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[null,"1.","Record Nr.",null,"UNINA9910449803003321"]
[null,null,"Titolo",null,"La gestion de l'eau selon l'Islam [[electronic resource] /] / sous la direction de Naser I. Faruqui, Asit K. Biswas et Murad J. Bino"]
[null,null,"Pubbl/distr/stampa",null,"Paris, : Éditions Karthala ; Ottawa, : CRDI, c2003"]
[null,null,"ISBN",null,"1-280-71841-2"]
[{"$nulls":4},"9786610718412"]
[{"$nulls":4},"1-55250-324-0"]
[null,null,"Descrizione fisica",null,"1 online resource (208 p.)"]
[null,null,"Collana",null,"Economie et développement"]
[null,null,"Disciplina",null,"333.91/00956"]
[null,null,"Soggetti",null,"Water-supply - Middle East"]
[{"$nulls":4},"Water-supply - Africa, North"]
[{"$nulls":4},"Water - Religious aspects - Islam"]
[{"$nulls":4},"Water conservation - Middle East"]
[{"$nulls":4},"Water conservation - Africa, North"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Francese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Traduction de: Water management in Islam."]
[{"$nulls":4},"Diffusé par le Programme des Services de dépôt du Gouvernement du Canada."]
[null,null,null,"Nota di bibliografia","Includes index and bibliographical references."]
[null,null,"Nota di contenuto",null,"1. L'Islam et la gestion de l'eau : principes généraux; 2. La gestion de l'eau selon l'Islam et la Déclaration de Dublin; 3. L'Islam et l'environnement; 4. La conservation de l'eau selon l'Islam et Méditerranée orientale; 5. La conservation de l'eau par le biais des mosquées et des écoles religieuses au Pakistan; 6. La gestion de la demande en eau en Arabie Saoudite; 7. L'acceptabilité socioculturelle de la réutilisation des eaux usées en Palestine; 8. Les droits sur l'eau et le commerce de l'eau : le point de vue de l'Islam; 9. La propriété et le transfert de l'eau et des terres dans l'Islam"]
[{"$nulls":4},"10. Les marchés et la tarification de l'eau en Iran11. Les marchés intersectoriels de l'eau au Moyen-Orient et en Afrique du Nord; 12. La gestion des eaux transfrontalières : législations internationales et préceptes de l'Islam; Glossaire de la terminologie arabe et islamique; Abréviations; Les auteurs; Index;"]
[null,null,null,"Sommario/riassunto","Au Moyen-Orient et en Afrique du Nord, l'eau devient l'enjeu crucial du développement. La région est caractérisée par l'un des taux moyens de croissance démographique les plus élevés du monde et par des "]
[{"$nulls":4},"ressources en eau peu abondantes. Dans cette région et dans d'autres, les responsables des politiques ont souvent proposé, voire tenté de mettre en œuvre, des politiques de gestion de la demande en eau, par exemple des tarifs plus élevés ou la privatisation, sans prendre en compte la culture et les valeurs locales. Pourtant, la culture, largement marquée par la religion, influence manifestement"]
[null,"2.","Record Nr.",null,"UNINA9910741137603321"]
[null,null,"Titolo",null,"New thinking in GIScience / / Bin Li [and four others], editors"]
[null,null,"Pubbl/distr/stampa",null,"Singapore : , : Springer : , : Higher Education Press, , [2022]"]
[{"$nulls":4},"©2022"]
[null,null,"ISBN",null,"981-19-3816-4"]
[null,null,"Descrizione fisica",null,"1 online resource (379 pages)"]
[null,null,"Disciplina",null,"910.285"]
[null,null,"Soggetti",null,"Geographic information systems"]
[{"$nulls":4},"Geographic information systems - Research"]
[{"$nulls":4},"Public health"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Contents -- 1 From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science -- 1.1 Introduction -- 1.2 Geographic Representation -- 1.3 Geocomputation -- 1.4 Concluding Remarks -- References -- 2 On Holo-spatial Information System -- 2.1 Introduction -- 2.2 The Concept of Holo-spatial Information System -- 2.3 Object-Oriented Modeling for HSIS -- 2.4 Information Management Framework of HSIS -- 2.5 Conclusion and Discussion -- References -- 3 The Virtual Geographic Environments: More than the Digital Twin of the Physical Geographical Environments -- 3.1 Introduction -- 3.2 Virtual Geographic Environments -- 3.2.1 The Definition and Concepts of Virtual Geographic Environments -- 3.2.2 The Evolution of Virtual Geographic Environments -- 3.2.3 Features of Virtual Geographic Environments -- 3.3 Digital Twins -- 3.3.1 Concepts and Definitions of Digital Twin -- 3.3.2 Characteristics of Digital Twins -- 3.4 Discussion -- 3.5 Conclusions -- References -- 4 Big Remote Sensing Data as Curves -- 4.1 Introduction -- 4.2 Traditional Perceptions of Big Remote Sensing Data -- 4.3 Novel Perceptions of Big Remote Sensing Data -- 4.4 New Thinking of Big Remote Sensing Data and New Theoretic Frame for Data Processing and Fusion -- 4.5 Conclusions -- References -- 5 GIScience from Viewpoint of Information Science -- 5.1 Introduction -- 5.2 GIScience in Its Current Definitions -- 5.3 GIScience from the Viewpoint of Information Science -- 5.4 GIScience as a Branch of Information Science -- 5.5 Outlook -- References -- 6 Towards "]
[{"$nulls":4},"Place-Based GIS -- 6.1 Introduction -- 6.2 Building Blocks Towards Place-Based GIS -- 6.2.1 Platial Data and Characteristics -- 6.2.2 Representation and Computational Models of Place -- 6.2.3 Platial Analysis and Visualization -- 6.3 Conclusion -- References."]
