How do you draw a map of 100,000 places, of more than a million flows of people, of changes over time and space, of different kinds of spaces, surfaces and volumes, from human travel time to landscapes of hopes, fears, migration, manufacturing and mortality? How do you turn the millions of numbers concerning some of the most important moments of our lives into images that allow us to appreciate the aggregate while still remembering the detail? The visualization of spatial social structure means, literally, making visible the geographical patterns to the way our lives have come to be socially organised, seeing the geography in society. To a statistical readership visualization implies using data. More widely defined it implies freeing our imaginations. The Visualization of Spatial Social Structure introduces the reader to new ways of thinking about how to look at social statistics, particularly those about people in places. The author presents a unique combination of statistical focus and understanding of social structures and innovations in visualization, describing the rationale for, and development of, a new way of visualizing information in geographical research. These methods are illustrated through extensive full colour graphics; revealing mistakes, techniques and discoveries which present a picture of a changing political and social geography. More complex aspects on the surface of social landscapes are revealed with sculptured symbols allowing us to see the relationships between the wood and the trees of social structure. Today's software can be so flexible that these techniques can now be emulated without coding. This book centres on a particular place and time; 1980s Britain, and a particular set of records; routine social statistics. A great deal of information about the 80s' social geography of Britain is contained within databases such as the population censuses, surveys and administrative data. Following the release of the 2011 census, now is a good time to look back at the past to introduce many new visualization techniques that could be used by future researchers.

This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction - do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). You will be able to use these models to develop your own applications and link, where appropriate, to Geographical Information Systems. All of the key ideas and methods are explained in detail: geographical modelling; an introduction to ABM; the fundamentals of Geographical Information Science; why ABM and GIS; using QGIS; designing and building an ABM; calibration and validation; modelling human behavior. An applied primer, that provides fundamental knowledge and practical skills, it will provide you with the skills to build and run your own models, and to begin your own research projects.

Cybercartography is a new paradigm for maps and mapping in the information era. Defined as "the organization, presentation, analysis and communication of spatially referenced information on a wide variety of topics of interest to society," cybercartography is presented in an interactive, dynamic, multisensory format with the use of multimedia and multimodal interfaces.

Developments in the Theory and Practice of Cybercartography: Applications and Indigenous Mapping examines some of the recent developments in the theory and practice of cybercartography and the substantial changes which have taken place since the first edition published in 2005. It continues to examine the major elements of cybercartography and emphasizes the importance of interaction between theory and practice in developing a paradigm which moves beyond the concept of Geographic Information Systems and Geographical Information Science. The seven major elements of cybercartography outlined in the first edition have been supplemented by six key ideas and the definition of cybercartography has been extended and expanded. The new practice of mapping traditional knowledge in partnership with indigenous people has led to new theoretical understanding as well as innovative cybercartographic atlases. Featuring more than 90% new and revised content, this volume is a result of a multidisciplinary team effort and has benefited from the input of partners from government, industry and aboriginal non-governmental organizations.
Highlights the relationship between cybercartography and critical geographyIncorporates several new cybercartographic atlases produced in cooperation with Inuit and First Nations groupsShowcases legal, ethical, consent and policy implications of mapping local and traditional knowledge Features an interactive companion web site containing links to related sites, additional color images and illustrations, plus important information to capture the dynamic and interactive elements of cybercartography: http: //booksite.elsevier.com/9780444627131/

Discover the geographic approach to conservation land management and landscape conservation. Geographic information system (GIS) technology offers a comprehensive tool for conservation professionals. A modern GIS gives users a real-time look at their data, locations, and their relationships. When applied to conservation, it reveals dependencies and challenges across multiple environments. Through maps and apps, conservation professionals can observe the field, analyze and organize their data, and collaborate with other organizations and the public on addressing threats and opportunities found. Preserving Our Planet: GIS for Conservation explores a collection of real-life stories about conservation organizations successfully using GIS to meet challenges to biodiversity preservation in our rapidly changing world. The book also includes a section on next steps that provides ideas, strategies, tools, and actions to help you jump-start your own use of GIS for conservation. A collection of online resources, including additional stories, videos, new ideas and concepts, and downloadable tools and content, complements this book. Edited by David Gadsden, director of conservation solutions at Esri, and Matt Artz, an Esri content strategist.

