Handbook Of Big Geospatial Data

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Handbook of Big Geospatial Data

Author : Martin Werner
Publisher : Springer Nature
ISBN 13 : 3030554627
Total Pages : 641 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Handbook of Big Geospatial Data by : Martin Werner

Download or read book Handbook of Big Geospatial Data written by Martin Werner and published by Springer Nature. This book was released on 2021-05-07 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook covers a wide range of topics related to the collection, processing, analysis, and use of geospatial data in their various forms. This handbook provides an overview of how spatial computing technologies for big data can be organized and implemented to solve real-world problems. Diverse subdomains ranging from indoor mapping and navigation over trajectory computing to earth observation from space, are also present in this handbook. It combines fundamental contributions focusing on spatio-textual analysis, uncertain databases, and spatial statistics with application examples such as road network detection or colocation detection using GPUs. In summary, this handbook gives an essential introduction and overview of the rich field of spatial information science and big geospatial data. It introduces three different perspectives, which together define the field of big geospatial data: a societal, governmental, and governance perspective. It discusses questions of how the acquisition, distribution and exploitation of big geospatial data must be organized both on the scale of companies and countries. A second perspective is a theory-oriented set of contributions on arbitrary spatial data with contributions introducing into the exciting field of spatial statistics or into uncertain databases. A third perspective is taking a very practical perspective to big geospatial data, ranging from chapters that describe how big geospatial data infrastructures can be implemented and how specific applications can be implemented on top of big geospatial data. This would include for example, research in historic map data, road network extraction, damage estimation from remote sensing imagery, or the analysis of spatio-textual collections and social media. This multi-disciplinary approach makes the book unique. This handbook can be used as a reference for undergraduate students, graduate students and researchers focused on big geospatial data. Professionals can use this book, as well as practitioners facing big collections of geospatial data.

Big Data Computing for Geospatial Applications

Author : Zhenlong Li
Publisher :
ISBN 13 : 9783039432455
Total Pages : 222 pages
Book Rating : 4.4/5 (324 download)

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Book Synopsis Big Data Computing for Geospatial Applications by : Zhenlong Li

Download or read book Big Data Computing for Geospatial Applications written by Zhenlong Li and published by . This book was released on 2020 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

Big Data

Author : Hassan A. Karimi
Publisher : CRC Press
ISBN 13 : 1466586559
Total Pages : 312 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Big Data by : Hassan A. Karimi

Download or read book Big Data written by Hassan A. Karimi and published by CRC Press. This book was released on 2014-02-18 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data has always been a major challenge in geoinformatics as geospatial data come in various types and formats, new geospatial data are acquired very fast, and geospatial databases are inherently very large. And while there have been advances in hardware and software for handling big data, they often fall short of handling geospatial big data ef

Big Data Computing for Geospatial Applications

Author : Zhenlong Li
Publisher : MDPI
ISBN 13 : 3039432443
Total Pages : 222 pages
Book Rating : 4.0/5 (394 download)

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Book Synopsis Big Data Computing for Geospatial Applications by : Zhenlong Li

Download or read book Big Data Computing for Geospatial Applications written by Zhenlong Li and published by MDPI. This book was released on 2020-11-23 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of big data and geospatial computing has brought forth challenges and opportunities to Geographic Information Science with regard to geospatial data management, processing, analysis, modeling, and visualization. This book highlights recent advancements in integrating new computing approaches, spatial methods, and data management strategies to tackle geospatial big data challenges and meanwhile demonstrates opportunities for using big data for geospatial applications. Crucial to the advancements highlighted in this book is the integration of computational thinking and spatial thinking and the transformation of abstract ideas and models to concrete data structures and algorithms.

