Big Data:Techniques and Technologies in Geoinformatics

by: Hassan A. Karimi (Editor)

Publisher: CRC Press

Edition: 2nd

Publication Date: 2024/8/1

Language: English

Print Length: 395 pages

ISBN-10: 1032525142

ISBN-13: 9781032525143

Book Description

Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algorithms, and the availability of data in various domains, among other things, have aided in the automation of complex real-world tasks and decision-making that inherently rely on geospatial data. Of the many fields benefiting from these latest advancements, machine leaing, particularly deep leaing, virtual reality, and game engine, have increasingly gained the interest of many researchers and practitioners. This revised new edition provides up-to-date knowledge on the latest developments related to these three fields for solving geoinformatics problems.FEATURESContains a comprehensive collection of advanced big data approaches, techniques, and technologies for geoinformatics problemsProvides seven new chapters on deep leaing models, algorithms, and structures, including a new chapter on how spatial metaverse is used to build immersive realistic virtual experiencesPresents information on how deep leaing is used for solving real-world geoinformatics problemsThis book is intended for researchers, academics, professionals, and students in such fields as computing and information, civil and environmental engineering, environmental sciences, geosciences, geology, geography, and urban studies.

About the Author

Over the past decade, since the publication of the first edition, there have been new advances in solving complex geoinformatics problems. Advancements in computing power, computing platforms, mathematical models, statistical models, geospatial algorithms, and the availability of data in various domains, among other things, have aided in the automation of complex real-world tasks and decision-making that inherently rely on geospatial data. Of the many fields benefiting from these latest advancements, machine leaing, particularly deep leaing, virtual reality, and game engine, have increasingly gained the interest of many researchers and practitioners. This revised new edition provides up-to-date knowledge on the latest developments related to these three fields for solving geoinformatics problems.FEATURESContains a comprehensive collection of advanced big data approaches, techniques, and technologies for geoinformatics problemsProvides seven new chapters on deep leaing models, algorithms, and structures, including a new chapter on how spatial metaverse is used to build immersive realistic virtual experiencesPresents information on how deep leaing is used for solving real-world geoinformatics problemsThis book is intended for researchers, academics, professionals, and students in such fields as computing and information, civil and environmental engineering, environmental sciences, geosciences, geology, geography, and urban studies.

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