Adjustment Models in 3D Geomatics and Computational Geophysics: With MATLAB Examples, Volume Four introduces a complete package of theoretical and practical subjects in adjustment computations relating to Geomatics and geophysical applications, particularly photogrammetry, surveying, remote sensing, GIS, cartography, and geodesy. Supported by illustrating figures and solved examples with MATLAB codes, the book provides clear methods for processing 3D data for accurate and reliable results. Problems cover free net adjustment, adjustment with constraints, blunder detection, RANSAC, robust estimation, error propagation, 3D co-registration, image pose determination, and more.

This volume discusses the concept of The Spatial University as part of the broad growth of spatial science and the need for spatial infrastructure in colleges and universities. The book centers on the development of U-Spatial, the spatial science infrastructure at the University of Minnesota that offers a range of spatial activities and services, including data access, training, and community building. Against a backdrop of the changing nature of research, teaching, and service in higher education, the story of U-Spatial anchors a broader discussion of what it means to be a spatial university. This narrative framing demonstrates-with specific examples-the importance of institutions offering dedicated spatial research infrastructure. In six chapters, the text explores the importance of spatial thinking, learning, and research for student and researcher success. The volume offers lessons that are applicable far beyond the University of Minnesota to apply to a broad array of domains and institutional specializations. The book will be useful to students, researchers, and policymakers concerned with how institutions can encourage spatial research, teaching, and service. It will also appeal to researchers and practitioners interested in broader uses of spatial science. This book shows how GIS can transform a university, speaking to the need for leadership in higher education around the power of bringing everything together using spatial and geographic concepts. Jack Dangermond Co-Founder and President, Esri

This book deals with issues and concerns for the human environment in the developing countries incorporating natural processes and systems, pollution removal technology, energy conservation, environmental impact assessment process, economics, culture, political structure and societal equity from a management point of view. Solutions to the emerging problems of the environment need a paradigmatic shift in approach from a process based model to a socio-political-economic model. Hence environmental management should involve equality and control over use of the finite natural resources and the balance between Earth's biocapacity and humanity's ecological footprint. Changes such as green technologies, human population stabilization and adoption of ecologically harmonious lifestyles are absolutely essential and will require redesigning of political institutions, policies and revisiting forgotten skills of sustainable practices of environmental management. These challenges should centre on environment governance using the concepts of common property, equity and security. This book is relevant for academics, professionals, administrators and policy makers who are concerned with various aspects of environment management and governance.

Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling.

The book demonstrates the geospatial technology approach to data mining techniques, data analysis, modeling, risk assessment, visualization, and management strategies in different aspects of natural and social hazards. This book has 25 chapters associated with risk assessment, mapping and management strategies of environmental hazards. It covers major topics such as Landslide Susceptibility, Arsenic Contaminated Groundwater, Earthquake Risk Management, Open Cast Mining, Soil loss, Flood Susceptibility, Forest Fire Risk, Malaria prevalence, Flood inundation, Socio-Economic Vulnerability, River Bank Erosion, and Socio-Economic Vulnerability. The content of this book will be of interest to researchers, professionals, and policymakers, whose work involves environmental hazards and related solutions.

This volume gathers the proceedings of the IX Hotine-Marussi Symposium on Mathematical Geodesy, which was held from 18 to 22 June 2018 at the Faculty of Civil and Industrial Engineering, Sapienza University of Rome, Italy. Since 2006, the Hotine-Marussi Symposia series has been produced under the auspices of the Inter-Commission Committee on Theory (ICCT) within the International Association of Geodesy (IAG). The ICCT has organized the last four Hotine-Marussi Symposia, held in Wuhan (2006) and Rome (2009, 2013 and 2018). The overall goal of the ICCT and Hotine-Marussi Symposia has always been to advance geodetic theory, as reflected in the 25 peer-reviewed research articles presented here. The IX Hotine-Marussi Symposium was divided into 10 topical sessions covering all aspects of geodetic theory including reference frames, gravity field modelling, adjustment theory, atmosphere, time series analysis and advanced numerical methods. In total 118 participants attended the Symposium and delivered 82 oral and 37 poster presentations. During a special session at the Accademia Nazionale deiLincei, the oldest scientific academy in the world, six invited speakers discussed interactions of geodesy with oceanography, glaciology, atmospheric research, mathematics, Earth science and seismology.

Geographical Models with Mathematica provides a fairly comprehensive overview of the types of models necessary for the development of new geographical knowledge, including stochastic models, models for data analysis, for geostatistics, for networks, for dynamic systems, for cellular automata and for multi-agent systems, all discussed in their theoretical context. The author then provides over 65 programs, written in the Mathematica language, that formalize these models. Case studies are provided to help the reader apply these programs to their own studies.

