Now ubiquitous in modern life, spatial data present great opportunities to transform many of the processes on which we base our everyday lives. However, not only do these data depend on the scale of measurement, but also handling these data (e.g., to make suitable maps) requires that we account for the scale of measurement explicitly. Scale in Spatial Information and Analysis describes the scales of measurement and scales of spatial variation that exist in the measured data. It provides you with a series of tools for handling spatial data while accounting for scale. The authors detail a systematic strategy for handling scale issues from geographic reality, through measurements, to resultant spatial data and their analyses. They also explore a process-pattern paradigm in approaching scale issues. This is well reflected, for example, in chapters dealing with terrain analysis, in which scale in terrain derivatives is described in relation to the processing involved in the derivation of specific terrain variables from elevation data, and area classes, which are viewed as driven by class-forming covariates. Lastly, this book provides coverage of some of the issues related to scale that are relatively under-represented in the literature, such as the effects of scale on information content in remotely sensed images, and the interaction between scale and uncertainty that is increasingly important for spatial information and analysis. By taking a rigorous, scientific approach to scale and its various meanings in relation to the geographic world, the book alleviates some of the frustration caused by dealing with issues of scale. While past research has led to an increasing number of journal articles and a few books dedicated to scale modeling and change of scale, this book helps you to develop coherent strategies for scale modeling, highlighting applicability for a variety of fields, from geomatic engineering and geoinformatics to environmental modeling.

Map projection concerns the science of mathematical cartography, the techniques by which the Earth's dimensions, shape and features are translated in map form, be that two-dimensional paper or two- or three- dimensional electronic representations. The central focus of this book is on the theory of map projections. Mathematical cartography also takes in map scales and their variation, the division of maps into sets of sheets and nomenclature, and addresses the problems of making measurements and conducting investigations which make use of geodetic measurements and the development of graphical methods for solving problems of spherical trigonometry, marine- and aeronavigation, astronomy and even crystallography.

Despite the importance of foreign news, its history, transformation and indeed its future have not been much studied. The scholarly community often calls attention to journalism's shortcomings covering the world, yet the topic has not been systematically examined across countries or over time. The need to redress this neglect and the desire to assess the impact of new media technologies on the future of journalism - including foreign correspondence - provide the motivation for this stimulating, exciting and thought-provoking book. While the old economic models supporting news have crumbled in the wake of new media technologies, these changes have the potential to bring new and improved ways to inform people of foreign news. In an increasingly globalized era, journalism is being transformed by the effortlessly quick sharing of information across national boundaries. As such, we need to reconsider foreign correspondence and explore where such reporting is headed. This book discusses the current state and future prospects for foreign correspondence across the full range of media platforms, and assesses developments in the reporting of overseas news for audiences, governments and foreign policy in both contemporary and historical settings around the globe. As Emmy Award and Pulitzer Prize-winning correspondent Serge Schmemann reminds us in this book, "quality journalism and unbiased reporting are as valid and necessary today as they ever were [...] one of the primary tasks of journalists and scholars as they follow the changes taking place must be to ensure that the 'new international information order' now imposed by the Internet remains true to the ideals and traditions that define our journalism." This book was originally published as a special issue of Journalism Studies.

Many disciplines are concerned with manipulating geometric (or spatial) objects in the computer - such as geology, cartography, computer aided design (CAD), etc. - and each of these have developed their own data structures and techniques, often independently. Nevertheless, in many cases the object types and the spatial queries are similar, and this book attempts to find a common theme.

Geosphere-biosphere interaction of certain elements and compounds is a major factor in global environmental change. This guide to the role of geographical monitoring in ecosystem modelling contains papers presented at the International Geographical Union Seminar on monitoring geosystems.

This book aims to offer research at the cutting edge. The individual chapters are fully revised and updated versions of contributions to the first focused scientific symposium on research in geographic information systems (GISRUK). The book provides the reader with a comprehensive outline of the full range and diversity of innovative research programmes in the science of GIS. Chapters address key issues such as computational support; spatial analysis and error; and application and implementation.

