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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 Joseph J. Kerski Sandra L. Arlinghaus 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.
Spatial-Economic Metamorphosis of a Nebula City: Schiphol and the Schiphol Region During the 20th Century (Routledge Studies in Human Geography #163)
by Abderrahman El MakhloufiThis book analyses the long term spatial-economic metamorphosis of Schiphol and the Schiphol region as archetypal for a wider international phenomenon of urban development of metropolises across the world. It study the origins and course of urban development process by identifying and explaining which (collective) arrangements, including their ambient factors and the visual representations of the city and urbanity, have influenced this metamorphosis in a decisive manner.
Spatial-Temporal Evolution of Mining-Induced Rock Damage and Ground Control of Roadways
by Jian Tao Yujing Jiang Zhijie Wen Zhenqi Song Yujun ZuoThis open access book presents the Coal remains the primary energy source in China, with an estimated total coal reserve of 59 trillion tons at depths of less than 2000 meters. Among these, over 50% lie at depths exceeding 1000 meters, primarily distributed in central and eastern China. Deep coal mining has become the new norm for the coal industry&’s development and resource exploitation. To ensure energy supply for the rapid economic development of central and eastern regions, mining coal resources from depths of over 1000 meters is inevitable. This endeavor holds significant strategic importance for safeguarding national energy security and supporting regional economic growth. However, mining-induced hazards, such as rock bursts, water inrushes, and roof collapses, continue to occur frequently in both local and state-owned coal mines. These incidents pose severe threats to the safety of coal production, tarnish the reputation of China's mining industry, and hinder its development. Therefore, advancing mining engineering—especially the theories of major accident prediction and control—is essential. A deeper understanding of the dynamic processes underlying mining-induced pressure and strata movement is necessary. Promoting safe and efficient coal mining through informed decision-making and management supported by scientific, quantitative methods is a critical and urgent task. Achieving informatization, intelligence, and visualization in mining operations will be key to fundamentally addressing the current safety challenges in China's mining industry. In recent years, the author and their team have conducted in-depth studies on models of dynamic disasters and surrounding rock control in deep mines, supported by projects under the National Basic Research Program (973 Program), the National Key R&D Program, as well as talent and general research funds and specialized consultancy projects from the Chinese Academy of Sciences. The main research focuses include constructing spatial structural models of overlying strata in mining areas, analyzing the spatiotemporal evolution of mining-induced stress, and developing proactive control technologies for dynamic disasters in mining areas. This book aims to provide foundational insights into the occurrence and control of major mining accidents. It proposes a decision-making framework for predicting and managing such disasters by controlling the movement of surrounding rock and stress conditions induced by mining. These efforts are expected to provide a reference for advancing research in related fields.
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.
Spatio-Temporal Models for Ecologists (Chapman & Hall/CRC Applied Environmental Statistics)
by James Thorson Kasper KristensenEcological dynamics are tremendously complicated and are studied at a variety of spatial and temporal scales. Ecologists often simplify analysis by describing changes in density of individuals across a landscape, and statistical methods are advancing rapidly for studying spatio-temporal dynamics. However, spatio-temporal statistics is often presented using a set of principles that may seem very distant from ecological theory or practice. This book seeks to introduce a minimal set of principles and numerical techniques for spatio-temporal statistics that can be used to implement a wide range of real-world ecological analyses regarding animal movement, population dynamics, community composition, causal attribution, and spatial dynamics. We provide a step-by-step illustration of techniques that combine core spatial-analysis packages in R with low-level computation using Template Model Builder. Techniques are showcased using real-world data from varied ecological systems, providing a toolset for hierarchical modelling of spatio-temporal processes. Spatio-Temporal Models for Ecologists is meant for graduate level students, alongside applied and academic ecologists.Key Features: Foundational ecological principles and analyses Thoughtful and thorough ecological examples Analyses conducted using a minimal toolbox and fast computation Code using R and TMB included in the book and available online
Spatio-temporal Approaches
by Lena Sanders Hél Ne MathianSpatio-temporal Approaches presents a well-built set of concepts, methods and approaches, in order to represent and understand the evolution of social and environmental phenomena within the space. It is basedon examples in human geography and archeology (which will enable us to explore questions regarding various temporalities) and tackles social and environmental phenomena. Chapter 1 discusses how to apprehend change: objects, attributes, relations, processes.Chapter 2 introduces multiple points of view about modeling and the authors try to shed a new light on the different, but complementary approaches of geomaticians and thematicians. Chapter 3 is devoted to the construction of spatio-temporal indicators, to various measurements of the change, while highlighting the advantage of an approach crossing several points of view, in order to understand the phenomenon at hand. Chapter 4 presents different categories of simulation model in line with complexity sciences. These models rely notably on the concepts of emergence and self-organization and allow us to highlight the roles of interaction within change. Chapter 5 provides ideas on research concerning the various construction approaches of hybrid objects and model couplings.