Geospatial Data Analytics and Urban Applications

Author : Sandeep Narayan Kundu
Publisher :
ISBN 13 : 9789811676505
Total Pages : 0 pages
Book Rating : 4.6/5 (765 download)

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Book Synopsis Geospatial Data Analytics and Urban Applications by : Sandeep Narayan Kundu

Download or read book Geospatial Data Analytics and Urban Applications written by Sandeep Narayan Kundu and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book highlights advanced applications of geospatial data analytics to address real-world issues in urban society. With a connected world, we are generating spatial at unprecedented rates which can be harnessed for insightful analytics which define the way we analyze past events and define the future directions. This book is an anthology of applications of spatial data and analytics performed on them for gaining insights which can be used for problem solving in an urban setting. Each chapter is contributed by spatially aware data scientists in the making who present spatial perspectives drawn on spatial big data. The book shall benefit mature researchers and student alike to discourse a variety of urban applications which display the use of machine learning algorithms on spatial big data for real-world problem solving.

Handbook of Geospatial Artificial Intelligence

Author : Song Gao
Publisher : CRC Press
ISBN 13 : 1003814921
Total Pages : 469 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Handbook of Geospatial Artificial Intelligence by : Song Gao

Download or read book Handbook of Geospatial Artificial Intelligence written by Song Gao and published by CRC Press. This book was released on 2023-12-29 with total page 469 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive handbook covers Geospatial Artificial Intelligence (GeoAI), which is the integration of geospatial studies and AI machine (deep) learning and knowledge graph technologies. It explains key fundamental concepts, methods, models, and technologies of GeoAI, and discusses the recent advances, research tools, and applications that range from environmental observation and social sensing to natural disaster responses. As the first single volume on this fast-emerging domain, Handbook of Geospatial Artificial Intelligence is an excellent resource for educators, students, researchers, and practitioners utilizing GeoAI in fields such as information science, environment and natural resources, geosciences, and geography. Features Provides systematic introductions and discussions of GeoAI theory, methods, technologies, applications, and future perspectives Covers a wide range of GeoAI applications and case studies in practice Offers supplementary materials such as data, programming code, tools, and case studies Discusses the recent developments of GeoAI methods and tools Includes contributions written by top experts in cutting-edge GeoAI topics This book is intended for upper-level undergraduate and graduate students from different disciplines and those taking GIS courses in geography or computer sciences as well as software engineers, geospatial industry engineers, GIS professionals in non-governmental organizations, and federal/state agencies who use GIS and want to learn more about GeoAI advances and applications.

Geospatial Data Science Techniques and Applications

Author : Hassan A. Karimi
Publisher : CRC Press
ISBN 13 : 1351855980
Total Pages : 375 pages
Book Rating : 4.3/5 (518 download)

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Book Synopsis Geospatial Data Science Techniques and Applications by : Hassan A. Karimi

Download or read book Geospatial Data Science Techniques and Applications written by Hassan A. Karimi and published by CRC Press. This book was released on 2017-10-24 with total page 375 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science has recently gained much attention for a number of reasons, and among them is Big Data. Scientists (from almost all disciplines including physics, chemistry, biology, sociology, among others) and engineers (from all fields including civil, environmental, chemical, mechanical, among others) are faced with challenges posed by data volume, variety, and velocity, or Big Data. This book is designed to highlight the unique characteristics of geospatial data, demonstrate the need to different approaches and techniques for obtaining new knowledge from raw geospatial data, and present select state-of-the-art geospatial data science techniques and how they are applied to various geoscience problems.

