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Spatial Management of Risks
by Gérard BrugnotSpatial analysis is an increasingly important tool for detecting and preventing numerous risk and crisis phenomena such as floods in a geographical area. This book concentrates on examples of prevention but also gives crisis control advice and practical case studies. Some chapters address urban applications in which vulnerabilities are concentrated in area; others address more rural areas with more scattered phenomena.
Spatial Mapping and Modelling for Kala-azar Disease (SpringerBriefs in Medical Earth Sciences)
by Gouri Sankar Bhunia Pravat Kumar ShitThis book addresses the current challenges in controlling Kala-azar disease (Visceral leishmaniasis) in India and other VL-endemic areas, and aims to develop and apply a geo-environmental risk model based on primary and secondary data with the aid of remote sensing and GIS technologies to assess and mitigate Kala-azar transmission. Through case studies carried out in India, the book provides insight into the relationship between geo-environmental variables and encroachments of Kala-azar, and identifies potential pathways for VL introduction to develop mitigation strategies using GIS and remote sensing technologies. The book critically assesses existing VL mitigation measures that do not adequately account for geo-environmental conditions, and analyzes the environmental factors that aid Kala-azar transmission using remote sensing, spatial statistics and data mining techniques. The book will be of interest to epidemiologists, researchers and practitioners using geospatial data practices to study disease transmission and associated monitoring technologies.
Spatial Mathematics: Theory and Practice through Mapping
by Sandra Lach Arlinghaus Joseph J. KerskiIn terms of statistics, GIS offers many connections. With GIS, data are gathered, displayed, summarized, examined, and interpreted to discover patterns. Spatial Mathematics: Theory and Practice through Mapping uses GIS as a platform to teach mathematical concepts and skills through visualization of numbers. It examines theory and practice from disp
Spatial Microsimulation: A Reference Guide for Users
by Kimberley Edwards Robert TantonThis book is a practical guide on how to design, create and validate a spatial microsimulation model. These models are becoming more popular as academics and policy makers recognise the value of place in research and policy making. Recent spatial microsimulation models have been used to analyse health and social disadvantage for small areas; and to look at the effect of policy change for small areas. This provides a powerful analysis tool for researchers and policy makers. This book covers preparing the data for spatial microsimulation; a number of methods for both static and dynamic spatial microsimulation models; validation of the models to ensure the outputs are reasonable; and the future of spatial microsimulation. The book will be an essential handbook for any researcher or policy maker looking to design and create a spatial microsimulation model. This book will also be useful to those policy makers who are commissioning a spatial microsimulation model, or looking to commission work using a spatial microsimulation model, as it provides information on the different methods in a non-technical way.
Spatial Microsimulation for Rural Policy Analysis
by Cathal O'Donoghue Stephen Hynes Karyn Morrissey Graham Clarke Dimitris BallasThe aim of this book is to explore the challenges facing rural communities and economies and to demonstrate the potential of spatial microsimulation for policy and analysis in a rural context. This is done by providing a comprehensive overview of a particular spatial microsimulation model called SMILE (Simulation Model of the Irish Local Economy). The model has been developed over a ten year period for applied policy analyis in Ireland which is seen as an ideal study area given its large percentage of population living in rural areas. The book reviews the policy context and the state of the art in spatial microsimulation against which SMILE was developed, describes in detail its model design and calibration, and presents example of outputs showing what new information the model provides using a spatial matching process. The second part of the book explores a series of rural issues or problems, including the impacts of new or changing government or EU policies, and examines the contribution that spatial microsimulation can provide in each area.
Spatial Microsimulation with R (Chapman & Hall/CRC The R Series)
by Robin Lovelace Morgane DumontGenerate and Analyze Multi-Level Data Spatial microsimulation involves the generation, analysis, and modeling of individual-level data allocated to geographical zones. Spatial Microsimulation with R is the first practical book to illustrate this approach in a modern statistical programming language. Get Insight into Complex BehaviorsThe book progresses from the principles underlying population synthesis toward more complex issues such as household allocation and using the results of spatial microsimulation for agent-based modeling. This equips you with the skills needed to apply the techniques to real-world situations. The book demonstrates methods for population synthesis by combining individual and geographically aggregated datasets using the recent R packages ipfp and mipfp. This approach represents the "best of both worlds" in terms of spatial resolution and person-level detail, overcoming issues of data confidentiality and reproducibility. Implement the Methods on Your Own DataFull of reproducible examples using code and data, the book is suitable for students and applied researchers in health, economics, transport, geography, and other fields that require individual-level data allocated to small geographic zones. By explaining how to use tools for modeling phenomena that vary over space, the book enhances your knowledge of complex systems and empowers you to provide evidence-based policy guidance.
