Developments in Geographic Information Technology have raised the expectations of users. A static map is no longer enough; there is now demand for a dynamic representation. Time is of great importance when operating on real world geographical phenomena, especially when these are dynamic. Researchers in the field of Temporal Geographical Information Systems (TGIS) have been developing methods of incorporating time into geographical information systems. Spatio-temporal analysis embodies spatial modelling, spatio-temporal modelling and spatial reasoning and data mining. Advances in Spatio-Temporal Analysis contributes to the field of spatio-temporal analysis, presenting innovative ideas and examples that reflect current progress and achievements.

This book contains papers presented at the 6th Global Workshop on Digital Soil Mapping, held 11-14 November 2014 at the Institute of Soil Science, Chinese Academy of Sciences of Nanjing, China. Digital soil mapping is advancing on different fronts at different paces throughout the world. The researches and applications on DSM are moving from method development to realizations in different scales and regions, serving the generation of national and continental to global soil grids. Meanwhile, new ideas and insights on mapping complex soil-landscapes such as flat plains,anthropogenically altered agriculture and urban spaces are emerging, with the help of new paradigms and models.The goal of the sixth workshop was to review and discuss the state of the art in digital soil mapping, and to explore strategies for bridging research, production, and environmental applications. This book provides a very useful and comprehensive overview of the status of digital soil mapping, in which graduate students, scientists and specialists working within the field of geography can find the spatial prediction approaches and related theory.

The International Scientific and Professional Conference on Geodesy, Cartography and Geoinformatics 2017 (GCG 2017) was organized under the auspices of the Faculty of Mining, Ecology, Process Control and Geotechnologies, Technical University of Kosice (SK), Pavol Jozef Safarik University in Kosice (SK), Faculty of Civil Engineering, STU Bratislava (SK), Faculty of Civil Engineering, CTU Prague (CZ), University of Technology, Kielce (PL), AGH University of Science and Technology, Krakow (PL), Upper Nitra Mines Prievidza, plc. (SK) and the Slovakian Mining Society (SK). The conference was held from October 10 - 13, 2017, in Low Tatras, Slovakia. The purpose of the conference was to provide a forum for prominent scientists, researchers and professionals from Slovakia, Poland and the Czech Republic to present novel and fundamental advances in the fields of geodesy, cartography and geoinformatics. Conference participants had the opportunity to exchange and share their experiences, research and results solved within scientific research projects with other colleagues. The conference focused on a wide spectrum of actual topics and subject areas in Surveying and Mine Surveying, Geodetic Control and Geodynamics, and Cartography and Geoinformatics and collected in this proceedings volume.

Remote sensing is a technology that engages electromagnetic sensors to measure and monitor changes in the earth's surface and atmosphere. Normally this is accomplished through the use of a satellite or aircraft. This book, in its 3rd edition, seamlessly connects the art and science of earth remote sensing with the latest interpretative tools and techniques of computer-aided image processing. Newly expanded and updated, this edition delivers more of the applied scientific theory and practical results that helped the previous editions earn wide acclaim and become classroom and industry standards. Dr. Schowengerdt presents an advanced unified framework and rationale that uniquely empowers the reader with the latest critical thinking skills and prerequisite knowledge needed to successfully design, develop and incorporate maintainable remote sensing solutions for real-world application. Advanced remote sensing image processing techniques such as hyperspectral image analysis, fusion of multisensor images and digital elevation model extraction from stereo imagery are discussed theoretically in terms of spectral, spatial, and geometric models. An expanded exercise section is also included at the end of each chapter allowing for the greatest level of mastery ever.
*Features a new lively discussion of the NASA EOS satellites, Terra and Aqua, and the commercial satellites IKONOS and Quickbird.
*New larger format provides additional access to 32 PAGE - FULL COLOR plate insert and improved readability
*Additional data processing algorithms help connect and enhance the collective understanding of engineering design and remotely sensed data

The result of a workshop bringing together an international advisory board of experts in science, satellite technologies, industry innovations, and public policy, this book addresses the current and future roles of satellite Earth observations in solving large-scale environmental problems. The book showcases the results of engaging distinct communities to enhance our ability to identify emerging problems and to administer international regimes created to solve them. It also reviews the work of the Policy and Earth Observation Innovation Cycle (PEOIC) project, an effort aimed at assessing the impact of satellite observations on environmental policy and to propose a mission going forward that would launch an "innovation cycle". The achievements of such a mission would feed back to innovations in next-generation observation technology, thus contributing to global policy demand for policy-relevant information. This book is open access under a CC BY license.