Spatio-temporal Trend Analysis of Rainfall using R Software and ArcGIS: A Case Study of an Agro-climatic Zone-1 of Gujarat, India (SpringerBriefs in Climate Studies)
by K. Naveena Ramiz Tasiya Shilpesh RanaThis book aims to provide an advanced R software approach that can carry out rainfall trend analysis using Mann-Kendall and Sen’s slope estimator tests. The research study follows a systematic approach while utilizing R software as it can greatly facilitate the analysis of rainfall trends. About 30 stations located in the study area and 41 to 50 years’ time series were selected for the purpose of analysis. The data for the research was collected from the State Water Data Centre (SWDC) in Gujarat, Indian Meteorological Department (IMD) in Pune, DAAC (NASA), and ESRI. Cluster analysis has been performed to analyze the variability of the mean rainfall. The stations have been divided into 2 clusters with 17 and 13 stations in each cluster which significantly differ from each other. This book is aimed at researchers, scientists and government organizations working in the field of climate change.
Spationomy: Spatial Exploration of Economic Data and Methods of Interdisciplinary Analytics
by Carsten Jürgens Vít Pászto Polona Tominc Jaroslav BurianThis open access book is based on "Spationomy – Spatial Exploration of Economic Data", an interdisciplinary and international project in the frame of ERASMUS+ funded by the European Union. The project aims to exchange interdisciplinary knowledge in the fields of economics and geomatics. For the newly introduced courses, interdisciplinary learning materials have been developed by a team of lecturers from four different universities in three countries. In a first study block, students were taught methods from the two main research fields. Afterwards, the knowledge gained had to be applied in a project. For this international project, teams were formed, consisting of one student from each university participating in the project. The achieved results were presented in a summer school a few months later. At this event, more methodological knowledge was imparted to prepare students for a final simulation game about spatial and economic decision making. In a broader sense, the chapters will present the methodological background of the project, give case studies and show how visualisation and the simulation game works.
Spatiotemporal Analytics
by Jay LeeThis book introduces readers to spatiotemporal analytics that are extended from spatial statistics. Spatiotemporal analytics help analysts to quantitatively recognize and evaluate the spatial patterns and their temporal trends of a set of geographic events or objects. Spatiotemporal analyses are very important in geography, environmental sciences, economy, and many other domains. Spatiotemporal Analytics explains in very simple terms the concepts of spatiotemporal data and statistics, theories, and methods used. Each chapter introduces a case study as an example application for an in-depth learning process. The software used and the codes provided enable readers not only to learn statistics but also to use them effectively in their projects. • Provides a comprehensive understanding of spatiotemporal analytics to readers with minimum knowledge in statistics. • Written in simple, understandable language with step-by-step instructions. • Includes numerous examples for all theories and methods explained in the book covering a wide range of applications from different disciplines. • Each application includes a software code needed to follow the instructions. • Each chapter also has a set of prepared PowerPoint slides to help spatiotemporal analytics instructors explain the content. Undergraduate and graduate students who use Geographic Information Systems or study Geographical Information Science will find this book useful. The subject matter is also pertinent to an array of disciplines such as agriculture, anthropology, archaeology, architecture, biology, business administration and management, civic engineering, criminal justice, epidemiology, geography, geology, marketing, political science, and public health.
Spatiotemporal Data Analysis
by Gidon EshelA severe thunderstorm morphs into a tornado that cuts a swath of destruction through Oklahoma. How do we study the storm's mutation into a deadly twister? Avian flu cases are reported in China. How do we characterize the spread of the flu, potentially preventing an epidemic? The way to answer important questions like these is to analyze the spatial and temporal characteristics--origin, rates, and frequencies--of these phenomena. This comprehensive text introduces advanced undergraduate students, graduate students, and researchers to the statistical and algebraic methods used to analyze spatiotemporal data in a range of fields, including climate science, geophysics, ecology, astrophysics, and medicine. Gidon Eshel begins with a concise yet detailed primer on linear algebra, providing readers with the mathematical foundations needed for data analysis. He then fully explains the theory and methods for analyzing spatiotemporal data, guiding readers from the basics to the most advanced applications. This self-contained, practical guide to the analysis of multidimensional data sets features a wealth of real-world examples as well as sample homework exercises and suggested exams.
