuzzy parameters; 2.4.5. Representation of the indicator and of its related inaccuracy; 2.5. Conclusion; 2.6. Bibliography; Chapter 3. Agricultural Non-Point Source Pollution; 3.1. Introduction 3.2. Mapping non-point source pollution phenomenon3.2.1. Mapping principles; 3.2.2. Description of the research phenomenon; 3.2.3. Mapping steps; 3.3. Territorial database building rules; 3.3.1. Choosing software programs; 3.3.2. Design of the implemented GIS; 3.3.3. Organizing and creating geographic information layers; 3.3.3.1. Implementation of a conceptual data model; 3.3.3.2. Digitization of paper-based document; 3.3.3.3. Digital data import; 3.3.3.4. Controlling the geographic data integrity; 3.3.4. Organizing and creating attribute tables; 3.3.4.1. Implementing a conceptual data model 3.3.4.2. Creating a data dictionary3.3.4.3. Thematic data processing or import; 3.3.4.4. Controlling the attribute data integrity; 3.4. The data sources used; 3.4.1. Identifying the available information; 3.4.2. Soil-related data; 3.4.2.1. Surface texture of the soils; 3.4.2.2. Soil hydromorphy; 3.4.2.3. Soil textural differentiation; 3.4.3. Topography-related data; 3.4.3.1. The slope; 3.4.3.2. Slope orientation; 3.4.4. Land use-related data; 3.4.5. Land planning-related data; 3.4.5.1. Hedges; 3.4.5.2. Ditches; 3.4.5.3. Agricultural land drainage; 3.5. Pollution risk zoning 3.5.1. Treatments to be performed3.5.1.1. Zoning of the potential for pollution; 3.5.1.2. Vulnerability zoning; 3.5.1.3. Risk zoning; 3.5.2. An example of risk zoning; 3.5.2.1 General presentation of the research area; 3.5.2.2. Knowing the risks; 3.5.2.3. Transfer diagnosis; 3.5.2.4. Risk management; 3.6. Risk zoning applications; 3.6.1. Risk knowledge applications; 3.6.2. Spatial planning applications; 3.6.3. Applications related to monitoring water quality; 3.7. Conclusion; 3.8. Bibliography Chapter 4. Cartographic Index and History of Road Sites that Face Natural Hazards in the Province of Turin |
| Record Nr. | UNINA-9910830246803321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Spatial management of risks / / edited by Gerard Brugnot
| Spatial management of risks / / edited by Gerard Brugnot |
| Pubbl/distr/stampa | London, : ISTE |
| Descrizione fisica | 1 online resource (274 p.) |
| Disciplina | 363.3401/1 |
| Altri autori (Persone) | BrugnotGérard |
| Collana | ISTE |
| Soggetto topico |
Human geography - Mathematical models
Environmental degradation - Mathematical models Environmental degradation - Statistical methods Geographic information systems |
| ISBN |
9786612165160
9781118623312 1118623312 9781282165168 128216516X 9780470611357 0470611359 9780470393963 0470393963 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Spatial Management of Risks; Table of Contents; Introduction; Chapter 1. From Prevention to Risk Management: Use of GIS; 1.1. Introduction; 1.2. GIS and public security; 1.3. Examples of applications for public security; 1.3.1. SIGASC application; 1.3.2. Application; 1.3.3. SIG CODIS application; 1.4. Prospects for development; 1.5. Conclusion; 1.6. Bibliography; Chapter 2. Coupled Use of Spatial Analysis and Fuzzy Arithmetic: Assessing the Vulnerability of a Watershed to Phytosanitary Products; 2.1. Introduction; 2.2. Construction of the index; 2.3. Implementation of fuzzy calculations
2.4. Application to the watershed of Vannetin: vulnerability to atrazine2.4.1. The research site; 2.4.2. Parameters of the watershed; 2.4.2.1. Pluviometry; 2.4.2.2. Anthropogenic sub-index; 2.4.2.3. Pedology; 2.4.2.4. Summary of data common to the entire watershed; 2.4.3. Cell parameters; 2.4.3.1. Geographic characteristics of the area; 2.4.3.2. Vegetation cover; 2.4.4. Fuzzy parameters; 2.4.5. Representation of the indicator and of its related inaccuracy; 2.5. Conclusion; 2.6. Bibliography; Chapter 3. Agricultural Non-Point Source Pollution; 3.1. Introduction 3.2. Mapping non-point source pollution phenomenon3.2.1. Mapping principles; 3.2.2. Description of the research phenomenon; 3.2.3. Mapping steps; 3.3. Territorial database building rules; 3.3.1. Choosing software programs; 3.3.2. Design of the implemented GIS; 3.3.3. Organizing and creating geographic information layers; 3.3.3.1. Implementation of a conceptual data model; 3.3.3.2. Digitization of paper-based document; 3.3.3.3. Digital data import; 3.3.3.4. Controlling the geographic data integrity; 3.3.4. Organizing and creating attribute tables; 3.3.4.1. Implementing a conceptual data model 3.3.4.2. Creating a data dictionary3.3.4.3. Thematic data processing or import; 3.3.4.4. Controlling the attribute data integrity; 3.4. The data sources used; 3.4.1. Identifying the available information; 3.4.2. Soil-related data; 3.4.2.1. Surface texture of the soils; 3.4.2.2. Soil hydromorphy; 3.4.2.3. Soil textural differentiation; 3.4.3. Topography-related data; 3.4.3.1. The slope; 3.4.3.2. Slope orientation; 3.4.4. Land use-related data; 3.4.5. Land planning-related data; 3.4.5.1. Hedges; 3.4.5.2. Ditches; 3.4.5.3. Agricultural land drainage; 3.5. Pollution risk zoning 3.5.1. Treatments to be performed3.5.1.1. Zoning of the potential for pollution; 3.5.1.2. Vulnerability zoning; 3.5.1.3. Risk zoning; 3.5.2. An example of risk zoning; 3.5.2.1 General presentation of the research area; 3.5.2.2. Knowing the risks; 3.5.2.3. Transfer diagnosis; 3.5.2.4. Risk management; 3.6. Risk zoning applications; 3.6.1. Risk knowledge applications; 3.6.2. Spatial planning applications; 3.6.3. Applications related to monitoring water quality; 3.7. Conclusion; 3.8. Bibliography Chapter 4. Cartographic Index and History of Road Sites that Face Natural Hazards in the Province of Turin |
| Record Nr. | UNINA-9911019369603321 |
| London, : ISTE | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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