Radar scattering and imaging of rough surfaces is an active interdisciplinary area of research with many practical applications in fields such as mineral and resource exploration, ocean and physical oceanography, military and national defense, planetary exploration, city planning and land use, environmental science, and many more. By focusing on the most advanced analytical and numerical modeling and describing both forward and inverse modeling, Radar Scattering and Imaging of Rough Surfaces: Modeling and Applications with MATLAB (R) connects the scattering process to imaging techniques by vivid examples through numerical and experimental demonstrations and provides computer codes and practical uses. This book is unique in its simultaneous treatment of radar scattering and imaging. Key Features Bridges physical modeling with simulation for resolving radar imaging problems (the first comprehensive work to do so) Provides excellent basic and advanced information for microwave remote-sensing professionals in various fields of science and engineering Covers most advanced analytical and numerical modeling for both backscattering and bistatic scattering Includes MATLAB (R) codes useful not only for academics but also for radar engineers and scientists to develop tools applicable in different areas of earth studies Covering both the theoretical and the practical, Radar Scattering and Imaging of Rough Surfaces: Modeling and Applications with MATLAB (R) is an invaluable resource for professionals and students using remote sensing to study and explain the Earth and its processes. University and research institutes, electrical and radar engineers, remote-sensing image users, application software developers, students, and academics alike will benefit from this book. The author, Kun-Shan Chen, is an internationally known and respected engineer and scientist and an expert in the field of electromagnetic modeling.

The Routledge Companion to Spatial History explores the full range of ways in which GIS can be used to study the past, considering key questions such as what types of new knowledge can be developed solely as a consequence of using GIS and how effective GIS can be for different types of research. Global in scope and covering a broad range of subjects, the chapters in this volume discuss ways of turning sources into a GIS database, methods of analysing these databases, methods of visualising the results of the analyses, and approaches to interpreting analyses and visualisations. Chapter authors draw from a diverse collection of case studies from around the world, covering topics from state power in imperial China to the urban property market in nineteenth-century Rio de Janeiro, health and society in twentieth-century Britain and the demographic impact of the Second Battle of Ypres in 1915. Critically evaluating both the strengths and limitations of GIS and illustrated with over two hundred maps and figures, this volume is an essential resource for all students and scholars interested in the use of GIS and spatial analysis as a method of historical research.

This book offers an overview of geospatial technologies in land resources mapping, monitoring and management. It consists of four main sections: geospatial technologies - principles and applications; geospatial technologies in land resources mapping; geospatial technologies in land resources monitoring; and geospatial technologies in land resources management. Each part is divided into detailed chapters that include illustrations and tables. The authors, from leading institutes, such as the ICAR-NBSS&LUP, IIT-B, NRSC, ICRISAT, share their experiences and offer case studies to provide advanced insights into the field. It is a valuable resource for the scientific and the teaching community, extension scientists at research institutes and agricultural universities/colleges as well as those involved in planning and managing land resources for sustainable agriculture and livelihood security.

Radar polarimetry has been highly sought after for its use in the precise monitoring of Earth's surface. Polarimetric SAR Imaging explains the basic concepts of polarimetry and its diverse applications including: deforestation, tree classification, landslide detection, tsunamis, volcano eruptions and ash distribution, snow accumulation, rice field monitoring, urban area exploration, ship detection, among other applications. The explanations use actual data sets taken by Advanced Land Observing Satellite (ALOS and ALOS2). With the increasing problems presented by climate change, there is a growing need for detailed earth observation using polarimetric data. As the treatment of vector nature of radar waves is complex, there is a gap between the theory and the application. Polarimetric SAR Imaging: Theory and Applications addresses and fills this gap. Features: Provides cutting-edge polarimetric applications for earth observation with full color images. Includes detailed descriptions of theory, equations, expansions, and flowcharts, and numerous real examples. Explains concepts, data analysis, and applications in simple and clear language aimed at an intuitive comprehension. Provides specific and unique examples of PolSAR images derived from actual space and airborne systems (ALOS/ALOS2, PiSAR-x/L) Covers the wide range of the radar polarimetry, especially the decomposition of the polarimetry data, an original method developed by the author using the Japanese polarimetric SAR data Illustrated in full color using images generated by polarimetric techniques, this book is easy to understand and use for both student and expert, and is an excellent resource both in the classroom and in the field.