Spatiotemporal Dynamics of Meteorological and Agricultural Drought in China
by Yi Li Guang Yang Asim Biswas Faliang Yuan Qiang Zhou Fenggui Liu Zhihao LiaoThis book explores spatiotemporal analysis and impact assessment of agricultural drought in China and investigates the correlation coefficient between meteorological drought and agricultural drought. It then conducts multivariate frequency analysis of drought events using drought indices and copula functions. It aims to reveal spatiotemporal characteristics and impacts of agricultural drought in China both on vegetation phenology and productivity. The book assesses the performances of drought indices for better predicting multi-year droughts and return periods and drought risk assessment.
Spatiotemporal Frequent Pattern Mining from Evolving Region Trajectories (SpringerBriefs in Computer Science)
by Berkay Aydin Rafal. A AngrykThis SpringerBrief provides an overview within data mining of spatiotemporal frequent pattern mining from evolving regions to the perspective of relationship modeling among the spatiotemporal objects, frequent pattern mining algorithms, and data access methodologies for mining algorithms. While the focus of this book is to provide readers insight into the mining algorithms from evolving regions, the authors also discuss data management for spatiotemporal trajectories, which has become increasingly important with the increasing volume of trajectories.This brief describes state-of-the-art knowledge discovery techniques to computer science graduate students who are interested in spatiotemporal data mining, as well as researchers/professionals, who deal with advanced spatiotemporal data analysis in their fields. These fields include GIS-experts, meteorologists, epidemiologists, neurologists, and solar physicists.
Spatiotemporal Patterns in Ecology and Epidemiology: Theory, Models, and Simulation (Chapman & Hall/CRC Mathematical Biology Series)
by Horst Malchow Sergei V. Petrovskii Ezio VenturinoAlthough the spatial dimension of ecosystem dynamics is now widely recognized, the specific mechanisms behind species patterning in space are still poorly understood and the corresponding theoretical framework is underdeveloped. Going beyond the classical Turing scenario of pattern formation, Spatiotemporal Patterns in Ecology and Epidemiology:
Spatiotemporal Processes of Plant Phenology
by Xiaoqiu ChenThisbook deals with phenology, the study of recurring biological life cycle stages,and especially their timing and relationships with biotic and abiotic forces. Given the theoretical and methodologicalinnovations involved, the chapters on defining spatiotemporal patterns of plantphenology and constructing daily temperature-based temporal/spatial models andprocess-based regional unified models will be of particular interest. Helping readers discover and explore plant phenology'sperspectives in terms of spatiotemporal patterns, processes and mechanisms, thebook will also equip young scientists and graduate students to understand thecauses of spatiotemporal variation in vegetation seasonality.
Spatiotemporal Processes of Plant Phenology: Simulation and Prediction (SpringerBriefs in Geography)
by Xiaoqiu ChenThis book deals with phenology, the study of recurring biological life cycle stages, and especially their timing and relationships with biotic and abiotic forces. Given the theoretical and methodological innovations involved, the chapters on defining spatiotemporal patterns of plant phenology and constructing daily temperature-based temporal/spatial models and process-based regional unified models will be of particular interest. Helping readers discover and explore plant phenology’s perspectives in terms of spatiotemporal patterns, processes and mechanisms, the book will also equip young scientists and graduate students to understand the causes of spatiotemporal variation in vegetation seasonality.
Spatiotemporal Transportation Economics Development: Theories and Practices in China and Beyond
by Hongchang LiThis book focuses on the analysis of transportation economics development with spatiotemporal characteristics in both theory and practice. The comprehensive and general theory development, practical transportation events and policy implications are addressed. The book pursues three main objectives: firstly, to structurally describe the overall spatiotemporal transportation theory development; secondly, to break down transportation elements and transportation modes into railway, highway, water, civil aviation, pipeline and urban transportation for the purposes of in-depth professional analysis; and thirdly, to summarize transportation trends including car-hailing, shared bicycles, etc., in China to reveal their policy implications.
