Four unique pan-European CORINE Land Cover datasets-CLC1990, CLC2000, CLC2006, and CLC2012- and three datasets concerning changes between 1990 and 2012 have presented the first-ever opportunity to observe the European landscape by means of land cover and its change. This book brings together all these datasets to demonstrate the methods of identification, analysis and assessment of the European land cover and its changes that took place during the intervals of 1990-2000, 2000-2006, and 2006-2012. It provides examples in which CLC data plays a role in offering solutions to European environmental problems such as the monitoring of urban dynamics, land fragmentation, ecosystems mapping and assessment, and high nature value farmland characteristics. Existing environmental problems require new approaches, and European Landscape Dynamics: CORINE Land Cover Data indicates a set of outlooks for CLC data generation that produce more detailed levels of analysis and bottom-up approaches while addressing the relationship of CLC data to the Infrastructure for Spatial Information in Europe (INSPIRE). It also discusses the future of CLC data generation. A valuable resource of up-to-date information, it is useful to professionals such as scientists, territorial planners, and environmentalists as well as students of geosciences and all those who are interested in cognition of the European landscape, its changes and development.

Now that the health community is in a state of reflection, how do we put the lessons learned into practice? As we step back to examine the worldwide response to the COVID-19 pandemic, now is the time to think about how to raise the bar for our response to the next public health emergency. Now is the time to revisit health preparedness strategies and plans. And now is the time to review what the health community did that worked-and how we can do that again. Learning from COVID-19: GIS for Pandemics tells real-life stories about how spatial thinking became invaluable in both local and full-scale outbreaks during the COVID-19 pandemic. Needing to answer the question of "where" sat at the forefront of everyone's mind, and using a geographic information system (GIS) for real-time surveillance transformed possibly overwhelming data into location intelligence that provided agencies and civic leaders with valuable insights. Co-edited by Esri chief medical officer Dr. Este Geraghty, this book highlights best practices, key GIS capabilities, and lessons learned during the COVID-19 response that can help communities prepare for the next crisis. GIS has empowered: Organizations to use human mobility data to estimate the adherence to social distancing guidelines Communities to monitor their health care systems' capacity through spatially enabled surge tools Governments to use location-allocation methods to site new resources (i.e., testing sites and augmented care sites) in ways that account for at-risk and vulnerable populations Communities to use maps and spatial analysis to review case trends at local levels to support reopening of economies Organizations to think spatially as they consider "back-to-the-workplace" plans that account for physical distancing and employee safety needs Learning from COVID-19 also includes a "next steps" section that provides ideas, strategies, tools, and actions to help jump-start your own use of GIS, either as a citizen scientist or a health professional. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Now is the time to use science and data to make informed decisions for our future, and this book shows us how we can do it.

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.

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,

Designed to be a high-level, approachable resource for engineers who need further insight into spatial temporal information systems from an ontological perspective, Spatial Temporal Information Systems: An Ontological Approach using STK (R) explains the dynamics of objects interaction from signal analysis to trajectory design, spatial modeling, and other spatial analytics by using STK (R), which is a general-purpose modeling and analysis application for any type of space, defense, or intelligence system. Building a foundation to begin the study of spatial temporal information systems, the book details a form of analysis that is a powerful tool for modeling, engineering, and operations of space, cyberspace, satellites, missile defense, and electronic systems. It discusses the many applications of space technologies by using a mission-proven software for timely and cost-effective development that serves public interests in civil, commercial, academic, national, and international space communities. Written for readers with a background in physics or engineering, the book is also designed for the beginning analyst sitting behind a desk who needs more information on STK. Upon reading this book, STK new users and power users will not only understand what the tools are, but also how the software can be used to make their job easier. In addition, satellite operators and analysts benefit from the ability to utilize a variety of propagators satellite applications. Analytics, semi-analytic and numerical integrators are discussed, including Keplerian orbital elements and full numerical integration of STK's High Precision Orbit Propagation or simplified as a two-body analysis. This tool, as well as this book, will bring breadth and depth to the understanding of systems dynamics and the ontology of objects in relationship to other objects and vehicles including central bodies.

