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  • 1
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Big data. ; Database management. ; Algorithms. ; Data mining. ; Geographical Information System. ; Big Data. ; Database Management. ; Algorithms. ; Data Mining and Knowledge Discovery.
    Description / Table of Contents: Chapter 1: Introduction -- Chapter 2: Remote Sensing -- Chapter 3: Special Features of Remote Sensing Big Data -- Chapter 4: Remote Sensing Big Data Collection Challenges and Cyberinfrastructure and Sensor Web Solutions -- Chapter 5: Remote Sensing Big Data Computing -- Chapter 6: Remote Sensing Big Data Management -- Chapter 7: Standards for Big Data Management -- Chapter 8: Implementation Examples of Big Data Management Systems for Remote Sensing -- Chapter 9: Big Data Analytics for Remote Sensing-Concepts and standards -- Chapter 10: Big Data Analytic Platforms -- Chapter 11: Algorithmic Design Considerations of Big Data Analytics -- Chapter 12: Machine learning and data mining algorithms for geospatial big data -- Chapter 13: Modeling, prediction, and decision making based on remote sensing big data -- Chapter 14: Examples of remote sensing applications of big data analytics-fusion of diverse earth observation data -- Chapter 15: Examples of remote sensing applications of big data analytics-agricultural drought monitoring and forecasting -- Chapter 16: Examples of remote sensing applications of big data analytics-land cover time series creation -- Chapter 17: Geospatial big data initiatives in the world -- Chapter 18: Challenges and opportunities in remote sensing big data.
    Abstract: This monograph provides comprehensive coverage of the collection, management, and use of big data obtained from remote sensing. The book begins with an introduction to the basics of big data and remote sensing, laying the groundwork for the more specialized information to follow. The volume then goes on to address a wide variety of topics related to the use and management of remote sensing big data, including hot topics such as analysis through machine learning, cyberinfrastructure, and modeling. Examples on how to use the results of big data analysis of remotely sensed data for concrete decision-making are offered as well. The closing chapters discuss geospatial big data initiatives throughout the world and future challenges and opportunities for remote sensing big data applications. The audience for this book includes researchers at the intersection of geoscience and data science, senior undergraduate and graduate students, and anyone else interested in how large datasets obtained through remote sensing can be best utilized. The book presents a culmination of 30 years of research from renowned spatial scientists Drs. Liping Di and Eugene Yu.
    Type of Medium: Online Resource
    Pages: XI, 295 p. 104 illus., 95 illus. in color. , online resource.
    Edition: 1st ed. 2023.
    ISBN: 9783031339325
    Series Statement: Springer Remote Sensing/Photogrammetry,
    DDC: 910.285
    Language: English
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  • 2
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Environmental geography. ; Public health. ; Big data. ; Epidemiology. ; Geographical Information System. ; Integrated Geography. ; Public Health. ; Big Data. ; Epidemiology.
    Description / Table of Contents: Chapter 1-Building the analytic toolbox-from spatial analytics to spatial statistical inference with geospatial data -- Chapter 2-Spatial data integration to better represent pollutants for environmental health studies -- Chapter 3-Spatial health data analysis-data driven and model driven approaches. Chapter 4 -- Machine learning, big data and spatial tools-a combination to reveal complex facts that impact environmental health -- Chapter 5-Spatial aspects of seasonality and infectious diseases -- Chapter 6-Earth observation data and technology to model influenza epidemiology -- Chapter 7-Trend of geospatial technology in environmental health application-from public health to individual healthcare -- Chapter 8-Geospatial technology to analyze human well-being and its eco-social determinants -- Chapter 9-Spatial components of population health -- Chapter 10-Geospatial technology in medical geology -- Chapter 11-Geospatial technology in planning and operations of telehealth programs -- Chapter 12-Integrating GIS, toxicology, microbiology and geochemistry-a multidisciplinary integrated approach for better understanding the public health issues.