There have been major advances in technologies to support crisis response in the last few years. However, many aspects related to the efficient collection and integration of geo-information, applied semantics and situation awareness for disaster management are still open. To advance the systems and make them intelligent, an extensive collaboration is required between emergency responders, disaster managers, system designers and researchers. To facilitate this process the Geo-information for Disaster Management (Gi4DM) conference has been organized since 2005. Gi4DM is coordinated by the Joint Board of Geospatial Information Societies (JB GIS) and the ad-hoc Committee on Risk and Disaster Management. This volume presents the results of the Gi4DM 2012 conference, held in Enschede, the Netherlands, on 13-15 December . It contains a selection of around 30 scientific and 25 best-practice peer-reviewed papers. The 2012 Gi4DM focuses on the intelligent use of geo-information, semantics and situation awareness.

Drone Futures explores new paradigms in Unmanned Aircraft Systems (UAS) in landscape and urban design. UAS or drones can be deployed with direct application to the built environment; this book explores the myriad of contemporary and future possibilities of the design medium, its aesthetic, mapping agency, AI, mobility and contribution to smart cities. Drones present innovative possibilities, operating in a 'hover space' between human scales of landscape observation and light aircraft providing a unique resolution of space. This book shows how UAS can be utilised to provide new perspectives on spatial layout, landscape and urban conditions, data capture for construction monitoring and simulation of design proposals. Author Paul Cureton examines both the philosophical use of these tools and practical steps for implementation by designers. Illustrated in full colour throughout, Drone Futures discusses UAS and their connectivity to other design technologies and processes, including mapping and photogrammetry, AR/VR, drone AI and drones for construction and fabrication, new mobilities, smart cities and city information models (CIMs). It is specifically geared towards professionals seeking to understand UAS applications and future development and students seeking an understanding of the role of drones and airspace in the built environment and its powerful geographic imaginary. With international contributions, multidisciplinary sources and case studies, Drone Futures examines new powers of flight for visualising, interpreting and presenting landscapes and urban spaces of tomorrow.

Planning This book stems from a Research Project financed by the Italian Ministry of University and Scientific Research (MIUR) which has been carried out in the period 1999-2002. The Project, entitled Knowledge Engineering in Planning Process was aimed at developing Artificial Intelligent technologies in analysis, project and evaluation in territorial planning. This approach, which has recently been defined Geocomputation in the scientific literature, constitutes an emerging paradigm in territorial sciences. The final research results were presented in a workshop which took place in Milan in November 2001. In addition to the parties of the project, the meeting hosted speakers internationally well known as the cutting edge of researchers in the field. Among them: Mike Batty (Centre for Advanced Spatial Analysis (CASA)-UCL- London), Dino Borri (Polytechnic of Bari), Chris Webster (Cardiff University), Kai Nagel (Computer Science Institut- Zurich), Katerina Hlavackova-Schindler (Vienna University of Economic and Business Administration), Lena Sanders - CNRS, Paris, Paul Torrence CASA-UCL London. The book collects the proceedings of this concluding workshop.

This book gathers the proceedings of the 9th International Symposium "Information Fusion and Intelligent Geographic Information Systems 2019" (IF&IGIS'2019), which was held in St. Petersburg, Russia from May 22 to 24, 2019. The goal of the symposium was to provide a forum for exchange among leading international scholars in the fields of spatial data, information integration and Intelligent Geographic Information Systems (IGIS). The symposium was an opportunity to discuss sound and effective lines of modeling in the fusion of spatial data and information within the broader scope of intelligent GIS. The topics of the 2019 Symposium essentially fall into three broad categories of developments aimed at leveraging the power of spatial information, namely: artificial intelligence; algorithmic and computations processes; and data-informed simulation models. All papers collected here present compelling, cutting-edge research on cloud computing, deep learning, visual analytics, and large-scale optimization. They discuss information fusion and intelligent GIS research in the context of surface and sub-surface maritime activities, port asset management, land-based trip and travel planning, smart city and e-government, emergency management, and environmental monitoring. Given its scope, the book will be of interest to students, researchers and professionals working in GIS, remote sensing, and cloud computing.