Geographical data are used in so many aspects of our lives today, ranging from disaster relief operations through to finding directions on our mobile phones. We can all be data collectors, adding locational information as we capture digitally our day-to-day experiences. Geographical Information Systems (GIS) are the software tools that facilitate this, turning the raw data into useful information that can help us understand our worlds better. Principles of Geographical Information Systems presents a thorough overview of the subject, exploring both the theoretical basis of GIS, and their use in practice. It explains how data on the world are converted into digital form and the analytical capabilities used to bring understanding to a range of areas of interest and issues. Spatial data are usually based on two, dichotomous paradigms: exactly defined entities in space, such as land parcels and urban structures, or the continuous variation of single attributes, such as temperature or rainfall. The adoption of one or the other influences how the geographical data are structured in the GIS and the types of analysis possible. A further area of focus in the book concerns the problems of data quality and how statistical errors in spatial data can affect the results of spatial modelling based on the two paradigms of space. Fuzzy logic and continuous classification methods are presented as methods for linking the two spatial paradigms. The book concludes with an overview of current developments and trends in providing spatial data to an ever-expanding global community of users. Online Resource Centre The Online Resource Centre to accompany Principles of Geographical Information Systems features: For students: * Datasets with instructions of how to repeat analyses presented in the book using widely-used software For registered adopters of the book: * Figures from the book, available for download

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

A lavishly illustrated reference guide, Cartography. by Kenneth Field is an inspiring and creative companion along the nonlinear journey toward making a great map. This sage compendium for contemporary mapmakers distills the essence of cartography into useful topics, organized for convenience in finding the specific idea or method you need. Unlike books targeted to deep scholarly discourse of cartographic theory, this book provides sound, visually compelling information that translates into practical and useful tools for modern mapmaking. At the intersection of science and art, this book serves as a guidepost for designing an accurate and effective map.

There is an enormous need to map cities, rivers, coasts, roads, industrial installations and infrastructure in general, and also vulnerable areas in full three dimensions. It has to be done accurately and in detail. The main technologies for detailed 3D mapping are based on imaging devices (photogrammetry) and Lidar sensors (laser scanning). These geodata acquisition technologies routinely acquire point clouds of billions of points and have matured rapidly since the mid-1990s. They have become key geodata sources for 3D city modelling, creation of digital twins and smart cities, and inspection of roads, railways, and natural features. Many GIS analysts extensively use point clouds in the form of digital elevation models. Pointcloudmetry is the specialized branch of geomatics that encompasses the acquisition and processing of point clouds captured by Lidar devices as well as point clouds derived from photogrammetric images. The technology allows accurate and detailed geo-information about earth-related objects, including the bare earth surface, to be obtained. This book covers the entire chain from the principles of geo-referencing and the basics of electromagnetic energy up to the generation of 2.5D and 3D geoinformation. The book provides vital knowledge about the fundamentals, idiosyncrasies and unparalleled potential of point cloud technology and is an indispensable aid to acquiring competent knowledge on the processing steps necessary for converting raw data into high quality 3D geo-information.

This unique text/reference presents a unified approach to the formulation of Gestalt laws for perceptual grouping, and the construction of nested hierarchies by aggregation utilizing these laws. The book also describes the extraction of such constructions from noisy images showing man-made objects and clutter. Each Gestalt operation is introduced in a separate, self-contained chapter, together with application examples and a brief literature review. These are then brought together in an algebraic closure chapter, followed by chapters that connect the method to the data - i.e., the extraction of primitives from images, cooperation with machine-readable knowledge, and cooperation with machine learning. Topics and features: offers the first unified approach to nested hierarchical perceptual grouping; presents a review of all relevant Gestalt laws in a single source; covers reflection symmetry, frieze symmetry, rotational symmetry, parallelism and rectangular settings, contour prolongation, and lattices; describes the problem from all theoretical viewpoints, including syntactic, probabilistic, and algebraic perspectives; discusses issues important to practical application, such as primitive extraction and any-time search; provides an appendix detailing a general adjustment model with constraints. This work offers new insights and proposes novel methods to advance the field of machine vision, which will be of great benefit to students, researchers, and engineers active in this area.