Volunteered Geographic Information and the Future of Geospatial Data

Author : Calazans Campelo, Cláudio Elízio
Publisher : IGI Global
ISBN 13 : 1522524479
Total Pages : 357 pages
Book Rating : 4.5/5 (225 download)

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Book Synopsis Volunteered Geographic Information and the Future of Geospatial Data by : Calazans Campelo, Cláudio Elízio

Download or read book Volunteered Geographic Information and the Future of Geospatial Data written by Calazans Campelo, Cláudio Elízio and published by IGI Global. This book was released on 2017-03-01 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geographic data is a valuable source of information in modern society. By utilizing alternative sources of this data, the availability and potential applications of geographic information systems can be increased. Volunteered Geographic Information and the Future of Geospatial Data is a pivotal reference source for the latest scholarly research on information gathering from volunteers, as opposed to official agencies and private companies, to compile geospatial data. Highlighting a range of pertinent topics such as regional landscape mapping, road safety, and land usage, this book is ideally designed for researchers, academics, students, professionals, and practitioners interested in the growing area of volunteered geographic information.

Big Data Applications in Geography and Planning

Author : Mark Birkin
Publisher : Edward Elgar Publishing
ISBN 13 : 1789909791
Total Pages : 288 pages
Book Rating : 4.7/5 (899 download)

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Book Synopsis Big Data Applications in Geography and Planning by : Mark Birkin

Download or read book Big Data Applications in Geography and Planning written by Mark Birkin and published by Edward Elgar Publishing. This book was released on 2021-05-28 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This unique book demonstrates the utility of big data approaches in human geography and planning. Offering a carefully curated selection of case studies, it reveals how researchers are accessing big data, what this data looks like and how such data can offer new and important insights and knowledge.

Springer Handbook of Geographic Information

Author : Wolfgang Kresse
Publisher : Springer Nature
ISBN 13 : 3030531252
Total Pages : 985 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Springer Handbook of Geographic Information by : Wolfgang Kresse

Download or read book Springer Handbook of Geographic Information written by Wolfgang Kresse and published by Springer Nature. This book was released on 2022-06-24 with total page 985 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an exhaustive, one-stop reference and a state-of-the-art description of geographic information and its use. This new, substantially updated edition presents a complete and rigorous overview of the fundamentals, methods and applications of the multidisciplinary field of geographic information systems. Designed to be a useful and readable desk reference book, but also prepared in various electronic formats, this title allows fast yet comprehensive review and easy retrieval of essential reliable key information. The Springer Handbook of Geographic Information is divided into three parts. Part A, Basics and Computer Science, provides an overview on the fundamentals, including descriptions of databases and encoding of geographic information. It also covers the underlying mathematical and statistics methods and modeling. A new chapter exemplifies the emerging use and analysis of big data in a geographic context. Part B offers rigorous descriptions of gathering, processing and coding of geographic information in a standardized way to allow interoperable use in a variety of systems; from traditional methods such as geodesy and surveying to state-of-the-art remote sensing and photogrammetry; from cartography to geospatial web services. Discussions on geosemantic interoperability and security of open distributed geospatial information systems complete the comprehensive coverage. The final part describes a wide array of applications in science, industry and society at large, such as agriculture, defense, transportation, energy and utilities, health and human services. The part is enhanced by new chapters on smart cities and building information modeling, as well as a complete overview of the currently available open-source geographic information systems. Using standardized international terminology, in accordance with ISO/TC 211 and INSPIRE, this handbook facilitates collaboration between different disciplines and is a must have for practitioners and new comers in industry and academia.

Applied Spatial Data Analysis with R

Author : Roger S. Bivand
Publisher : Springer Science & Business Media
ISBN 13 : 1461476186
Total Pages : 405 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Applied Spatial Data Analysis with R by : Roger S. Bivand