Terrain modelling has been a well recognised topic for many years in the geo-sciences and it has found wide application, especially since the introduction of GIS.;Digital Terrain Modelling: Principles and Methodology is the only up-to-date book covering this range of topics. It provides comprehensive coverage of the field, starting from terrain analysis (using terrain descriptors), data sampling strategy, data acquisition technology, data quality control, theory and methodology for surface modelling, algorithms for triangulation formations, interpolation methods, models for the prediction of DTM accuracy, management of DTM data, multi-scale representation, contouring and other extraction of other features, as well as various applications.;The book treats the topic at a medium level of technical detail and is suitable for use as an MSc-level GIS textbook or for GIS researchers and professionals. Li; Zhilin Hong Kong Polytechnic University,Zhu; Qing Hong Kong Polytechnic Unv.,Gold; Chris The Hong Kong Polytechnic University, China,

Contents:
PART ONE
Chapter 1
1. Introduction
2. Expert Systems: what about space?
3. Geographical Information Systems: more than display tools?
4. GIS problems and potential
5. Impact Assessment: ripe for automation?
6. The IA process
7. Environmental Statements
8. Integration: the way ahead?
REFERENCES

Chapter 2
1. Introduction
2. Expert Systems and Artificial Intelligence
2.1.The classical period
2.2.The romantic period
2.3.The modern period
2. Expert systems: structure and design
3. The promise of Expert Systems?
4. From Expert Systems to Decision Support Systems
5. Conclusions: expert systems are dead, long live expert systems?
REFERENCES

Chapter 3
1. Introduction
2. Impact Assessment and Environmental Management
3. The role of GIS
4. GIS for Impact Assessment
4.1. GIS mapping for Impact Assessment
4.2. GIS linked to external models for IA
4.3. Using GIS' own functionality for IA
4.4. Multi-purpose GIS systems
5. Conclusions
REFERENCES

Chapter 4
1. Introduction
2. GIS for environmental mapping and management
3. GIS linked to external models for environmental management
3.1.Water modelling
3.2.GIS and other environmental modelling
3.3.GIS for model design and development
3.4.GIS and other modelling approaches
4. Using GIS' own functionality for environmental management
4.1.Pre-programmed GIS applications
5. General-purpose environmental management systems
6. Conclusions
REFERENCES

Chapter 5
1. Introduction
2. Expert Systems without GIS for Environmental Assessment
2.1.Expert Systems without GIS for Impact Assessment
2.2.Expert Systems without GIS for environmental management
3. Expert Systems with GIS
3.1.GIS and Expert Systems: methodological issues
3.1.1.Methodological issues: visualisation
3.1.2.Methodological issues: classification
3.2.GIS and Expert Systems in the Regional Research Laboratories
3.2.1.The RRLs Research Agenda
3.2.2.RRL-related work and publications
3.3.3.GIS and AI in the RRLs: conclusions
3.3.ES and GIS for Impact Assessment
3.4.ES and GIS for Environmental Management
4. Decision Support Systems (and ES) with GIS
4.1.GIS and DSS for Impact Assessment
4.2.GIS and DSS for Environmental Management
5. Conclusions
REFERENCES

PART TWO
Chapter 6
1. Introduction
2. The logic of Project Screening
3. The SCREEN Expert System at Oxford Brookes University
4. Scoping
5. The SCOPE Expert System at Oxford Brookes University
6. Adding GIS to the SCREEN-SCOPE suite at Oxford Brookes
6.1.Procedures linking ES and GIS
6.2.Evaluating the GIS links
7. Conclusions
REFERENCES

Chapter 7
1. Intrduction
2. Air Pollution
2.1.Project design and location
2.2.Baseline assessment
2.3.Impact prediction and assessment
2.3.1.Variations in the modelling approach
2.3.2.Model output and accuracy
2.4.Mitigation measures
3. Noise
3.1.Project design
3.2.Noise baseline assessment
3.3.Noise-impact prediction
3.3.1.Construction noise
3.3.2.Traffic noise
3.3.3.Vibration
3.3.4.Re-radiated noise
3.4.Mitigation
4. Conclusions: expert systems for air-pollution and noise impact assessment
REFERENCES