This book aims to offer research at the cutting edge. The individual chapters are fully revised and updated versions of contributions to the first focused scientific symposium on research in geographic information systems (GISRUK). The book provides the reader with a comprehensive outline of the full range and diversity of innovative research programmes in the science of GIS. Chapters address key issues such as computational support; spatial analysis and error; and application and implementation.

Geoid and its Geophysical Interpretations explains how an accurate geoid can be constructed and used for a variety of applied and theoretical geophysical purposes. The book discusses existing techniques for geoid computation, recently developed mathematical and computational tools designed for applications, and various interpretations. Principles and results are well illustrated. This book will be an excellent reference for geodesists, geophysicists, geophysical prospectors, oceanographers, and researchers and students in geophysics and geodesy.

Offers New Insight on Uncertainty Modelling Focused on major research relative to spatial information, Uncertainty Modelling and Quality Control for Spatial Data introduces methods for managing uncertainties-such as data of questionable quality-in geographic information science (GIS) applications. By using original research, current advancement, and emerging developments in the field, the authors compile various aspects of spatial data quality control. From multidimensional and multi-scale data integration to uncertainties in spatial data mining, this book launches into areas that are rarely addressed. Topics covered include: New developments of uncertainty modelling, quality control of spatial data, and related research issues in spatial analysis Spatial statistical solutions in spatial data quality Eliminating systematic error in the analytical results of GIS applications A data quality perspective for GIS function workflow design Data quality in multi-dimensional integration Research challenges on data quality in the integration and analysis of data from multiple sources A new approach for imprecision management in the qualitative data warehouse A multi-dimensional quality assessment of photogrammetric and LiDAR datasets based on a vector approach An analysis on the uncertainty of multi-scale representation for street-block settlement Uncertainty Modelling and Quality Control for Spatial Data serves university students, researchers and professionals in GIS, and investigates the uncertainty modelling and quality control in multi-dimensional data integration, multi-scale data representation, national or regional spatial data products, and new spatial data mining methods.

A temporal GIS is an information system designed to describe spatial change over time. As yet, there are no temporal GISs, although the seeds exist. This book examines the conceptual, logical and physical design of a temporal GIS. It provides a broad survey of research on spatiotemporality, the philosophy of time, temporal databases and spatial data structuring. The book also describes an investigation of spatiotemporal data structuring and accessing possibilities.

Based on the experiences of the Department of Information Engineering of the University of Pisa and the Radar and Surveillance System (RaSS) national laboratory of the National Interuniversity Consortium of Telecommunication (CNIT), Radar Imaging for Maritime Observation presents the most recent results in radar imaging for maritime observation. The book explores both the areas of sea surface remote sensing and maritime surveillance providing key theoretical concepts of SAR and ISAR imaging and more advanced and ad-hoc techniques for applications in maritime scenarios. The book is organized in two sections. The first section discusses the fundamentals of standard SAR/ISAR processing and novel imaging techniques, such as Bistatic, Passive, and, 3D Interferometric ISAR. The second section focuses on the applications and results obtained by processing real data from maritime observations like SAR image processing for oil spill, detection in SAR images and fractal analysis. Useful to both beginners and experts in maritime observation, this book provides several examples of (mainly space-borne) radar imaging of maritime targets. Nevertheless, the same principles and techniques apply to the case of manned or unmanned carriers and to ground and air moving targets.

Contemporary cartography faces a threefold, simultaneous set of pressures. First, it is clear that a restricted circle of specialists no longer holds a monopoly over cartographic production and that there is no longer any implicit agreement about maps. Secondly, scientific and technological innovations are rapidly modifying the boundaries between what a map is and is not, increasing the importance of the individual user or map maker. Finally there is a great need for cartographic instruments to empower the citizen-cartographers, tools to help them make sense of the maps that they are making. What is needed is an innovative framework able to help us to think about cartography not only in terms of knowledge, but also in terms of ethics. Ethics is approached here as a fundamental component of an overall emerging self-reflexive attitude: what actually are the social values and responsible attitudes that are at stake in cartographic practices? If we are able to understand how the relationship between a society and its maps tends to design new configurations, we can enhance scientific and technological innovation. We can also contribute to a more general public debate on spatial visualization, which would imply the breaking up of the impermeable borders that persist between academic disciplines.