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.

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

While a culture may have a dominant way of 'mapping', its geography is always plural, not singular, and there is always competition among conceptions of space. Beginning with this understanding, this book traces the map's early development into an emblem of the state, and charts the social and cultural implications of this phenomenon.
Instead of presenting a sequence of medieval mapping metaphors, Daniel Birkholz offers an account of the ways in which medieval cartographic discourse itself produces its artefacts, and so produces cultural meaning. This book chronicles the specific technologies, material and epistemological, by which the map - a peculiar artefact, part image and part treatise - shows itself capable of accessing, organizing and reorienting a tremendous range of information.

Remote Sensing plays a key role in monitoring the various manifestations of global climate change. It is used routinely in the assessment and mapping of biodiversity over large areas, in the monitoring of changes to the physical environment, in assessing threats to various components of natural systems, and in the identification of priority areas for conservation.

This book presents the fundamentals of remote sensing technology, but rather than containing lengthy explanations of sensor specifications and operation, it concentrates instead on the application of the technology to key environmental systems. Each system forms the basis of a separate chapter, and each is illustrated by real world case studies and examples.

Readership

The book is intended for advanced undergraduate and graduate students in earth science, environmental science, or physical geography taking a course in environmental remote sensing. It will also be an invaluable reference for environmental scientists and managers who require an overview of the use of remote sensing in monitoring and mapping environmental change at regional and global scales.

Additional resources for this book can be found at: http: //www.wiley.com/go/purkis/remote.

Contents:
Part1. Introduction 1. Maps and Worlds Part 2. Deconstructing the Map 2. What Do Maps Represent? The Crisis of Representation and the Critique of Cartographic Reason 3. Situated pragmatics: Maps and Mapping as Social Practice Part 3. The Over-Coded World: A Genealogy of Modern Mapping 4. The Cartographic Gaze, Global Visions, and Modalities of Visual Culture 5. Cadasters and Capitalism: The Emergence of a New Map Consciousness 6. Mapping the Geo-Body: State, Territory, and Nation 7. Commodity and Control: Technologies of the Social Body Part 4. Investing Bodies in Depth 8. Cyber-Empires: Cartographic Reason and the Technological Sublime in a Digital Age Part 5. Conclusion 9. Counter-Mappings: Cartographic Reason in the Age of Intelligent Machines and Smart Bombs

New urban applications are emerging for remote sensing, in particular with the use of high-resolution data for measuring, monitoring and analysis. This comes through the use of high spatial resolution imaging, such as for precision mapping of cities; new techniques for population mapping; extracting urban land use features, and evaluating the city energy patterns; and through the use of night-time imagery for determining populations and economic activity, particularly on a global scale. Remotely Sensed Cities helps to redress the balance with remote sensing books, most of which are dedicated to the physical environment. It is designed for upper-level undergraduate and graduate students, along with research scientists and brings together a good deal of topical work applying remote sensing to the understanding of urban features, their behavior and growth.

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.

Land degradation and desertification are amongst the most severe threats to human welfare and the environment, as they affect the livelihoods of some 2 billion people in the world's drylands, and they are directly connected to pressing global environmental problems, such as the loss of biological diversity or global climate change. Strategies to combat these processes and mitigate their effects at the land-management and policy level require spatially explicit, up-to-date information, which can be provided based on remote sensing data and using geoinformation processing techniques.Recent Advances in Remote Sensing and Geoinformation Processing for Land Degradation Assessment introduces the current state of the art in this field and provides an overview of both conceptual and technological advances of the recent past. With a specific focus on desertification and land degradation, the volume covers the assessment of related biophysical indicators, as well as complementary qualitative information at different spatial and temporal scales. It is shown how remote sensing data may be utilized in the context of assessing and monitoring affected ecosystems and how this information may be assimilated into integrated interpretation and modelling concepts. In addition, different case studies are provided to demonstrate the implementation of these methods in the frame of different local settings.The volume will be of interest to scientists and students working at the interface of ecosystem services, land degradation/desertification, spatial ecology, remote sensing and spatial modelling, as well as to land managers and policy makers.