Chapter 8
1. Introduction
2. Terrestrial Ecology
2.1.Project characteristics and potential impacts
2.2.Area characterisation and ecological baseline
2.3.Quality assessment
2.4.Impact assessment
2.5.Mitigation
3. Landscape impact assessment
3.1.Project characteristics
3.2.Area of study
3.3.Preliminary landscape quality assessment
3.4.Field study and baseline assessment
3.5.Impact assessment
3.6.Mitigation
4. Conclusions: the limits of expert systems
REFERENCES

Chapter 9
1. Introduction
2. Socio-economic impacts
2.1.Understanding the project
2.2.Understanding the baseline
2.3.Economic impact prediction
2.3.1.The multiplicand
2.3.2.The multiplier
2.3.2.1.Location Quotients
2.4.Social impact prediction
2.5.Impact significance
2.6.Mitigation
3. Traffic impacts
3.1.The development project
3.2.Baseline study
3.3.Traffic generation
3.4.Impact assessment
3.4.1.Loop-back
3.5.Mitigation
4. Conclusions: expert systems and models, problems and choices
REFERENCES

Chapter 10
1. Introduction
2. The project
3. Hydrogeology: the baseline
3.1.Hydrogeological impacts
3.2.Hydrogeological mitigation and monitoring
4. Water quantity and quality: the baseline
4.1.Water quantity impacts
4.2.Water quality impacts
4.3.Water use impacts
4.4.Water impact mitigation
5. Freshwater ecology impact assessment: the baseline
5.1.Freshwater ecology impacts and mitigation
6. Coastal water ecology impact assessment: the baseline
6.1.Coastal water ecology impacts and mitigation
7. Conclusions: impact sequences
REFERENCES

Chapter 11
1. Meta-assessment: reviewing Environmental Statements
2. The building blocks of the assessment
3. Evaluation
3.1.Scoring individual aspects
3.2.Overall evaluation
4. Conclusions: expert systems for highly structured quantity-quality conversions
REFERENCES

Chapter 12
1. Expert Systems for Impact Assessment
2. Conclusions: the limits of Expert Systems and GIS
2.1.GIS and IA in retrospect
2.2.Expert Systems and IA in retrospect
3. Conclusions
REFERENCES

Sonic Detection and Ranging (SODAR) systems and Radio Acoustic Sounding Systems (RASS) use sound waves to determine wind speed, wind direction, and turbulent character of the atmosphere. They are increasingly used for environmental and scientific applications such as analyzing ground-level pollution dispersion and monitoring conditions affecting wind energy generation. However, until now there have been no reliable references on SODAR and RASS for practitioners in the field as well as non-experts who wish to understand and implement this technology to their own applications. Authored by an internationally known expert in the design and use of SODAR/RASS technology, Atmospheric Acoustic Remote Sensing: Principles and Applications systematically explains the underlying science, principles, and operational aspects of acoustic radars. Abundant diagrams and figures, including eight pages of full-color images, enhance clear guidelines and tools for handling calibration, error, equipment, hardware, sampling, and data analysis. The final chapter explores applications in environmental research, boundary layer research, wind power and loading, complex terrain, and sound speed profiles. Atmospheric Acoustic Remote Sensing offers SODAR and RASS users as well as general remote sensing practitioners, environmental scientists, and engineers a straightforward guide for using SODARs to perform wind measurements and data analysis for scientific, environmental, or alternative monitoring applications.

There has been an increasing demand in GIS for systems that support historical data: time-series data as well as mobility information. From a modelling perspective, there are advantages in integrating object-oriented analysis and design to databases as well as to visualisation capabilities of GIS. Object-Oriented Design for Temporal GIS explores the major components of the object-oriented analysis and design methods, how they can be used for modelling spatio-temporal data, and how these components are developed and maintained within a GIS. It also offers practical guidance to object-oriented methods by demonstrating the feasibility of applying such methods to issues involved in handling spatio-temporal data. The author demonstrates how this knowledge might be used in a wide range of applications such as political boundary record maintenance (historical data), disease incidence rate analysis in epidemics (diffusion rate), and environmental studies of climate change (time-series data). This understanding contributes to the development of theory in GIS and improves the design of GIS to support the modelling of semantics, space and time elements of geographical information.

