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Book Cover for: Big Data: Techniques and Technologies in Geoinformatics, Hassan a. Karimi

Big Data: Techniques and Technologies in Geoinformatics

Hassan a. Karimi

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 learning, particularly deep learning, 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.

Features

  • Contains a comprehensive collection of advanced big data approaches, techniques, and technologies for geoinformatics problems.
  • Provides seven new chapters on deep learning models, algorithms, and structures, including a new chapter on how spatial metaverse is used to build immersive realistic virtual experiences.
  • Presents information on how deep learning is used for solving real-world geoinformatics problems.

This 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.

Book Details

  • Publisher: CRC Press
  • Publish Date: Aug 1st, 2024
  • Pages: 416
  • Language: English
  • Edition: - 0002
  • Dimensions: 0.00in - 0.00in - 0.00in - 0.00lb
  • EAN: 9781032525143
  • Categories: Data Science - Machine LearningRemote Sensing & Geographic Information SystemsArtificial Intelligence - General

About the Author

Hassan Karimi is a Professor and the Director of the Geoinformatics Laboratory in the School of Computing and Information at the University of Pittsburgh. He obtained his PhD in Geomatics Engineering from the University of Calgary. Karimi's research interests include computational geometry and topology, machine learning, spatial data analytics, navigation techniques and applications, location-based services, mobile computing, and distributed/parallel computing. His research in geoinformatics has resulted in over 230 publications in peer-reviewed journals and conference proceedings, as well as in many workshops and presentations at national and international forums. Karimi has published the following books with Taylor and Francis: Geospatial Data Science Techniques and Applications (2018); Indoor Wayfinding and Navigation (2015); Big Data: Techniques and Technologies in Geoinformatics (2014); Advanced Location-Based Technologies and Services (2013); CAD and GIS Integration (2010); Telegeoinformatics: Location-Based Computing and Services (2004). He has published Universal Navigation on Smartphones (2011) with Springer; and Handbook of Research on Geoinformatics (2009) with IGI.
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