    Abstract: Over the last thirty years or so, there have been tremendous advancements in the area of geospatial health; however, somehow, two aspects have not received as much attention as they should have received. These are a) limitations of different spatial analytical tools and b) progress in making geospatial environmental exposure data available for advanced health science research and for medical practice. This edited volume addresses those two less explored areas of geospatial health with augmented discussions on the theories, methodologies and limitations of contemporary geospatial technologies in a wide range of applications related to human well-being and health. In 20 chapters, readers are presented with an up-to-date assessment of geospatial technologies with an emphasis on understanding general geospatial principles and methodologies that are often overlooked in the research literature. As a result, this book will be of interest to both newcomers and experts in geospatial analysis and will appeal to students and researchers engaged in studying human well-being and health. Chapters are presenting new concepts, new analytical methods and contemporary applications within the framework of geospatial applications in human well-being and health. The topics addressed by the various chapter authors include analytical approaches, newer areas of geospatial health application, introduction to unique resources, geospatial modeling, and environmental pollution assessments for air, water and soil. Although geospatial experts are expected to be the primary readers, this book is designed in such a way so that the public health professionals, environmental health scientists and clinicians also find it useful with or without any familiarity with geospatial analysis.
    Type of Medium: Online Resource
    Pages: XVIII, 417 p. 141 illus. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783030713775
    DDC: 910.285
    Language: English
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  • 3
    Keywords: Geographic information systems. ; Big data. ; Data mining. ; Architecture. ; Design. ; Urban ecology (Biology). ; Geographical Information System. ; Big Data. ; Data Mining and Knowledge Discovery. ; Architecture. ; Design. ; Urban Ecology.
    Description / Table of Contents: The introduction to informed urban environments -- The bigger picture en route to informed urban environments -- How we see now: Traversing a data-mosaic -- The role of information modelling and computational ontologies to support the design, planning and management of urban environments: Current status and future challenges -- Urban adaptation – Insights from information physics and complex system dynamics -- Decoding cool urban forms: Using open data to build a dialogue between microclimate and configurational morphology in urban environments -- From Amsterdam to New Amsterdam to Amsterdam: How urban mobility shapes cities -- urban microclimate spatiotemporal mapping: A method to evaluate thermal comfort availability in urban ecosystems -- Urban ecosystems and nature-based solutions: The role of data in optimizing the provision of ecosystem services -- Smart urban forestry: Is it the future?- Big data and decision support in rural and urban agriculture.
    Abstract: This book collects ground-breaking works on the actual and potential impact of big data and data-integrated design for resilient urban environments, including human- and ecology-centred perspectives. Comprehending and designing for urban social, demographic and environmental change is a complex task. Big data, data structuring, data analysis (i.e. AI and ML) and data-integrated design can play a significant role in advancing approaches to this task. The themes presented in this book include urban adaptation, urban morphology, urban mobility, urban ecosystems, urban climate, urban ecology and agriculture. Given the compound nature of complex sustainability problems, most chapters address the correlation between several of these themes. The book addresses practitioners, researchers and graduate students concerned with the rapidly increasing role of data in developing urban environments.
    Type of Medium: Online Resource
    Pages: XI, 195 p. 39 illus., 34 illus. in color. , online resource.
    Edition: 1st ed. 2022.
    ISBN: 9783031038037
    Series Statement: The Urban Book Series,
    DDC: 910.285
    Language: English
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  • 4
    Online Resource
    Online Resource
    Cham :Springer International Publishing :
    Keywords: Geographic information systems. ; Big data. ; System theory. ; Computer simulation. ; Environment. ; Landscape ecology. ; Geographical Information System. ; Big Data. ; Complex Systems. ; Computer Modelling. ; Environmental Sciences. ; Landscape Ecology.