Download or read book Applied Spatial Data Analysis with R written by Roger S. Bivand and published by Springer Science & Business Media. This book was released on 2013-06-21 with total page 405 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Spatial Data Analysis with R, second edition, is divided into two basic parts, the first presenting R packages, functions, classes and methods for handling spatial data. This part is of interest to users who need to access and visualise spatial data. Data import and export for many file formats for spatial data are covered in detail, as is the interface between R and the open source GRASS GIS and the handling of spatio-temporal data. The second part showcases more specialised kinds of spatial data analysis, including spatial point pattern analysis, interpolation and geostatistics, areal data analysis and disease mapping. The coverage of methods of spatial data analysis ranges from standard techniques to new developments, and the examples used are largely taken from the spatial statistics literature. All the examples can be run using R contributed packages available from the CRAN website, with code and additional data sets from the book's own website. Compared to the first edition, the second edition covers the more systematic approach towards handling spatial data in R, as well as a number of important and widely used CRAN packages that have appeared since the first edition. This book will be of interest to researchers who intend to use R to handle, visualise, and analyse spatial data. It will also be of interest to spatial data analysts who do not use R, but who are interested in practical aspects of implementing software for spatial data analysis. It is a suitable companion book for introductory spatial statistics courses and for applied methods courses in a wide range of subjects using spatial data, including human and physical geography, geographical information science and geoinformatics, the environmental sciences, ecology, public health and disease control, economics, public administration and political science. The book has a website where complete code examples, data sets, and other support material may be found: http://www.asdar-book.org. The authors have taken part in writing and maintaining software for spatial data handling and analysis with R in concert since 2003.

Mastering Spark with R

Author : Javier Luraschi
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492046329
Total Pages : 296 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Mastering Spark with R by : Javier Luraschi

Download or read book Mastering Spark with R written by Javier Luraschi and published by "O'Reilly Media, Inc.". This book was released on 2019-10-07 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you’re like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions

The Routledge Handbook of Geospatial Technologies and Society

Author : Alexander J. Kent
Publisher : Taylor & Francis
ISBN 13 : 1000834433
Total Pages : 868 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis The Routledge Handbook of Geospatial Technologies and Society by : Alexander J. Kent

Download or read book The Routledge Handbook of Geospatial Technologies and Society written by Alexander J. Kent and published by Taylor & Francis. This book was released on 2023-08-17 with total page 868 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Routledge Handbook of Geospatial Technologies and Society provides a relevant and comprehensive reference point for research and practice in this dynamic field. It offers detailed explanations of geospatial technologies and provides critical reviews and appraisals of their application in society within international and multi-disciplinary contexts as agents of change. The ability of geospatial data to transform knowledge in contemporary and future societies forms an important theme running throughout the entire volume. Contributors reflect on the changing role of geospatial technologies in society and highlight new applications that represent transformative directions in society and point towards new horizons. Furthermore, they encourage dialogue across disciplines to bring new theoretical perspectives on geospatial technologies, from neurology to heritage studies. The international contributions from leading scholars and influential practitioners that constitute the Handbook provide a wealth of critical examples of these technologies as agents of change in societies around the globe. The book will appeal to advanced undergraduates and practitioners interested or engaged in their application worldwide.

Statistics for Spatial Data

Author : Noel Cressie
Publisher : John Wiley & Sons
ISBN 13 : 1119115183
Total Pages : 931 pages
Book Rating : 4.1/5 (191 download)

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Book Synopsis Statistics for Spatial Data by : Noel Cressie

