1. Explains the clear role of geospatial data in managing pandemics. 2. Discusses Covid-19 and its relevance to location intelligence. 3. Includes a big population trajectory tracking and reasoning. 4. Analyses population behavior modeling and simulation, using location-based service. 5. Integrates community prevention, surveillance, and risk assessment.

Rapid urbanization has created an unprecedented pressure on the use of land in cities around the world, resulting in physical and legal complexities. This book explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of Building Information Modelling (BIM). The main focus is to adopt a BIM-based paradigm for enhancing communication and management of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data elements required for managing legal information in current land administration practices pertaining to subdivision of legal interests within multi-story building developments. It then explains how an open data model in the BIM domain - Industry Foundation Classes (IFC) - can be extended with legal data elements to lay the foundation for adopting BIM in urban land administration. The book also highlights benefits and barriers of implementing BIM-enabled urban land administration. Features Explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of BIM. Highlights the existing challenges associated with current practice of urban land administration for multi-story buildings. Introduces the potential of 3D digital environment of BIM for the purpose of mapping and registering legal interests. Describes how BIM-based data models can be extended for recording, managing, and representing legal ownership of properties over a building's lifecycle. Includes models of multi-story buildings as case studies to demonstrate the feasibility of extended BIM-based data models.

Expert perspectives on SDI theory and practice The spatial data infrastructure (SDI) concept continues to evolve and become an increasingly important element of the infrastructure that supports economic development, environmental management, and social stability. Because of its dynamic and complex nature, however, it remains a fuzzy concept to many, and depending on their needs and circumstances, practitioners, researchers, and governments adopt different views of it. Developing Spatial Data Infrastructures: from Concept to Reality makes a timely contribution to the theory and practice of SDIs and breaks new ground in improving understanding of their relevance and value. It provides expert overviews of policies, concepts, standards, and practices associated with the design, implementation, and operation of SDIs. It introduces the concept of an SDI Hierarchy based on Hierarchical Spatial Reasoning, sets out the similarities and differences between SDIs operating within and between different jurisdictions, and identifies factors key to the success of SDI initiatives. Built on key contributions to the International Symposium on Spatial Data Infrastructure held in Melbourne in November 2001, this book is the first of its kind to provide address both the theoretical and practical aspects of developing appropriate SDIs. It offers unique, detailed discussions on the challenges and direction of future SDI development and thus provides an outstanding resource for those involved in building and maintaining SDIs and for GIS professionals and students.

Contents:
Foreword
Acknowledgments
Contents
List of contributors
List of Figures
List of tables
List of abbreviations
List of Appendices
Preface

CHAPTER 1 SDIs
1.1 Introduction
1.2 Building Spatial Data Infrastructures
1.2.1 Building Human Capacity through Partnerships and Networks
1.2.2 Support Resources for Developing the People Developing SDIs
1.3 Strengthening Institutional Capacity
1.3.1 The Need for Capacity Building to Facilitate SDI Development.
1.3.2 The Role of Research in SDI Development.
1.4 Sustainable Development as a research driver
1.4.1 The Triple Bottom Line
1.4.2 Technology
1.5 SDI development into the future
1.6 Conclusion
1.7 References

CHAPTER 2 Spatial Data Infrastructures:Concept, Nature And SDI Hierarchy
2.1 Introduction
2.2 The Need for Spatial Data
2.2.1 Sharing Spatial Data
2.2.2 Spatial Data and Decision Support Systems
2.3 Spatial Data Infrastructure
2.3.1 SDI Nature and Characteristics
(a) Partnerships
(b) Different Views to Understanding and Development
(c) The Importance of People
(d) Dynamic Nature
2.3.2 Current SDI initiatives (Global, Regional, National, State, Local)
2.4 SDI Hierarchy
2.4.1 The Theory of Hierarchy
(a) Definition of Hierarchy
(b) Purpose and Levels of a Hierarchical Structure
2.4.2 Hierarchical Reasoning
(a) Principles of HSR
(b) Properties of Hierarchies
2.4.3 Different Views on SDI Hierarchy
2.5 Applying Hierarchy Theory on SDIs
2.5.1 Hierarchy Theory and An SDI Hierarchy
2.6 Relationships among Different SDIs
2.7 Conclusion