This book contains a selection of refereed papers presented at the 6 Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment held in Florence, Italy on March 15-18, 1999. Over the last two decades, passive microwave remote sensing has made considerable progress, and has achieved significant results in the study of the Earth's surface and atmosphere. Many years of observations with ground-based and satellite-borne sensors have made an important contribution to improving our knowledge of many geophysical processes of the Earth's environment and of global changes. The evolution in microwave radiometers aboard satellites has increased steadily over recent years. At the same time, many investigations have been carried out both to improve the algorithms for the retrieval of geophysical parameters and to develop new technologies. The book is divided into four main sections: three of these are devoted to the observation of the Earth's surface and atmosphere, and the fourth, to future missions and new technologies. The first section deals with the study of sea and land surfaces, and reports recent advances in remote sensing of ocean wind, sea ice, soil moisture and vegetation biomass, including electromagnetic modelling and the assimilation of radiometric data in models of land surface processes. The following two sections are devoted to the measurement of atmospheric quantities which are of fundamental importance in climatology and meteorology, and, since they influence radio-wave propagation, they also impact on several other fields, including geodesy, navigational satellite and radioastronomy. The last section presents an overview of new technologies and plans for future missions.

A synthesis of more than ten years of experience, Remote Sensing Image Fusion covers methods specifically designed for remote sensing imagery. The authors supply a comprehensive classification system and rigorous mathematical description of advanced and state-of-the-art methods for pansharpening of multispectral images, fusion of hyperspectral and panchromatic images, and fusion of data from heterogeneous sensors such as optical and synthetic aperture radar (SAR) images and integration of thermal and visible/near-infrared images. They also explore new trends of signal/image processing, such as compressive sensing and sparse signal representations. The book brings a new perspective to a multidisciplinary research field that is becoming increasingly articulate and comprehensive. It fosters signal/image processing methodologies toward the goal of information extraction, either by humans or by machines, from remotely sensed images. The authors explain how relatively simple processing methods tailored to the specific features of the images may be winning in terms of reliable performance over more complex algorithms based on mathematical theories and models unconstrained from the physical behaviors of the instruments. Ultimately, the book covers the births and developments of three generations of RS image fusion. Established textbooks are mainly concerned with the earliest generation of methods. This book focuses on second generation methods you can use now and new trends that may become third generation methods. Only the lessons learned with second generation methods will be capable of fostering the excellence among the myriad of methods that are proposed almost every day by the scientific literature.

Driven by the societal needs and improvement in sensor technology and image processing techniques, remote sensing has become an essential geospatial tool for understanding the Earth and managing Human-Earth interactions. Remote Sensing for Sustainability introduces the current state of the art remote sensing knowledge integral for monitoring the world's natural resources and environments, managing exposure to natural disasters and man-made risks, and helping understand the sustainability and productivity of natural ecosystems. Bridging the gap between remote sensing and sustainability science this book examines theories and methods as well as practical applications of sustainable development for cities using remote sensing; focuses on remote sensing methods and techniques for sustainable natural resources with emphasize on forests; answers questions on how and what the remote sensing methods and techniques can do for the sustainability of environmental systems; and examines the issues of energy use and sustainable energy sources using remote sensing technology in countries such as Germany, China, the U.S, drawing on case studies to demonstrate the applicability of remote sensing techniques. This comprehensive guide, which can serve to professors, researchers, and students alike, takes in consideration the United Nations set of sustainable development goals and intends to contribute to the GEO's Strategic Plan by addressing and exemplifying a number of societal benefit areas of remote sensing data sets, methods, and techniques for sustainable development.

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.

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.