Speaking of Forms of Life: The Language of Conservation (Fascinating Life Sciences)
by Daniel Guevara Claudio CampagnaHumans pose an unprecedented threat to life in all its great diversity of forms. The human-induced extinction rate has been compared to “mass extinctions” of the past. But this language masks the fact that the crisis is due to voluntary, and thus, avoidable choices and actions. “Speaking of Forms of Life” shows that at the root of this crisis is the tragic inadequacy of the language predominantly used to represent and address what we are doing, including the language of “sustainable development,” “rights” for animals and the rest of nature, their “intrinsic value,” and conservation of species as “populations.” This talk alienates us from the other living things, from what they actually are, have and do, and it perpetuates the harm and loss. Campagna and Guevara compellingly argue, on rigorous but accessible grounds, that there is an alternative language to guide conservation, in confronting the radically urgent, ethical issues it faces. This is a language with which we are all familiar, mastered by naturalists, from Aristotle to Audubon. It articulates the primary value in life and the standard that must guide how human beings should live, as one form of life, among countless others. This book is a homecoming for those who practice conservation to, above all else, secure a creature’s ability to satisfy the necessities of its form of life.
Speaking on Climate: A Guide to Speechwriting for a Better Future
by Rune Kier NielsenA Junior Library Guild Gold Standard Selection What makes a good speech? Better yet, what makes an effective speech? A speech can inform, entertain, educate. But effective speeches inspire an audience to act and build a sense of community. The climate crisis is a pressing issue, and the ability to successfully communicate about it is crucial to bring people together to make meaningful change. Discover how to stand up, speak your mind, and encourage your audience past climate silence. By analyzing speeches and how they worked, social anthropologist and professional speechwriter Rune Kier Nielsen breaks down nine common flaws of climate rhetoric and how to fix them in this thorough, engaging guide to speechwriting toward climate action. "A lively, concise, and practical antidote to climate anxiety and a guide to positive action."—Kirkus Reviews "Speaking on Climate by Rune Kier Nielsen is a crucial guide for anyone committed to using the power of words to drive meaningful climate action."—Ingmar Rentzhog, founder & CEO, Wedonthavetime.org "Rune Kier Nielsen's Speaking on Climate inspires readers' passion for climate change and equips them with the tools to communicate effectively."—S. Kelley Harrell, author of From Elder to Ancestor: Nature Kinship for All Seasons of Life
Speaking with Nature: The Origins of Indian Environmentalism
by Ramachandra GuhaFrom one of the world&’s leading historians comes the first substantial study of environmentalism set in any country outside the Euro-American world By the canons of orthodox social science, countries like India are not supposed to have an environmental consciousness. They are, as it were, &“too poor to be green.&” In this deeply researched book, Ramachandra Guha challenges this narrative by revealing a virtually unknown prehistory of the global movement set far outside Europe or America. Long before the publication of Rachel Carson&’s Silent Spring and well before climate change, ten remarkable individuals wrote with deep insight about the dangers of environmental abuse from within an Indian context. In strikingly contemporary language, Rabindranath Tagore, Radhakamal Mukerjee, J. C. Kumarappa, Patrick Geddes, Albert and Gabrielle Howard, Mira, Verrier Elwin, K. M. Munshi, and M. Krishnan wrote about the forest and the wild, soil and water, urbanization and industrialization. Positing the idea of what Guha calls &“livelihood environmentalism&” in contrast to the &“full-stomach environmentalism&” of the affluent world, these writers, activists, and scientists played a pioneering role in shaping global conversations about humanity&’s relationship with nature. Spanning more than a century of Indian history, and decidedly transnational in reference, this book offers rich resources for considering the threat of climate change today.
Special Functions in Physics with MATLAB
by Wolfgang SchweizerThis handbook focuses on special functions in physics in the real and complex domain. It covers more than 170 different functions with additional numerical hints for efficient computation, which are useful to anyone who needs to program with other programming languages as well. The book comes with MATLAB-based programs for each of these functions and a detailed html-based documentation. Some of the explained functions are: Gamma and Beta functions; Legendre functions, which are linked to quantum mechanics and electrodynamics; Bessel functions; hypergeometric functions, which play an important role in mathematical physics; orthogonal polynomials, which are largely used in computational physics; and Riemann zeta functions, which play an important role, e.g., in quantum chaos or string theory. The book’s primary audience are scientists, professionals working in research areas of industries, and advanced students in physics, applied mathematics, and engineering.