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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Handbook of Big Geospatial Data (Hardcover, 1st ed. 2021)
Loot Price: R6,668
Discovery Miles 66 680
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Handbook of Big Geospatial Data (Hardcover, 1st ed. 2021)
Expected to ship within 10 - 15 working days
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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.
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