CHAPTER 3 Global Initiatives
3.1 Introduction
3.2 GSDI
3.2.1 History and Background
3.2.2 SDI Components and Organisational Model
3.2.3 SDI Current Status of Development
3.2.4 Issues and Challenges
3.2.5 Future Plans and Discussion
3.3 Global Map
3.3.1 Background
3.3.2 SDI Components and Organisational Model
(a) Institutional Arrangements
(b) Technical Standards
(c) Fundamental Data
3.3.3 SDI Current Status of Development
3.3.4 Issues and Challenges
3.3.5 Future Plans and Discussion
3.4 Other Multi-National Initiatives
3.5 Evaluation of Global Initiatives
3.6 Recommendations and Future Directions
3.7 References

CHAPTER 4 Regional SDIs
4.1 Introduction
4.2 European Umbrella Organisation For Geographic Information (EUROGI)
4.2.1 History and background
4.2.2. Current Status
4.2.3. Issues and Challenges
4.3 Permanent Committee On GIS Infrastructure For Asia And The Pacific (PCGIAP)
4.3.1 History and Background
4.2.1 Current Status of Development
(a) Institutional Framework
(b) Technical Standards
(c) Fundamental Datasets
(d) Access network
4.3.3 Issues and Challenges
4.3.4 Future Plans and Discussions
4.4 Permanent Committee On Spatial Data Infrastructure For The Americas (PCIDEA)
4.4.2 Current Status
4.4.3 Issues and Challenges
4.5 Comparative Evaluation
4.6 References

CHAPTER 5 Regional SDI Diffusion
5.1 Introduction
5.2 Asia and the Pacific region and Regional SDI activities: a case study
5.2.1 Current Progress of PCGIAP and APSDI development
5.3 SDI Diffusion
5.4 Influencing Factors for Regional SDI Diffusion
5.4.1 Environmental Factors
5.4.2 Capacity Factors
5.4.3 SDI Organisation Factors
5.5 SDI Development Models
5.6 Recommendations
5.6.1 Organisational Restructure
5.6.2 Redesign Future Strategy Based on Asia-Pacific Social System
5.6.3 Modify APSDI Conceptual Model
5.6.4 Adopting SDI Process-Based Model
5.7 Conclusion and Recommendations
5.8 References

CHAPTER 6 National SDI Initiatives
6.1 Introduction
6.2 Overview on National SDI
6.3 Role and Relationships within SDI Hierarchy
6.4 Current Situation
6.4.1 First Generation of National SDI Initiatives
a) Australia SDI
b) USA National SDI
6.4.2 Second Generation of National SDI Initiatives
a) National Geographic Information Infrastructure for Lebanon
b) Iranian National Spatial Data Infrastructure
6.4.3 Comparative Analysis
6.5 Recommendations and Future Directions
6.6 References

CHAPTER 7 State SDI Initiatives
7.1 Introduction
7.2 Spatial Information
8.4.1 ANZLIC
8.4.2 Public Sector Mapping Agencies
8.4.3 Spatial Information Industry Action Agenda
8.4.4 Australian Spatial Information Business Association
8.4.5 Spatial Sciences Coalition
8.4.6 Spatial Information Cooperative Research Centre
8.5 ASDI Implementation
8.5.1 Fundamental Datasets
8.5.2 Australian Spatial Data Directory (ASDD)
8.5.3 ASDI Clearinghouse Definition
8.5.4 Pricing Policy
8.6 Current Issues And Future Directions
8.7 References

CHAPTER 9 State SDI Development: A Victorian Perspective
9.1 Introduction
9.1.1 Administration of Spatial Information
9.1.2 Development of State SDI
9.1.3 Spatial Information for Victoria: Early Beginnings
9.2 Victoria's Strategy for building SDI
9.2.1 Framework Information
9.2.2 Key Business Information
9.2.3 Custody
9.2.4 Metadata
9.2.5 Access Infrastructure
9.2.6 Pricing and Licensing
9.2.7 Spatial Accuracy
9.2.8 Awareness
9.3 Role and Responsibility for Developing Victorian SDI
9.4 Building Blocks Of Victoria's SDI
9.4.1 Land Exchange
9.4.2 Property Information Project (PIP)
9.4.3 Rural Addressing
9.4.4 Online Service Delivery
9.4.5 Land Channel
9.4.6 Land Channel Sales
9.5 Role within the Australian SDI Development
9.5.1 Growing the Private Sector
9.5.2 Participation in Standards Development
9.5.3 Jurisdictional Linkages
9.6 Conclusion
9.7 References