[{"$nulls":4},"7 The Bottom-Up Approach and De-mapping Direction of GIS -- 7.1 Introduction -- 7.2 Motivation and Facilitation for GIS to Incorporate Bottom-Up Methods -- 7.3 Examples of Bottom-Up Methods -- 7.4 Concluding Remarks -- References -- 8 The Geography of Geography -- 8.1 The Questions -- 8.2 The Exploration -- 8.2.1 The Data -- 8.2.2 The Findings -- 8.3 The Future -- References -- 9 Classification and Description of Geographic Information: A Comprehensive Expression Framework -- 9.1 Introduction -- 9.2 The Connotation of Geographic Information -- 9.2.1 Overall Framework -- 9.2.2 Information Elements for Ternary Space -- 9.2.3 Seven Dimensions for Geographical Information Description -- 9.3 Example of the New Geographic Information Description -- 9.4 Conclusion -- References -- 10 On the Third Law of Geography -- 10.1 About Laws of Geography -- 10.2 The Third Law of Geography -- 10.3 Issues to Address -- 10.4 Summary -- References -- 11 Human Mobility and the Neighborhood Effect Averaging Problem (NEAP) -- 11.1 Introduction -- 11.2 The Neighborhood Effect Averaging Problem -- 11.3 Recent Studies on the NEAP -- 11.4 Implications of the NEAP -- References -- 12 How to Form and Answer the So What Question in GIScience -- 12.1 Introduction -- 12.2 The \"So What\" Question in Education, Medical Research and Geography -- 12.2.1 The Relevance in Technology Education -- 12.2.2 The PICOT Format in Medical Research -- 12.2.3 The WWO Format in Geography -- 12.3 The WWHO or the \"Gazing on the Peak\" Format in GIScience -- 12.4 Conclusion -- References -- 13 Prospects on Causal Inferences in GIS -- 13.1 Introduction -- 13.2 Causal Inference Is Not New -- 13.3 Spatial Statistical Causal Inference Is New -- 13.4 Relevance to GIS -- 13.5 Conclusions -- References -- 14 Bayesian Methods for Geospatial Data Analysis -- 14.1 Introduction -- 14.2 Bayesian Inference."]
[{"$nulls":4},"14.3 Applications of Bayesian Models in Geospatial Problems -- 14.3.1 Bayesian Spatial Interpolation -- 14.3.2 Bayesian Models for Disease Mapping, Risk Estimate, and Prediction -- 14.3.3 Bayesian Hierarchical Models -- 14.3.4 Bayesian Spatial Autoregressive Models -- 14.4 Bayesian Implementation -- 14.5 Some Concluding Thoughts -- References -- 15 GIS Software Product Development Challenges in the Era of Cloud Computing -- 15.1 Introduction -- 15.2 Challenges to Developing GIS Software as SaaS -- 15.2.1 Agile Development Philosophy and Microservice Architecture -- 15.2.2 Security -- 15.2.3 Continuous Integration/Continuous Delivery (CI/CD) -- 15.2.4 Shift-Left Testing, Testing Automation and Chaos Engineering -- 15.2.5 Integration with Existing Systems -- 15.2.6 Big Data Stores -- 15.2.7 Big Data Processing and GPU Database -- 15.2.8 Production System Monitoring -- 15.2.9 Integration of GeoAI and Machine Learning -- 15.2.10 Open-Source Strategy -- 15.2.11 Geospatial Functionality Development -- 15.2.12 Development Team Building -- 15.3 Concluding Remarks -- References -- 16 Spatial Thinking of Computational Intensity in the Era of CyberGIS -- 16.1 Introduction -- 16.2 Computational Intensity Map -- 16.3 Summary -- References -- 17 GeoAI and the Future of Spatial Analytics -- 17.1 Challenges in Spatial Analytics -- 17.1.1 The Size Challenge of Big Data -- 17.1.2 Navigating Through the Messiness of Big Data -- 17.1.3 Hypothesis Test Versus Knowledge Mining -- 17.2 GeoAI: A New Form of Spatial Analytics -- 17.3 Concluding Remarks -- References -- 18 Deep Learning of Big Geospatial Data: Challenges and Opportunities -- 18.1 "]
[{"$nulls":4},"Introduction -- 18.2 Challenges in Geospatial Analysis of Big Geospatial Data -- 18.2.1 Complex Geospatial Patterns -- 18.2.2 Heterogeneous Data Sources -- 18.2.3 Geospatial Uncertainty -- 18.3 The Promises of Deep Learning."]