Spatial Modeling Principles in Earth Sciences
by Zekai SenThis is a revised and updated second edition, including new chapters on temporal and point uncertainty model, as well as on sampling and deterministic modeling. It is a comprehensive presentation of spatial modeling techniques used in the earth sciences, outlining original techniques developed by the author. Data collection in the earth sciences is difficult and expensive, but simple, rational and logical approaches help the reader to appreciate the fundamentals of advanced methodologies. It requires special care to gather accurate geological, hydrogeological, meteorological and hydrological information all with risk assessments. Spatial simulation methodologies in the earth sciences are essential, then, if we want to understand the variability in features such as fracture frequencies, rock quality, and grain size distribution in rock and porous media. This book outlines in a detailed yet accessible way the main spatial modeling techniques, in particular the Kriging methodology. It also presents many unique physical approaches, field cases, and sample interpretations. Since Kriging's origin in the 1960s it has been developed into a number of new methods such as cumulative SV (CSV), point CSV (PCSV), and spatial dependence function, which have been applied in different aspects of the earth sciences. Each one of these techniques is explained in this book, as well as how they are used to model earth science phenomena such as geology, earthquakes, meteorology, and hydrology. In addition to Kriging and its variants, several alternatives to Kriging methodology are presented and the necessary steps in their applications are clearly explained. Simple spatial variation prediction methodologies are also revised with up-to-date literature, and the ways in which they relate to more advanced spatial modeling methodologies are explained. The book is a valuable resource for students, researchers and professionals of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics. Keywords #65533;Data mining - Geo-statistics - Kriging - Regional uncertainty - Spatial dependence - Spatial modeling - geographic data - geoscience - hydrology - image processing
Spatial Modeling Principles in Earth Sciences
by Zekai SenSpatial Modeling Principles in Earth Sciences presents fundamentals of spatial data analysis used in hydrology, geology, meteorology, atmospheric science and related fields. It examines methods for the quantitative determination of the spatial distribution patterns. This book brings together the material from the current literature in earth sciences and practical examples. It provides a sound background of philosophical, logical, rational and physical principles of spatial data and analysis, and explains how it can be modeled and applied in earth sciences projects and designs. It collects information not previously available in one source, and provides methodology for the treatment of spatial data to find the most rational and practical solution. The book is a valuable resource for students, researchers and practitioners of a broad range of disciplines including geology, geography, hydrology, meteorology, environment, image processing, spatial modeling and related topics.
Spatial Modelling of Flood Risk and Flood Hazards: Societal Implications (GIScience and Geo-environmental Modelling)
by Biswajeet Pradhan Pravat Kumar Shit Gouri Sankar Bhunia Partha Pratim Adhikary Hamid Reza PourghasemiFloods and flash floods with hydro-meteorological and tropical cyclones are the some of the most devastating natural disasters causing massive damages to natural and man-made features. Flood hazards are a major threat to human life, properties (agricultural area, yield production, building and homes) and infrastructures (bridges, roads, railways, urban infrastructures, etc). Flood hazards susceptibility mapping (risk assessment) and modelling is an essential step for early warning systems, emergency services, prevention and mitigation of future environmental and social hazards and implementation of risk management strategies. Due to the lack of proper information, technology-based policies and strategies, mapping and modelling can often not be implemented to the best possible level. Geo-spatial techniques have enjoyed rising interest in recent decades among the earth environmental and social sciences research communities for their powerful ability to solve and understand various complex problems and develop novel approaches toward sustainable earth and human society. By linking geo-spatial computational intelligence techniques with societal and environmental-oriented problems, this book demonstrates geospatial technology approaches to data mining techniques, data analysis, modelling, risk assessment and visualization and management strategies in different aspects of flood hazards. We believe that a diverse group of academics, scientists, geographers, hydrologist, remote sensing and GIS expertise, environmentalists, meteorologists and computing experts with a common interest in geospatial sciences within the earth environmental sciences and humanistic and social sciences will find this book to be of great value.