CHAPTER 10 SDI Development: Roles of Local and Corporate SDIs
10.1 Introduction
10.1.1 The Concept of SDI
10.2 Local SDI Development at Geelong
10.2.1 History of Geelong SDI Development
10.2.2 Current Geelong SDI (components and organisation model)
10.2.3 Linkages of Greater Geelong SDI through corporate SDI
10.3 Corporate SDI in multi-level SDI development- the case of DNRE
10.3.1 Catchment and Water
10.3.2 Parks Flora and Fauna
10.3.3. Department wide effort
10.4 Some patterns of SDI development
10.4.1 Some good practices
10.4.2 Two scales of SDI development
10.5 Conclusions
10.6 References

CHAPTER 11 Sustainable Development, the Place for SDIs and the Case for E-Governance
11.1 Introduction
11.2 The Effect on Government
11.2.1 Participatory Administration
11.2.2 Social Capital
11.3 The Role for SDIs
11.4 The Case for E-Governance
11.5 Conclusion

CHAPTER 12 Spatial Data Infrastructures and Descision-Support
12.1 Introduction
12.2 Spatial Decision-Making
12.2.1 Decision Process
12.2.2 Decision Complexity
12.2.3 Participation in Decision-Making
12.2.4 Measuring Reach and Range for Decision Support
12.3 The Role of SDIs in Decision-Support
12.4 Institutional Frameworks to Support Decision-Making
12.4.1 People
12.4.2 Policies
12.4.3 Mechanisms
12.5 The Case for Decision-Enabled SDI
12.6 Conclusions
12.7 References

CHAPTER 13 Financing Spatial Data Infrastructure Development: Examining Alternative Funding Models
13.1 Introduction
13.2 The Economic issues of SDI implementation
13.3 The Concept of SDI Funding Models
13.3.1 Funding Models of the First Generation of SDIs
13.4 Alternative Funding Models
13.4.1 Infrastructure Classification
(a) Natural Monopoly
13.4.2 Funding Models for SDIs Classified as Classic Infrastructures/Natural Monopolies
13.4.3 Funding Models for SDIs Classified as Network Infrastructures
13.5 Customizing the Alternative Funding Models for Emerging Nations
13.6 Conclusion
13.7 References

CHAPTER 14 Developing Evaluation and Performance Indicators for SDIs
14.1 Introduction
14.2 Land Administration Systems and the Role of SDIs
14.3 Evaluation And A Framework For Evaluation
14.4 Evaluation of SDIs
14.5 Conclusions
14.6 References


CHAPTER 15 Administrative Boundary Design in Support of SDI Objectives
15.1 Introduction
15.2 A Definition of the Spatial Hierarchy Problem
15.2.1 The First Solution: surface modelling
15.2.2 The Second Solution: data interpolation
15.2.3 The Third Solution: derived boundaries
15.2.4 The Fourth Solution: re-aggregation
15.3 Administrative Boundaries within SDI
15.3.1 Access
15.3.2 People
15.3.3 Data
(a) Confidentiality
(b) The modifiable-area-unit problem (MAUP)
15.3.4 Technical standards
(a) Hierarchical spatial reasoning (HSR) applied to administrative boundaries
(b) The structure of administrative boundaries
15.3.5 Policy
15.3.6 Summary
15.4 Conclusion
15.5 References

CHAPTER 16 SDI and Location Based Wireless Applications
16.1 Introduction
16.2 SDI as a foundation for location based services
16.3 Augmenting the SDI Model
16.3.1 Access Network
16.3.2 Policies
16.3.3 Standards
16.3.4 Data
16.3.5 People
16.4 Framework to Facilitate Wireless Applications
16.4.1 SDI Requirements
16.4.2 User Environment
16.5 Case Study
16.5.1 Use Case Scenarios
16.6 Discussion, Recommendations and Future Directions
16.7 References

