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Big Data Techniques and Technologies in Geoinformatics 2nd Edition by Hassan A Karimi ISBN 1003406963 9781003406969

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Big Data Techniques and Technologies in Geoinformatics 2nd Edition Hassan A. Karimi Digital Instant Download

Author(s): Hassan A. Karimi
ISBN(s): 9781003406969, 1003406963
Edition: 2
File Details: PDF, 23.37 MB
Year: 2024
Language: english
SKU: EB-57493982 Category: Tag:

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ISBN 10: 1003406963 
ISBN 13: 9781003406969
Author: 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.

Big Data Techniques and Technologies in Geoinformatics 2nd Table of contents:

1 Distributed and Parallel Computing
    1.1 introduction
    1.2 distributed computing
        1.2.1 cluster computing
        1.2.2 grid computing
        1.2.3 cloud computing
    1.3 parallel computing
        1.3.1 classes of parallel computing
        1.3.2 shared memory multiple processing
        1.3.3 distributed memory multiple processing
        1.3.4 hybrid distributed shared memory
        1.3.5 example geospatial big data project on parallel computers
    1.4 supercomputing
        1.4.1 supercomputing worldwide
        1.4.2 trend
        1.4.3 future supercomputer research
        1.4.4 example geospatial big data project on supercomputers
    1.5 XSEDE: a single virtual system
        1.5.1 resources
        1.5.2 services
        1.5.3 example big geospatial data project on XSEDE
    1.6 choosing appropriate computing environment
    1.7 summary
    references

2 GEOSS Clearinghouse Integrating Geospatial Resources to Support the Global Earth Observation System of Systems
    2.1 introduction
    2.2 catalog and clearinghouse research review
        2.2.1 metadata repository and standardized metadata
        2.2.2 catalog and clearinghouse based on service-oriented architecture and standard services
        2.2.3 semantic-based metadata sharing and data discovery
    2.3 technological issues and solutions
        2.3.1 interoperability
        2.3.2 provenance and updating
        2.3.3 system performance
        2.3.4 timely updating
    2.4 design and implementation of CLH
        2.4.1 architecture
        2.4.2 administration, user, and group management
        2.4.3 harvesting
        2.4.4 metadata standards and transformation
        2.4.5 user interface and programming APIs
    2.5 usage and operational status
        2.5.1 system operations
        2.5.2 system metadata status
        2.5.3 usage
    2.6 big geospatial data challenges and solutions
        2.6.1 data and database
        2.6.2 distribution and cloud computing
        2.6.3 searching performance and index
    2.7 summary and future research
    acknowledgments
    notes
    references

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Tags: Hassan A Karimi, Data Techniques, Technologies, Geoinformatics