Providing an introduction to the crucially important topic of groundwater, this text covers all major fields of hydrogeology and includes outlines of the occurrence of groundwater in various rock types, the movement and storage of groundwater, the formulation of groundwater balances, the development of groundwater chemistry, as well as the practical application of hydrogeology for groundwater development. Following a unique systems approach to describe and connect its various elements, the text also explores a large selection of examples of groundwater cases from various parts of the world. In addition, theoretical sections and examples are illustrated with a number of drawings, photos and computer printouts. Suitable for education in hydrogeology at postgraduate and graduate level, the text is also a useful reference tool for professionals and decision-makers involved in water or water-related activities. In the revised paperback edition more attention is paid to the processes in the unsaturated zone, especially those relating to groundwater recharge. Also, the investigation methods are highlighted in the sections where the related theory is dealt with, and they are not presented in the last chapter on groundwater management. The References and Bibliography section is also extended, some figures are improved, and the inevitable 'typing errors' are corrected as well. In the third edition, a more formal basis for the hydro-chemical processes described in the chapter on groundwater chemistry has been added. Mass balances and the principles of dispersion and retardation are introduced. Additional illustrations are provided, also explaining the processes occurring along streamlines. Consult: http://introductiontohydrogeology.nl/ for additional information on the book, the author and available software.

GIS for Critical Infrastructure Protection highlights the GIS-based technologies that can be used to support critical infrastructure protection and emergency management. The book bridges the gap between theory and practice using real-world applications, real-world case studies, and the authors' real-world experience. Geared toward infrastructure owners and first responders and their agencies, it addresses gaps in the response, recovery, preparedness planning, and emergency management of large-scale disasters. It also explains the first principles of CIP, introduces the basic components of GIS, and focuses on the application of GIS analysis to identify and mitigate risk and facilitate remediation. In addition, it offers suggestions on how geospatial and emergency response communities can come together-and with combined knowledge-work toward viable solutions for future improvements. Provides a narrative of critical lessons learned through personal experience during the response to Hurricane Katrina Contains examples demonstrating how geospatial technologies may be applied to fire service Summarizes lessons learned from ten community collaboration studies GIS for Critical Infrastructure Protection serves as a reference for infrastructure owner's police, fire, paramedics, and other government agencies responsible for crisis and emergency response, and critical infrastructure protection. The book benefits first responders and infrastructure owners working to ensure the continued safety and operability of the nation's infrastructure.

Fully automated interpretation and understanding of remotely sensed data by a computer has been a challenge for many decades, and many approaches have been developed over the years. Significant advances in knowledge-based image understanding, machine learning and artificial intelligence has led to this topic being the focus of much research in recent years. This book highlights the different theoretical and application-oriented aspects and potential solutions to the topic of automated remote sensing data analysis. Thereby, both classical knowledge-based as well as modern machine learning-oriented concepts are described. A field such as this is specialized and dynamic and also interdisciplinary and multilayered. Written by an international team of experts, the book has therefore been split into parts dealing with the concepts and applications, and the focus is on elucidating the complementarity of different lines of research rather than providing the complete set of scientific approaches.Part A of this book gives insight into the basic theories and concepts of feature extraction, image understanding and the respective assessment strategies as well as into geometric, radiometric and sensor-related fundamentals of remote sensing technology. Part B focuses on various scientific and practical applications of remote sensing data analysis. These range from the automatic detailed reconstruction of complex 3D environments to visual tracking of objects in image sequences as well as monitoring natural and anthropogenic long-term processes on a regional scale. Part C sketches recent trends in automatic analysis of remote sensing data.

