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Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Artificial Intelligent Methods for Handling Spatial Data - Fuzzy Rulebase Systems and Gridded Data Problems (Hardcover, 1st ed. 2019)
Loot Price: R2,653
Discovery Miles 26 530
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Artificial Intelligent Methods for Handling Spatial Data - Fuzzy Rulebase Systems and Gridded Data Problems (Hardcover, 1st ed. 2019)
Series: Studies in Fuzziness and Soft Computing, 370
Expected to ship within 18 - 22 working days
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This book provides readers with an insight into the development of
a novel method for regridding gridded spatial data, an operation
required to perform the map overlay operation and apply map algebra
when processing spatial data. It introduces the necessary concepts
from spatial data processing and fuzzy rulebase systems and
describes the issues experienced when using current regridding
algorithms. The main focus of the book is on describing the
different modifications needed to make the problem compatible with
fuzzy rulebases. It offers a number of examples of out-of-the box
thinking to handle aspects such as rulebase construction,
defuzzification, spatial data comparison, etc. At first, the
emphasis is put on the newly developed method, and additional
datasets containing information on the underlying spatial
distribution of the data are identified. After this, an artificial
intelligent system (in the form of a fuzzy inference system) is
constructed using this knowledge and then applied on the input data
to perform the regridding. The book offers an example of how an
apparently simple problem can pose many different challenges, even
when trying to solve it with existing soft computing technologies.
The workflow and solutions to solve these challenges are universal
and may therefore be broadly applied into other contexts.
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