To date, no one volume in the Innovations in GIS series has been given over to solely highlighting the use of up-to-date GIS-based techniques in a range of socio-economic applications. This monograph redresses this gap. The book begins with a short introductory chapter on the fundamental principles of GIS, followed by an examination of recent innovative research in the areas of crime applications, planning, urban and rural policy, and finally the use of GIS to examine various aspects of socio-economic policy. Socio-Economic Applications of Geographic Information Science is the ninth book in the series, based on contributions at the 2001 GIS Research UK conference, which continues to include innovative papers that are at the cutting edge of GIS research in the UK and beyond, and maintains a valued position in the conference calendar.

This text reflects the interdisciplinary nature of GIS research and includes coverage of such themes as: virtual GIS; spatial analysis; artificial intelligence; spatial agents and fuzzy systems; and space-time GIS and GIS applications.

A definitive description of the various models of mission operations systems MOS which provides an account of the design process and of the general principles of the designs themselves. The principles described can be applied to all types of scientific remote sensing.

In an age of unprecedented proliferation of data from disparate sources the urgency is to create efficient methodologies that can optimise data combinations and at the same time solve increasingly complex application problems. "Integration of GIS and Remote Sensing" explores the tremendous potential that lies along the interface between GIS and remote sensing for activating interoperable databases and instigating information interchange. It concentrates on the rigorous and meticulous aspects of analytical data matching and thematic compatibility - the true roots of all branches of GIS/remote sensing applications. However closer harmonization is tempered by numerous technical and institutional issues, including scale incompatibility, measurement disparities, and the inescapable notion that data from GIS and remote sensing essentially represent diametrically opposing conceptual views of reality.

The first part of the book defines and characterises GIS and remote sensing and presents the reader with an awareness of the many scale, taxonomical and analytical problems when attempting integration. The second part of the book moves on to demonstrate the benefits and costs of integration across a number of human and environmental applications.

This book is an invaluable reference for students and professionals dealing not only with GIS and remote sensing, but also computer science, civil engineering, environmental science and urban planning within the academic, governmental and commercial/business sectors.

Economists, geographers and surveyors are beginning to recognise the powerful tool which a Geographical Information System (GIS) offers in effective property management. It provides a means of managing land and property information digitally and in a geographical context, and allows for rapid access to information and a means of analysing that information in a geographical context.
GIS in Land and Property Management shows how to use GIS, both in principle and in practice. It introduces digital mapping and GIS, along with a brief history of the development of GIS and LIS, all with an emphasis on property. In presenting the spectrum of GIS applications in property management it gives a number of case studies from a variety of market sectors, and it analyses the issues to provide guidance and a number of recommendations for the implementation of GIS. At the same time common themes and issues are drawn out to present a coherent message for students and practitioners.
The book is useful for undergraduate and postgraduate students on land management, built environment, economics and geography courses, and for property professionals, in both public and private sectors, looking to GIS as a property management decision aid.

Economists, geographers and surveyors are beginning to recognise the powerful tool which a Geographical Information System (GIS) offers in effective property management. It provides a means of managing land and property information digitally and in a geographical context, and allows for rapid access to information and a means of analysing that information in a geographical context.
GIS in Land and Property Management shows how to use GIS, both in principle and in practice. It introduces digital mapping and GIS, along with a brief history of the development of GIS and LIS, all with an emphasis on property. In presenting the spectrum of GIS applications in property management it gives a number of case studies from a variety of market sectors, and it analyses the issues to provide guidance and a number of recommendations for the implementation of GIS. At the same time common themes and issues are drawn out to present a coherent message for students and practitioners.
The book is useful for undergraduate and postgraduate students on land management, built environment, economics and geography courses, and for property professionals, in both public and private sectors, looking to GIS as a property management decision aid.

3D GeoInfo aims to bring together international state-of-the-art research and facilitate the dialogue on emerging topics in the field of 3D geo-information. The conference offers an interdisciplinary forum in the fields of 3D data collection and modeling; reconstruction and methods for 3D representation; data management for maintenance of 3D geo-information or 3D data analysis and visualization. The book covers the best papers from 3D GeoInfo held in Istanbul in November 2013.

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