Spatial Multicriteria Decision Making and Analysis: A Geographic Information Sciences Approach (Routledge Revivals)
by Jean-Claude ThillFirst published in 1999, this volume consists of selected papers presented at the North American Meetings of the RSAI along with invited contributions from scholars active in the field of spatial multicriteria decision making and analysis. It is meant to present diverse lines of research in spatial multicriteria decision making and analysis under the multidisciplinary umbrella of Geographic Information Science. The first part explores selected theoretical and conceptual aspects of spatial multicriteria decision making and analysis not confined to any specific application domain. Part 2 consists of six chapters focusing on various forms of location decision and analysis problems. Finally, part 3 contains five chapters on various spatial decision problems whose systemic scope sets them apart from locational decision problems.
Spatial Networks: A Complete Introduction: From Graph Theory and Statistical Physics to Real-World Applications (Lecture Notes In Morphogenesis Ser.)
by Marc BarthelemyThis book provides a complete introduction into spatial networks. It offers the mathematical tools needed to characterize these structures and how they evolve in time and presents the most important models of spatial networks.The book puts a special emphasis on analyzing complex systems which are organized under the form of networks where nodes and edges are embedded in space. In these networks, space is relevant, and topology alone does not contain all the information. Characterizing and understanding the structure and the evolution of spatial networks is thus crucial for many different fields, ranging from urbanism to epidemiology.This subject is therefore at the crossroad of many fields and is of potential interest to a broad audience comprising physicists, mathematicians, engineers, geographers or urbanists. In this book, the author has expanded his previous book ("Morphogenesis of Spatial Networks") to serve as a textbook and reference on this topic for a wide range of students and professional researchers.
Spatial Observation of Giant Panda Habitat: Techniques and Methods
by Xinyuan Wang Jing Zhen Qingkai MengThis book evaluates the past, present, and future habitat suitability of giant pandas based on spatial observation technology involving optical remote sensing, microwave remote sensing, and LiDAR to discover the mysterious ecological environment of giant panda habitat. Considering the problems faced by the world natural heritage site protection, it takes the world natural heritage site “Sichuan Giant Panda Sanctuaries – Wolong, Mt Siguniang and Jiajin Mountains” as the research area, exemplifies systematically the various techniques and methodologies of spatial information technology for monitoring, evaluation, and prediction of rare and endangered species habitats, and provides scientific suggestions for sustainable development of giant panda habitat based on a series of comprehensive case analysis at Wolong national nature reserve and Ya'an prefecture, Sichuan province, China. The book serves both as a textbook in the field of natural heritage protection, remote sensing, and GIS application, as well as a reference for managing natural heritage sites.
Spatial Optimization in Ecological Applications (Complexity in Ecological Systems)
by John Hof Michael BeversWhether discussing habitat placement for the northern spotted owl or black-tailed prairie dog or strategies for controlling exotic pests, this book explains how capturing ecological relationships across a landscape with pragmatic optimization models can be applied to real world problems. Using linear programming, Hof and Bevers show how it is possible for the researcher to include many thousands of choice variables and many thousands of constraints and still be quite confident of being able to solve the problem in hand with widely available software. The authors' emphasis is to preserve optimality and explore how much ecosystem function can be captured, stressing the solvability of large problems such as those in real world case studies.
Spatial Planning in Poland: Law, Property Market and Planning Practice (SpringerBriefs in Geography)
by Maciej J. Nowak Przemysław Śleszyński Paulina Legutko-KobusThis book defines the dilemmas related to the interface between legal regulations and planning practice in the spatial management system. Based on specific case studies, it gives examples of possible problems and ways of solving them. It applies to Poland's standard and the determinants of spatial policy in other countries. It provides the basis for a developed international discussion and concretely suggests specific actions at local, regional and national levels.