[{"$nulls":4},"18.4 Discussions -- References -- 19 Towards Domain-Knowledge-Based Intelligent Geographical Modeling -- 19.1 Complexity in Geographical Modeling -- 19.2 Intelligent Geographical Modeling -- 19.3 Domain Knowledge and Operation of Intelligent Geographical Modeling -- 19.4 How to Realize Intelligent Geographical Modeling? -- 19.5 Potential Contributions to AI -- 19.6 Concluding Remarks -- References -- 20 Mitigating Spatial Bias in Volunteered Geographic Information for Spatial Modeling and Prediction -- 20.1 Introduction -- 20.2 Spatial Bias in VGI -- 20.3 A Representativeness-Directed Approach to Bias Mitigation -- 20.3.1 Measuring Sample Representativeness -- 20.3.2 Representativeness-Directed Bias Mitigation -- 20.4 Applications -- 20.5 Outlook on Future Research -- References -- 21 Dealing with Unstructured Geospatial Data -- 21.1 Introduction -- 21.2 Characteristics of the Unstructured Geospatial Data -- 21.3 Technologies and Challenges of Unstructured Geospatial Data -- 21.4 Conclusion -- References -- 22 Green Cartography and Energy-Aware Maps: Possible Research Opportunities -- 22.1 Introduction -- 22.2 Should Digital Maps Be Energy-Aware? -- 22.2.1 Map Content with Energy Consumption -- 22.2.2 Map Form with Energy Consumption -- 22.3 Possible Research Opportunities of Digital Maps Being Energy-Aware -- 22.3.1 Making Energy-Aware Maps -- 22.3.2 Using Energy-Aware Maps -- 22.4 Summary -- References -- 23 Next Step in Vegetation Remote Sensing: Synergetic Retrievals of Canopy Structural and Leaf Biochemical Parameters -- 23.1 Introduction -- 23.2 Synergetic Retrievals of Both Canopy Structural and Leaf Biochemical Parameters -- 23.2.1 Major Issues in LAI Retrieval -- 23.2.2 Major Issues in LCC Retrieval -- 23.2.3 Synergetic Retrievals of LAI and LCC."]
[{"$nulls":4},"23.3 Tradeoff of Canopy Structural and Leaf Biochemical Parameters in Terrestrial Ecosystem Models -- 23.4 Summary -- References -- 24 LiDAR Remote Sensing of Forest Ecosystems: Applications and Prospects -- 24.1 Introduction -- 24.2 Evolution of 3D Forest Observation -- 24.3 Beyond 3D: New Spectrum of LiDAR Applications in Forest Ecosystem Studies -- 24.3.1 Application of LiDAR Structural, Temporal, and Spectral Information in Forest Ecosystem Studies -- 24.3.2 Linking the Forest Structure Information with Radiative Transfer Models and Ecological Processes -- 24.4 Prospects for LiDAR Remote Sensing of Forest Ecosystems -- 24.5 Conclusions -- References -- 25 Dense Satellite Image Time Series Analysis: Opportunities, Challenges, and Future Directions -- 25.1 Introduction -- 25.2 Opportunities for Developing Dense Time-Series Remote Sensing -- 25.2.1 New Data Sources -- 25.2.2 Stronger Capability of Data Processing -- 25.2.3 New Applications -- 25.3 Challenges of Dense SITS Analysis -- 25.3.1 Data Quality Control -- 25.3.2 Data Analysis Techniques -- 25.3.3 Cloud Impact -- 25.4 Future Directions -- 25.4.1 Data Fusion to Reconstruct High-Quality Time Series -- 25.4.2 Modeling Spatial-Temporal Information -- 25.4.3 Development of Analysis-Ready Data and User-Friendly Tools -- 25.5 Conclusion -- References -- 26 Digital Earth: From Earth Observations to Analytical Solutions -- 26.1 Introduction -- 26.2 Remote Sensing: A Long Path of Earth Observations -- 26.3 Social Sensing: VGI Collection and Dissemination -- 26.4 Digital Earth: An Integrated Analytical Solution -- 26.5 Conclusion -- References -- 27 Spatial-Temporal Big Data Enables Social Governance -- 27.1 Introduction -- 27.2 Current Situation "]
[{"$nulls":4},"of Social Governance -- 27.2.1 Why Social Governance Needs GIS? -- 27.2.2 Problems and Challenges in Social Governance."]
[{"$nulls":4},"27.2.3 New Ways and Exploration of GIS for Social Governance."]