    Abstract: This volume fills a research gap between the rapid development of High Performance Computing (HPC) approaches and their geospatial applications. With a focus on geospatial applications, the book discusses in detail how researchers apply HPC to tackle their geospatial problems. Based on this focus, the book identifies the opportunities and challenges revolving around geospatial applications of HPC. Readers are introduced to the fundamentals of HPC, and will learn how HPC methods are applied in various specific areas of geospatial study. The book begins by discussing theoretical aspects and methodological uses of HPC within a geospatial context, including parallel algorithms, geospatial data handling, spatial analysis and modeling, and cartography and geovisualization. Then, specific domain applications of HPC are addressed in the contexts of earth science, land use and land cover change, urban studies, transportation studies, and social science. The book will be of interest to scientists and engineers who are interested in applying cutting-edge HPC technologies in their respective fields, as well as students and faculty engaged in geography, environmental science, social science, and computer science.
    Type of Medium: Online Resource
    Pages: XIII, 296 p. 94 illus., 70 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9783030479985
    Series Statement: Geotechnologies and the Environment, 23
    DDC: 910.285
    Language: English
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  • 5
    Online Resource
    Online Resource
    Singapore :Springer Nature Singapore :
    Keywords: Geographic information systems. ; Physical geography. ; Computer networks . ; Big data. ; Sustainability. ; Climatology. ; Geographical Information System. ; Earth System Sciences. ; Computer Communication Networks. ; Big Data. ; Sustainability. ; Climate Sciences.
    Description / Table of Contents: Understanding Digital Earth -- Part I Digital Earth Technologies -- Digital Earth Platforms -- Remote Sensing -- Satellites for Digital Earth -- Satellite Navigation for Digital Earth -- Geospatial Information Infrastructures -- Geospatial Information Processing Technologies -- Geospatial Information Visualization and Extended Reality Displays -- Transformation in Scale for Continuous Zooming -- Big Data and Cloud Computing -- Artificial Intelligence -- Internet of Things -- Social Media and Social Awareness -- Part II Digital Earth for Multi-domain Applications -- Digital Earth for Sustainable Development Goals -- Digital Earth for Climate Change Research -- Digital Earth for Disaster Mitigation Research -- Digital City: An Urban Perspective on Digital Earth -- Digital Heritage -- Citizen Science in Support of Digital Earth -- The Economic Value of Digital Earth -- Part III Digital Earth Regional & National Development -- Digital Earth in Europe -- Digital Earth in Australia -- Digital Earth in China -- Digital Earth in Russia -- Part IV Digital Earth Education and Ethics -- Digital Earth Education -- Digital Earth Ethics.
    Abstract: This open access book offers a summary of the development of Digital Earth over the past twenty years. By reviewing the initial vision of Digital Earth, the evolution of that vision, the relevant key technologies, and the role of Digital Earth in helping people respond to global challenges, this publication reveals how and why Digital Earth is becoming vital for acquiring, processing, analysing and mining the rapidly growing volume of global data sets about the Earth. The main aspects of Digital Earth covered here include: Digital Earth platforms, remote sensing and navigation satellites, processing and visualizing geospatial information, geospatial information infrastructures, big data and cloud computing, transformation and zooming, artificial intelligence, Internet of Things, and social media. Moreover, the book covers in detail the multi-layered/multi-faceted roles of Digital Earth in response to sustainable development goals, climate changes, and mitigating disasters, the applications of Digital Earth (such as digital city and digital heritage), the citizen science in support of Digital Earth, the economic value of Digital Earth, and so on. This book also reviews the regional and national development of Digital Earth around the world, and discusses the role and effect of education and ethics. Lastly, it concludes with a summary of the challenges and forecasts the future trends of Digital Earth. By sharing case studies and a broad range of general and scientific insights into the science and technology of Digital Earth, this book offers an essential introduction for an ever-growing international audience.
    Type of Medium: Online Resource
    Pages: XIX, 852 p. 422 illus., 255 illus. in color. , online resource.
    Edition: 1st ed. 2020.
    ISBN: 9789813299153
    DDC: 910.285
    Language: English
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