Spatial Planning Systems in Central and Eastern European Countries: Review and Comparison of Selected Issues (SpringerBriefs in Geography)
by Maciej J. Nowak Andrei Mitrea Gunta Lukstiņa Alexandru-Ionuţ Petrişor Krisztina Filepné Kovács Velislava Simeonova Pavel Yanchev Evelin Jürgenson Kätlin Põdra Vít Řezáč Kristina Mikalauskaite Birute Pranevičienė Zuzana Ladzianska Martin BalogaThis book presents concise summaries of cutting-edge research and practical applications across the fields of physical, environmental, and human geography. It publishes compact refereed monographs under the editorial supervision of an international advisory board with the aim to publish 8 to 12 weeks after acceptance. Volumes are compact, 50 to 125 pages, with a clear focus. The series covers a range of content from professional to academic such as timely reports of state-of-the art analytical techniques, bridges between new research results, snapshots of hot and/or emerging topics, elaborated thesis, literature reviews, and in-depth case studies. The scope of the series spans the entire field of geography, with a view to significantly advance research. The character of the series is international and multidisciplinary and includes research areas such as GIS/cartography, remote sensing, geographical education, geospatial analysis, techniques and modeling, landscape/regional and urban planning, economic geography, housing and the built environment, and quantitative geography. Volumes in this series may analyze past, present, and/or future trends, as well as their determinants and consequences. Both solicited and unsolicited manuscripts are considered for publication in this series. This book is of interest to a wide range of individuals with interests in physical, environmental, and human geography as well as for researchers from allied disciplines.
Spatial Relationships Between Two Georeferenced Variables: With Applications in R
by Ronny Vallejos Felipe Osorio Moreno BevilacquaThis book offers essential, systematic information on the assessment of the spatial association between two processes from a statistical standpoint. Divided into eight chapters, the book begins with preliminary concepts, mainly concerning spatial statistics. The following seven chapters focus on the methodologies needed to assess the correlation between two or more processes; from theory introduced 35 years ago, to techniques that have only recently been published. Furthermore, each chapter contains a section on R computations to explore how the methodology works with real data. References and a list of exercises are included at the end of each chapter. The assessment of the correlation between two spatial processes has been tackled from several different perspectives in a variety of applications fields. In particular, the problem of testing for the existence of spatial association between two georeferenced variables is relevant for posterior modeling and inference. One evident application in this context is the quantification of the spatial correlation between two images (processes defined on a rectangular grid in a two-dimensional space). From a statistical perspective, this problem can be handled via hypothesis testing, or by using extensions of the correlation coefficient. In an image-processing framework, these extensions can also be used to define similarity indices between images.
Spatial Resilience in Social-Ecological Systems
by Graeme S. CummingSpatial Resilience is a new and exciting area of interdisciplinary research. It focuses on the influence of spatial variation - including such things as spatial location, context, connectivity, and dispersal - on the resilience of complex systems, and on the roles that resilience and self-organization play in generating spatial variation. Prof. Cumming provides a readable introduction and a first comprehensive synthesis covering the core concepts and applications of spatial resilience to the study of social-ecological systems. The book follows a trajectory from concepts through models, methods, and case study analysis before revisiting the central problems in the further conceptual development of the field. In the process, the author ranges from the movements of lions in northern Zimbabwe to the urban jungles of Europe, and from the collapse of past societies to the social impacts of modern conflict. The many case studies and examples discussed in the book show how the concept of spatial resilience can generate valuable insights into the spatial dynamics of social-ecological systems and contribute to solving some of the most pressing problems of our time. Although it has been written primarily for students, this book will provide fascinating reading for interdisciplinary scientists at all career stages as well as for the interested public. "Graeme Cumming, central in the development of resilience thinking and theory, has produced a wonderful book on spatial resilience, the first ever on this topic. The book will become a shining star, a classic in the explosion of new ideas and approaches to studying and understanding social-ecological systems." Carl Folke, Stockholm Resilience Centre, Sweden
Spatial Synthesis: Computational Social Science and Humanities (Human Dynamics in Smart Cities)
by Xinyue Ye Hui LinThis book describes how powerful computing technology, emerging big and open data sources, and theoretical perspectives on spatial synthesis have revolutionized the way in which we investigate social sciences and humanities. It summarizes the principles and applications of human-centered computing and spatial social science and humanities research, thereby providing fundamental information that will help shape future research. The book illustrates how big spatiotemporal socioeconomic data facilitate the modelling of individuals’ economic behavior in space and time and how the outcomes of such models can reveal information about economic trends across spatial scales. It describes how spatial social science and humanities research has shifted from a data-scarce to a data-rich environment. The chapters also describe how a powerful analytical framework for identifying space-time research gaps and frontiers is fundamental to comparative study of spatiotemporal phenomena, and how research topics have evolved from structure and function to dynamic and predictive. As such this book provides an interesting read for researchers, students and all those interested in computational and spatial social sciences and humanities.