A revision of Openshaw and Abrahart's seminal work, GeoComputation, Second Edition retains influences of its originators while also providing updated, state-of-the-art information on changes in the computational environment. In keeping with the field's development, this new edition takes a broader view and provides comprehensive coverage across the field of GeoComputation. See What's New in the Second Edition: Coverage of ubiquitous computing, the GeoWeb, reproducible research, open access, and agent-based modelling Expanded chapter on Genetic Programming and a separate chapter developed on Evolutionary Algorithms Ten chapters updated by the same or new authors and eight new chapters added to reflect state of the art Each chapter is a stand-alone entity that covers a particular topic. You can simply dip in and out or read it from cover to cover. The opening chapter by Stan Openshaw has been preserved, with only a limited number of minor essential modifications having been enacted. This is not just a matter of respect. Openshaw's work is eloquent, prophetic, and his overall message remains largely unchanged. In contrast to other books on this subject, GeoComputation: Second Edition supplies a state-of-the-art review of all major areas in GeoComputation with chapters written especially for this book by invited specialists. This approach helps develop and expand a computational culture, one that can exploit the ever-increasing richness of modern geographical and geospatial datasets. It also supplies an instructional guide to be kept within easy reach for regular access and when need arises.

This book draws on author's wealth of knowledge working on numerous projects across many countries. It provides a clear overview of the development of the SDI concept and SDI worldwide implementation and brings a logical chronological approach to the linkage of GIS technology with SDI enabling data. The theory and practice approach help understand that SDI development and implementation is very much a social process of learning by doing. The author masterfully selects main historical developments and updates them with an analytical perspective promoting informed and responsible use of geographic information and geospatial technologies for the benefit of society from local to global scales. Features Subject matter spans thirty years of the development of GIS and SDI. Brings a social science perspective into GIS and SDI debates that have been largely dominated by technical considerations. Based on a world-wide perspective as a result of the author's experience and research in the USA, Australia, Canada, Brazil, Peru, China, India, Korea, Malaysia, and Japan as well as most European countries. Draws upon professional and academic experience relating to pioneering UK and European GIS research initiatives. Includes updated historical material with an analytical perspective explaining what was done right, and what didn't work.

While innovation has long been a major topic of research and scholarly interest for the private sector, it is still an emerging theme in the field of public management. While 'results-oriented' public management may be here to stay, scholars and practitioners are now shifting their attention to the process of management and to how the public sector can create 'value'. One of the urgent needs addressed by this book is a better specification of the institutional and political requirements for sustaining a robust vision of public innovation, through the key dimensions of collaboration, creative problem-solving, and design. This book brings together empirical studies drawn from Europe, the USA and the antipodes to show how these dimensions are important features of public sector innovation in many Western democracies with different conditions and traditions. This volume provides insights for practitioners who are interested in developing an innovation strategy for their city, agency, or administration and will be essential reading for scholars, practitioners and students in the field of public policy and public administration.

Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data efficiently and effectively. Big Data: Techniques and Technologies in Geoinformatics tackles these challenges head on, integrating coverage of techniques and technologies for storing, managing, and computing geospatial big data. Providing a perspective based on analysis of time, applications, and resources, this book familiarizes readers with geospatial applications that fall under the category of big data. It explores new trends in geospatial data collection, such as geo-crowdsourcing and advanced data collection technologies such as LiDAR point clouds. The book features a range of topics on big data techniques and technologies in geoinformatics including distributed computing, geospatial data analytics, social media, and volunteered geographic information. With chapters contributed by experts in geoinformatics and in domains such as computing and engineering, the book provides an understanding of the challenges and issues of big data in geoinformatics applications. The book is a single collection of current and emerging techniques, technologies, and tools that are needed to collect, analyze, manage, process, and visualize geospatial big data.

The sheer scale of it makes the measuring of America extraordinary. Beginning in 1785, it became the largest land survey in history stretching from the Ohio river to the Pacific coast and from Lake Erie to the Mexican border. It prepared the ground for the sale of almost two billion acres, and shaped landscapes and cities across the US more drastically than any event since the last ice age.