Land use and land cover changes associated with increased urbanization have led to landscape and environmental changes throughout the world. Remote Sensing Applications for the Urban Environment places emphasis on the rapid development of worldwide urbanization and its impact on the environment, and reviews the assessment of urban land cover conditions using remote sensing data. The book examines current satellite observation capacities, the use of remote sensing data to characterize urban extent and urban land cover, and the applications of satellite-derived data for urban environment assessments. It also introduces cutting-edge assessment methods and remote sensing techniques for characterizing high-resolution imagery of urban areas in different ecological environments. Focuses on the latest progress in urban remote sensing and technologies used to monitor urban land use and land cover conditions Introduces several methods used to extract urban landscape features using high-resolution imagery Details the methods currently used for assessing urban vegetation, impervious surface, and urban land use and land cover conditions Describes how to use multi-temple satellite images to monitor urban growth around the world An up-to-date reference reflecting the state of the art in both remote sensing and the environmental assessment of urban areas, Remote Sensing Applications for the Urban Environment summarizes current satellite observing capacities and the growing demand for consistent and continuous local, regional, and global observation data by different government agencies throughout the world. This book serves academic faculties, students, researchers, and government decision makers.

A STUNNINGLY ILLUSTRATED BOOK REVEALING THE GREATEST MYTHS, LIES AND BLUNDERS ON MAPS 'Highly recommended' - Andrew Marr 'A spectacular, enjoyable and eye-opening read' - Jonathan Ross The Phantom Atlas is an atlas of the world not as it ever existed, but as it was thought to be. These marvellous and mysterious phantoms - non-existent islands, invented mountain ranges, mythical civilisations and other fictitious geography - were all at various times presented as facts on maps and atlases. This book is a collection of striking antique maps that display the most erroneous cartography, with each illustration accompanied by the story behind it. Exploration, map-making and mythology are all brought together to create a colourful tapestry of monsters, heroes and volcanoes; swindlers, mirages and murderers. Sometimes the stories are almost impossible to believe, and remarkably, some of the errors were still on display in maps published in the 21st century. Throughout much of the 19th century more than 40 different mapmakers included the Mountains of Kong, a huge range of peaks stretching across the entire continent of Africa, in their maps - but it was only in 1889 when Louis Gustave Binger revealed the whole thing to be a fake. For centuries, explorers who headed to Patagonia returned with tales of the giants they had met who lived there, some nine feet tall. Then there was Gregor MacGregor, a Scottish explorer who returned to London to sell shares in a land he had discovered in South America. He had been appointed the Cazique of Poyais, and bestowed with many honours by the local king of this unspoiled paradise. Now he was offering others the chance to join him and make their fortune there, too - once they had paid him a bargain fee for their passage... The Phantom Atlas is a beautifully produced volume, packed with stunning maps and drawingsof places and people that never existed. The remarkable stories behind them all are brilliantly told by Edward Brooke-Hitching in a book that will appeal to cartophiles everywhere.

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

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.

China Satellite Navigation Conference (CSNC 2020) Proceedings presents selected research papers from CSNC 2020 held during 22nd-25th November in Chengdu, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 13 topics to match the corresponding sessions in CSNC2020, which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.

As research in the geosciences and social sciences becomes increasingly dependent on computers, applications such as geographical information systems are becoming indispensable tools. But the digital representations of phenomena that these systems require are often of poor quality, leading to inaccurate results, uncertainty, error propagation, and potentially legal liability. Spatial data quality has become an essential research topic within geographical information science.
This book covers many of the cutting-edge research issues related to spatial data quality, including measurement in GIS and geostatistics, the modeling of spatial objects that have inherent uncertainty, spatial data quality control, quality management, communicating uncertainty and resolution, reasoning and decision-making, visualization of uncertainty and error metadata. It will be of interest to anyone undertaking research using GIS and related technologies.

eBook available with sample pages: 0203303245

In this book, Claire Reddleman introduces her theoretical innovation "cartographic abstraction" - a material modality of thought and experience that is produced through cartographic techniques of depiction. Reddleman closely engages with selected artworks (by contemporary artists such as Joyce Kozloff, Layla Curtis, and Bill Fontana) and theories in each chapter. Reconfiguring the Foucauldian underpinning of critical cartography towards a materialist theory of abstraction, cartographic viewpoints are theorised as concrete abstractions. This research is positioned at the intersection of art theory, critical cartography and materialist philosophy.