Spatial Techniques for Soil Erosion Estimation: Remote Sensing And Gis Approach (Springerbriefs In Gis Ser.)
by Rupesh Jayaram PatilThis book presents a novel computation of the topographic LS factor of the USLE model to estimate spatial soil erosion. In developing countries, soil erosion is one of the main concerns as it adversely affects agriculture and reduces food production. Therefore, the author presents a particularly relevant approach, as he demonstrates how the C++ programming allows us to identify important erosion stages like detachment and deposition. He does this by assessing the annual rate of soil erosion from the Shakkar River watershed in India using distributed information and applying RS and GIS techniques. He also discusses different approaches that have been proposed to work out the influence of topography on erosion. Simulated and observed data of sediment loss are compared for the period 1992 to 2006.This book provides an easy-to-understand basic piece of soil erosion and hydrological research and reaches out to young researchers and students at the graduate and undergraduate level as well as applicants of soil erosion models.
Spatial Tensions in Urban Design: Understanding Contemporary Urban Phenomena (The Urban Book Series)
by Ianira Vassallo Michele Cerruti But Giulia Setti Agim KercukuThis book provides an original research perspective to the field of contemporary urban conflicts. Even though violent conflicts have transformed cities during the XX century, it is nowadays possible to identify the phenomenon of “Tensions” as a specific contemporary both social and spatial urban changes catalyst.Through a collection of essays from various disciplines focusing on international case studies—from India to Europe to Latin America— the publication explores the multifaceted concept of “spatial tensions” as a lens for better understanding contemporary urban transformations. While tensions often depend on spatial dispositives and superstructures, they also offer a powerful key for design practices and strategies.
Spatial Thinking in Environmental Contexts: Maps, Archives, and Timelines
by Sandra L. Arlinghaus Joseph J. Kerski Ann Evans Larimore Matthew NaudSpatial Thinking in Environmental Contexts: Maps, Archives, and Timelines cultivates the spatial thinking "habit of mind" as a critical geographical view of how the world works, including how environmental systems function, and how we can approach and solve environmental problems using maps, archives, and timelines. The work explains why spatial thinking matters as it helps readers to integrate a variety of methods to describe and analyze spatial/temporal events and phenomena in disparate environmental contexts. It weaves together maps, GIS, timelines, and storytelling as important strategies in examining concepts and procedures in analyzing real-world data and relationships. The work thus adds significant value to qualitative and quantitative research in environmental (and related) sciences. Features Written by internationally renowned experts known for taking complex ideas and finding accessible ways to more broadly understand and communicate them. Includes real-world studies explaining the merging of disparate data in a sensible manner, understandable across several disciplines. Unique approach to spatial thinking involving animated maps, 3D maps, GEOMATs, and story maps to integrate maps, archives, and timelines—first across a single environmental example and then through varied examples. Merges spatial and temporal views on a broad range of environmental issues from traditional environmental topics to more unusual ones involving urban studies, medicine, municipal/governmental application, and citizen-scientist topics. Provides easy to follow step-by-step instructions to complete tasks; no prior experience in data processing is needed.