Before the survey could begin, there had to be agreement about what kind of measurement should be used. What made the 18th-century debate so critical was the revolution taking place in Western thought as objective, scientific reasoning challenged the traditional, subjective view of the world. A battle began between those (like the British) supporting a centuries-old organic form of measurement (ounces and pounds, yards and acres) and the modernizers, like Thomas Jefferson, who backed a system based on scientific observation.

The effects of the measuring of America on the landscape and people (native and immigrant) were huge and long-lasting; the story itself an exotic blend of narrative history and popular science

Capable of acquiring large volumes of data through sensors deployed in air, land, and sea, and making this information readily available in a continuous time frame, the science of geographical information system (GIS) is rapidly evolving. This popular information system is emerging as a platform for scientific visualization, simulation, and computation of spatio-temporal data. New computing techniques are being researched and implemented to match the increasing capability of modern-day computing platforms and easy availability of spatio-temporal data. This has led to the need for the design, analysis, development, and optimization of new algorithms for extracting spatio-temporal patterns from a large volume of spatial data. Computing in Geographic Information Systems considers the computational aspects, and helps students understand the mathematical principles of GIS. It provides a deeper understanding of the algorithms and mathematical methods inherent in the process of designing and developing GIS functions. It examines the associated scientific computations along with the applications of computational geometry, differential geometry, and affine geometry in processing spatial data. It also covers the mathematical aspects of geodesy, cartography, map projection, spatial interpolation, spatial statistics, and coordinate transformation. The book discusses the principles of bathymetry and generation of electronic navigation charts.The book consists of 12 chapters. Chapters one through four delve into the modeling and preprocessing of spatial data and prepares the spatial data as input to the GIS system. Chapters five through eight describe the various techniques of computing the spatial data using different geometric and statically techniques. Chapters nine through eleven define the technique for image registration computation and measurements of spatial objects and phenomenon. Examines cartographic modeling and map

The Urban Data Management Society has organised international symposia at various locations throughout Europe since 1971, and UDMS 2013 marks its second visit to London. From its outset, UDMS has highlighted changes and trends in urban data and urban data management. However, the rate of emergence of new data and new technologies has never been as rapid as it is now. Trends including smart cities, smart phones, social media, 3D modelling, volunteered geographic information, building information modelling and the internet of things all generate information about the urban environment and the people who live there. Additionally the volume of data generated in part through such techniques has in turn resulted in research into big data how best to handle the data, analyse it, visualise it in different contexts. Thus the challenges and opportunities facing those working with these new types of urban data are manifold. Given this, the general theme for UDMS 2013 was "Recent and Emerging Trends in the Management of New Urban Data."

This book contains 20 papers selected from the long papers that were submitted for UDMS 2013. Each paper was reviewed by three independent academic reviewers from around the world, both for academic quality and for clarity in communication. The book is intended to be suitable for different readers from city planners and architects to academics, students and policy makers and those involved in urban planning.

This third edition of the bestselling Remote Sensing for Geologists: A Guide to Image Interpretation is now titled Remote Sensing for Geoscientists: Image Analysis and Integration. The title change reflects that this edition applies to a broad spectrum of geosciences, not just geology; stresses that remote sensing has become more than photointerpretation; and emphasizes integration of multiple remote sensing technologies to solve Earth science problems. The text reviews systems and applications, explains what to look for when analyzing imagery, and provides abundant case histories to illustrate the integration and application of these tools. See What's New in the Second Edition: Broader coverage to include integration of multiple remote sensing technologies Expanded with significant new illustrations in color and reviews of new satellites and sensors Analysis of imagery for geobotanical remote sensing, remote geochemistry, modern analogs to ancient environments, and astrogeology The book covers how to initiate a project, including determining the objective, choosingthe right tools, and selecting imagery. It describes techniques used in geologic mapping and mineral and hydrocarbon exploration, image analysis used in mine development and petroleum exploitation, site evaluation, groundwaterdevelopment, surface water monitoring, geothermal resource exploitation, and logistics. It also demonstrates how imageryis used to establish environmental baselines; monitor land, air, and water quality; maphazards; and determine the effects of global warming. The many examples of geologic mapping on other planets and the moon highlight how to analyze planetary surface processes, map stratigraphy, and locate resources. The book then examines remote sensing and the public, geographic information systems and Google Earth, and how imagery is used by the media, in the legal system, in public relations, and by individuals. Readers should come away with a good understanding of what is involved in image analysis and interpretation and should be ableto recognize and identify geologic features of interest. Having read this book, they should be able to effectively use imagery in petroleum, mining, groundwater, surface water, engineering, and environmental projects.