This book aims to promote the core understanding of a proper modelling of road traffic accidents by deep learning methods using traffic information and road geometry delineated from laser scanning data. The first two chapters of the book introduce the reader to laser scanning technology with creative explanation and graphical illustrations, review and recent methods of extracting geometric road parameters. The next three chapters present different machine learning and statistical techniques applied to extract road geometry information from laser scanning data. Chapters 6 and 7 present methods for modelling roadside features and automatic road geometry identification in vector data. After that, this book goes on reviewing methods used for road traffic accident modelling including accident frequency and injury severity of the traffic accident (Chapter 8). Then, the next chapter explores the details of neural networks and their performance in predicting the traffic accidents along with a comparison with common data mining models. Chapter 10 presents a novel hybrid model combining extreme gradient boosting and deep neural networks for predicting injury severity of road traffic accidents. This chapter is followed by deep learning applications in modelling accident data using feed-forward, convolutional, recurrent neural network models (Chapter 11). The final chapter (Chapter 12) presents a procedure for modelling traffic accident with little data based on the concept of transfer learning. This book aims to help graduate students, professionals, decision makers, and road planners in developing better traffic accident prediction models using advanced neural networks.

An accessible guide to the ideas and technologies underlying such applications as GPS, Google Maps, Pokemon Go, ride-sharing, driverless cars, and drone surveillance. Billions of people around the globe use various applications of spatial computing daily-by using a ride-sharing app, GPS, the e911 system, social media check-ins, even Pokemon Go. Scientists and researchers use spatial computing to track diseases, map the bottom of the oceans, chart the behavior of endangered species, and create election maps in real time. Drones and driverless cars use a variety of spatial computing technologies. Spatial computing works by understanding the physical world, knowing and communicating our relation to places in that world, and navigating through those places. It has changed our lives and infrastructures profoundly, marking a significant shift in how we make our way in the world. This volume in the MIT Essential Knowledge series explains the technologies and ideas behind spatial computing. The book offers accessible descriptions of GPS and location-based services, including the use of Wi-Fi, Bluetooth, and RFID for position determination out of satellite range; remote sensing, which uses satellite and aerial platforms to monitor such varied phenomena as global food production, the effects of climate change, and subsurface natural resources on other planets; geographic information systems (GIS), which store, analyze, and visualize spatial data; spatial databases, which store multiple forms of spatial data; and spatial statistics and spatial data science, used to analyze location-related data.

"Elsevier's Dictionary of Geographical Information Systems" contains 4,040 terms with about 1,700 cross-references that are commonly used in the theory and practice of geographical information systems. The terms were selected according to their significance or frequency of use. The terminology covers the areas of geoinformatics, geostatistics, computer cartography, geospatial databases, computer graphics, geodesy, photogrammetry, remote sensing, hardware and software for introduction, processing and visualization of geospatial data, etc. Geographical information systems are modern, widely distributed and strategic tools in many human activities (land survey and regulation, ecology, forestry, agronomy, demography, hydrology, urban planning, transport, etc.).

"Elsevier's Dictionary of Geographical Information Systems" will be a valuable tool for specialists, scientists and students and for everyone who is interested in this area.

Global problems require global information, which satellites can now provide. With ever more sophisticated control methods being developed for infectious diseases, our ability to map spatial and temporal variation in risk is more important than ever. Only then may we plan control campaigns and deliver novel interventions and remedies where the need is greatest, and sustainable success is most likely. This book presents a comprehensive guide to using the very latest methods of surveillance from satellites, including analysing spatial data within geographical information systems, interpreting complex biological patterns, and predicting risk both today and as it may change in the future. Of all infectious disease systems, those that involve free-living invertebrate vectors or intermediate hosts are most susceptible to changing environmental conditions, and have hitherto received most attention from the marriage of analytical biology with this new space technology. Accordingly, this volume presents detailed case studies on malaria, African trypanosomiasis (sleeping sickness), tick-borne infections and helminths (worms). For those who are unfamiliar with this science, and unsure how to start, the book ends with a chapter of practical advice on where to seek hands-on instruction. The lessons to be learned from these studies are applicable to many other epidemiological and ecological problems that face us today, most significantly the preservation of the world's biodiversity.
Key Features
* Only book to provide a synthesis of complex biology, quantitative analysis, space technology and practical applications, focused on solving real epidemiological problems on a global scale
* Broad scope, with methods relevant to subjects ranging from biodiversity to public health
* Practical advice on relevant courses
* 24 pages of colour plates