CHAPTER 17 SDI and Positional Accuracy
17.1 Introduction
17.2 SDI And Positional Accuracy
17.3 Some Definitions
17.3.1 Reference Systems and Reference Frames
17.3.2 Dynamic Reference Frames
17.3.3 Height Datums
17.3.4 Coordinate Systems
17.3.5 Error
17.3.6 Positional Accuracy
17.3.7 Precision
17.4 Spatial Data Referencing
17.5 Transforming between different reference frames
17.6 Measuring and Recording Positional ACCURACY
17.7 Case Study 1: The GEOcentric datum of Australia
17.8 Case Study 2: PCGIAP
17.9 Conclusions And Recommendations
17.10 References

CHAPTER 18 Future Direction for SDI Development
18.1 Introduction
18.2 SDI Development Issues
18.3 SDI Development Models
18.3.1 The Product and Process-based Models
18.3.2 Assessment of Current SDI Initiatives
18.4 Relationships between SDI Hierarchy and different Models of SDI Development
18.5 Conclusion and Recommendations
18.6 References

The Open Access version of this book, available at https://doi.org/10.4324/9780429290626, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives 4.0 license. Large-scale migration from rural to urban areas, and between countries, affects sustainable development at local, national, and regional levels. To strengthen urban and rural resilience to global challenges, Sustainable Development Goals Connectivity Dilemma: Land and Geospatial Information for Urban and Rural Resilience, brings together leading international geospatial experts to analyze the role of land and geospatial data infrastructures and services for achieving the United Nations' Sustainable Development Goals (SDGs). While the goals outlined in the 2030 Agenda have been longstanding aspirations worldwide, the complexity and connectivity between social, economic, environmental, and governance challenges are changing with large-scale urbanization and population growth. Structured in 5 parts, the themes and objectives of the book are in line with the critical challenges, gaps, and opportunities raised at all UN-GGIM events and UN-GGIM Academic Network forums. Through the different perspectives of scholars, industry actors, and policy-makers, this book provides interdisciplinary analysis and multisectoral expertise on the interconnection between the SDGs, geospatial information, and urban and rural resilience. Sustainable Development Goals Connectivity Dilemma: Land and Geospatial Information for Urban and Rural Resilience is an essential reference for researchers, industry professionals, and postgraduate students in fields such as geomatics, land administration, urban planning, GIS, and sustainable development. It will also prove a vital resource for environmental protection specialists, government practitioners, UN-GGIM delegates, and geospatial and land administration agencies. Features: Introduces a holistic and new approach to sustainable development Brings together social, economic, and environmental dimensions of sustainability Highlights the significance and the role of geospatial information in sustainable development Examines urban and rural interdependencies in the context of strengthening resilience Written by experts with diverse academic and professional backgrounds who examine connectivity and develop strategic pathways

Rapid urbanization has created an unprecedented pressure on the use of land in cities around the world, resulting in physical and legal complexities. This book explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of Building Information Modelling (BIM). The main focus is to adopt a BIM-based paradigm for enhancing communication and management of complex ownership rights in multi-story buildings, which are prevalent in urban built environments. This book first elaborates on a range of data elements required for managing legal information in current land administration practices pertaining to subdivision of legal interests within multi-story building developments. It then explains how an open data model in the BIM domain - Industry Foundation Classes (IFC) - can be extended with legal data elements to lay the foundation for adopting BIM in urban land administration. The book also highlights benefits and barriers of implementing BIM-enabled urban land administration. Features Explains the theoretical basis and practicality of connecting urban land administration practices with the 3D digital data environment of BIM. Highlights the existing challenges associated with current practice of urban land administration for multi-story buildings. Introduces the potential of 3D digital environment of BIM for the purpose of mapping and registering legal interests. Describes how BIM-based data models can be extended for recording, managing, and representing legal ownership of properties over a building's lifecycle. Includes models of multi-story buildings as case studies to demonstrate the feasibility of extended BIM-based data models.

This book offers a timely review of modern technologies for health, with a special emphasis on wireless and wearable technologies, GIS tools and machine learning methods for managing the impacts of pandemics. It describes new strategies for forecasting evolution of pandemics, optimizing contract tracing, and for detection and diagnosis of diseases, among others. Written by researchers and professionals with different backgrounds, this book offers a extensive information and a source of inspiration for physiologists, engineers, IT scientists and policy makers in the health and technology sector.