Case Studies in Geospatial Applications to Groundwater Resources provides thorough the most up-to-date techniques in GIS and geostatistics as they relate to groundwater, through detailed case studies that prove real-world applications of remote sensing applications to this subject. Groundwater is the primary source of fresh water in many parts of the world, while come regions are becoming overly dependent on it, consuming groundwater faster than it is naturally replenished and causing water tables to decline unremittingly. India is the largest user of groundwater in the world followed by China and the USA, with developing countries using groundwater at an unsustainable rate. Systematic planning of groundwater usage using modern techniques is essential for the proper utilization, management and modeling of this precious but shrinking natural resource. With the advent of powerful and highspeed personal computers, efficient techniques for water management have evolved, of which remote sensing, GIS (Geographic Information Systems), GPS (Global Positioning Systems) and Geostatistical techniques are of great significance. This book advances the scientific understanding, development, and application of geospatial technologies related to water resource management. Case Studies in Geospatial Applications to Groundwater Resources is a valuable reference for researchers and postgraduate students in Earth and Environmental Sciences, especially GIS, agriculture, hydrology, natural resources, and soil science, who need to be able to apply the latest technologies in groundwater research in a practical manner.

Satellite imagery and data are widely used in public health surveillance to provide early warning of disease outbreaks and for averting pandemics. Convergence of these technologies began in the 1970s and has gained wide acceptance in the 21st Century. Environmental Tracking for Public Health Surveillance focuses on the expanding use of satellite sensor imagery and long-term spectral measurements for assessing and modelling Earth's environments in context of public health surveillance. It addresses vector-borne, air-borne, water-borne, and zoonotic diseases, and explores analytical methods for forecasting environmental conditions and their potential for consequent disease outbreaks. Infectious and contagious diseases are of particular interest in this volume because once parasite-vector-human host pathways are triggered by favourable biological circumstances, pandemic diseases can spread to global scale in a matter of hours. The chapters advance readers through three sets of material. Part I reviews the 1970-2012 history of satellite Earth-science surveillance technology that led to linking natural environments to human diseases, and more generally to public health applications. Part II describes specific infectious and contagious diseases and the threat of emerging and re-emerging diseases. Part III explores the kinds of satellite data, modelling, and electronic information systems being developed to expedite health intercessions and responses at local to regional and global scales of reference. Equally important are the extensive reference sections for chapters in Parts II and III. For readers interested in tracking the development of Earth-science technology, these constitute a thorough entree to both the health and environmental literature. The chapters are written jointly by experts in both the health and Earth-science technologies. Each chapter is accompanied by an extensive list of citations to provide background and validation of the current state-of-the-art for a variety of high-interest human diseases and associated health and well-being issues. The importance of day-to-day weather patterns, the impacts of severe weather events and longer-term climate cycles form the basis for developing information systems that meet goals and expectations of national and international health monitoring bodies. Environmental Tracking for Public Health Surveillance provides a state-of-the-art overview on how environmental tracking data from satellite, airborne, and ground-based sensors are being integrated into appropriate geophysical and spatial information system models to enhance public health surveillance and decision-making from local to global levels, and is intended primarily for a cross-disciplinary professional audience consisting of public health decision-makers, spatial data analysts, modelers, Earth observation specialists, and medical researchers.