The Spatial Turn: Interdisciplinary Perspectives (Routledge Studies in Human Geography)
by Barney Warf Santa AriasAcross the disciplines, the study of space has undergone a profound and sustained transformation. Space, place, mapping, and geographical imaginations have become commonplace topics in a variety of analytical fields in part because globalization has accentuated the significance of location. While this transformation has led to a renaissance in human geography, it also has manifested itself in the humanities and other social sciences. The purpose of this book is not to announce that space is significant, which by now is well known, but to explore how space is analyzed by a variety of disciplines, to compare and contrast these approaches, identify commonalities, and explore how and why differences appear. The volume includes works by 13 scholars from a variety of geographical regions and disciplines. The chapters combine up-to-date literature reviews concerning the role of space in each discipline and several offer original empirical analyses. Some chapters are concerned with Geography while others explore the role of space in contemporary Anthropology, Sociology, Religion, Political Science, Film, and Cultural Studies. The introduction surveys the development of the spatial turn across the fields under consideration. Despite frequent reference to the spatial turn, this is the first volume to explicitly address how theory and practice concerning space, is used in a variety of fields from diverse conceptual perspectives. This book will appeal to everyone conducting conceptual and theoretical research on space, not simply in Geography, but in related fields as well.
Spatialities of Speculative Fiction: Re-Mapping Possibilities, Philosophies, and Territorialities (Routledge Research in Culture, Space and Identity)
by Gwilym Lucas EadesThis book examines science fiction, fantasy and horror novels utilizing a conceptual toolkit of the ten duties of speculative fiction. Building on previous work in the discipline of geography it will demonstrate the value of speculation in the visualisation of Anthropocene futures. The book presents insights into how novels produce specifically geographical knowledge about the world - spatialities - and how they use both literal maps and figurative counter-mappings to comment upon and shape futures. This book is about much more than science fiction. It covers areas of literature and para-literature associated with the "fantastic" and as such, looks also at works of fantasy and horror. The areas of overlap between these three categories of fantastic literature are posited as the most productive in the terms by which this book navigates, namely, spatiality. The book will explore, through the critical examination of a selection of key works of speculative fiction, how science-fictional and fantastic narratives are spatialized through both conceptual and literal mappings. This book is intended for both an academic and practitioner and for people interested in both producing scholarly commentary upon works of speculative fiction; and for those writing speculative fiction and novels.
Spatialized Islamophobia (Routledge Studies in Human Geography)
by Kawtar NajibThis book demonstrates the spatialized and multi-scalar nature of Islamophobia. It provides ground-breaking insights in recognising the importance of space in the formation of anti-Muslim racism. Through the exploration of complementary data, both from existing quantitative databases and directly from victims of Islamophobia, applied in two important European capitals - Paris and London - this book brings new materials to research on Islamophobia and argues that Islamophobia is also a spatialized process that occurs at various interrelated spatial scales: globe, nation, urban, neighbourhood and body (and mind). In so doing, this book establishes and advances the new concept of ‘Spatialized Islamophobia’ by exploring global, national, urban, infra-urban, embodied and emotional Islamophobias as well as their complex interrelationships. It also offer a critical discussion of the geographies of Islamophobia by pointing out the lack of geographical approaches to Islamophobia Studies. By using self-reflexivity, the author raises important questions that may have hampered the study of ‘Spatialized Islamophobia’, focusing in particular on the favoured methodologies which too often remain qualitative, as well as on the whiteness of the discipline of Geography which can disrupt the legitimacy of a certain knowledge. The book will be an important reference for those in the fields of Human Geography, Sociology, Politics, Racial Studies, Religious Studies and Muslim studies.
Spatially Explicit Hyperparameter Optimization for Neural Networks
by Minrui ZhengNeural networks as the commonly used machine learning algorithms, such as artificial neural networks (ANNs) and convolutional neural networks (CNNs), have been extensively used in the GIScience domain to explore the nonlinear and complex geographic phenomena. However, there are a few studies that investigate the parameter settings of neural networks in GIScience. Moreover, the model performance of neural networks often depends on the parameter setting for a given dataset. Meanwhile, adjusting the parameter configuration of neural networks will increase the overall running time. Therefore, an automated approach is necessary for addressing these limitations in current studies. This book proposes an automated spatially explicit hyperparameter optimization approach to identify optimal or near-optimal parameter settings for neural networks in the GIScience field. Also, the approach improves the computing performance at both model and computing levels. This book is written for researchers of the GIScience field as well as social science subjects.