Download or read book Statistics for Spatial Data written by Noel Cressie and published by John Wiley & Sons. This book was released on 2015-03-18 with total page 931 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Wiley Classics Library consists of selected books that have been made more accessible to consumers in an effort to increase global appeal and general circulation. With these new unabridged softcover volumes, Wiley hopes to extend the lives of these works by making them available to future generations of statisticians, mathematicians, and scientists. Spatial statistics — analyzing spatial data through statistical models — has proven exceptionally versatile, encompassing problems ranging from the microscopic to the astronomic. However, for the scientist and engineer faced only with scattered and uneven treatments of the subject in the scientific literature, learning how to make practical use of spatial statistics in day-to-day analytical work is very difficult. Designed exclusively for scientists eager to tap into the enormous potential of this analytical tool and upgrade their range of technical skills, Statistics for Spatial Data is a comprehensive, single-source guide to both the theory and applied aspects of spatial statistical methods. The hard-cover edition was hailed by Mathematical Reviews as an "excellent book which will become a basic reference." This paper-back edition of the 1993 edition, is designed to meet the many technological challenges facing the scientist and engineer. Concentrating on the three areas of geostatistical data, lattice data, and point patterns, the book sheds light on the link between data and model, revealing how design, inference, and diagnostics are an outgrowth of that link. It then explores new methods to reveal just how spatial statistical models can be used to solve important problems in a host of areas in science and engineering. Discussion includes: Exploratory spatial data analysis Spectral theory for stationary processes Spatial scale Simulation methods for spatial processes Spatial bootstrapping Statistical image analysis and remote sensing Computational aspects of model fitting Application of models to disease mapping Designed to accommodate the practical needs of the professional, it features a unified and common notation for its subject as well as many detailed examples woven into the text, numerous illustrations (including graphs that illuminate the theory discussed) and over 1,000 references. Fully balancing theory with applications, Statistics for Spatial Data, Revised Edition is an exceptionally clear guide on making optimal use of one of the ascendant analytical tools of the decade, one that has begun to capture the imagination of professionals in biology, earth science, civil, electrical, and agricultural engineering, geography, epidemiology, and ecology.

Cloud Computing for Geospatial Big Data Analytics

Author : Himansu Das
Publisher : Springer
ISBN 13 : 9783030033583
Total Pages : 289 pages
Book Rating : 4.0/5 (335 download)

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Book Synopsis Cloud Computing for Geospatial Big Data Analytics by : Himansu Das

Download or read book Cloud Computing for Geospatial Big Data Analytics written by Himansu Das and published by Springer. This book was released on 2019-02-04 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments.

Spatial Data Handling in Big Data Era

Author : Chenghu Zhou
Publisher : Springer
ISBN 13 : 9811044244
Total Pages : 237 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Spatial Data Handling in Big Data Era by : Chenghu Zhou

Download or read book Spatial Data Handling in Big Data Era written by Chenghu Zhou and published by Springer. This book was released on 2017-05-04 with total page 237 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume introduces recent work on the storage, retrieval and visualization of spatial Big Data, data-intensive geospatial computing and related data quality issues. Further, it addresses traditional topics such as multi-scale spatial data representations, knowledge discovery, space-time modeling, and geological applications. Spatial analysis and data mining are increasingly facing the challenges of Big Data as more and more types of crowd sourcing spatial data are used in GIScience, such as movement trajectories, cellular phone calls, and social networks. In order to effectively manage these massive data collections, new methods and algorithms are called for. The book highlights state-of-the-art advances in the handling and application of spatial data, especially spatial Big Data, offering a cutting-edge reference guide for graduate students, researchers and practitioners in the field of GIScience.

Thinking Big Data in Geography

Author : Jim Thatcher
Publisher : U of Nebraska Press
ISBN 13 : 1496205375
Total Pages : 318 pages
Book Rating : 4.4/5 (962 download)

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Book Synopsis Thinking Big Data in Geography by : Jim Thatcher

Download or read book Thinking Big Data in Geography written by Jim Thatcher and published by U of Nebraska Press. This book was released on 2018-04 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thinking Big Data in Geography offers a practical state-of-the-field overview of big data as both a means and an object of research, with essays from prominent and emerging scholars such as Rob Kitchin, Renee Sieber, and Mark Graham. Part 1 explores how the advent of geoweb technologies and big data sets has influenced some of geography’s major subdisciplines: urban politics and political economy, human-environment interactions, and geographic information sciences. Part 2 addresses how the geographic study of big data has implications for other disciplinary fields, notably the digital humanities and the study of social justice. The volume concludes with theoretical applications of the geoweb and big data as they pertain to society as a whole, examining the ways in which user-generated data come into the world and are complicit in its unfolding. The contributors raise caution regarding the use of spatial big data, citing issues of accuracy, surveillance, and privacy.