Books > Earth & environment > Geography > Cartography, geodesy & geographic information systems (GIS) > Remote sensing
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Neural Nets - Applications in Geography (Hardcover)
Loot Price: R2,463
Discovery Miles 24 630
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Neural Nets - Applications in Geography (Hardcover)
Series: Geojournal Library, v. 29
Expected to ship within 12 - 17 working days
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Neural nets offer a new strategy for spatial analysis, and their
application holds enormous potential for the geographic sciences.
However, the number of studies that have utilized these techniques
is limited. This lack of interest can be attributed, in part, to
lack of exposure, to the use of extensive and often confusing
jargon, and to the misapprehension that, without an underlying
statistical model, the explanatory power of the neural net is very
low. This text attacks all three issues, demonstrating a wide
variety of neural net applications in geography in a simple manner,
with minimal jargon. The volume presents an introduction to neural
nets that describes some of the basic concepts, as well as
providing a more mathematical treatise for those wanting further
details on neural net architecture. The bulk of the text, however,
is devoted to descriptions of neural net applications in such
broad-ranging fields as census analysis, predicting the spread of
AIDS, describing synoptic controls on mountain snowfall, examining
the relationships between atmospheric circulation and tropical
rainfall, and the remote sensing of polar cloud and sea ice
characteristics. The text illustrates neural nets employed in modes
analogous to multiple regression analysis, cluster analysis, and
maximum likelihood classification. Not only are the neural nets
shown to be equal or superior to these more conventional methods,
particularly where the relationships have a strong nonlinear
component, but they are also shown to contain significant
explanatory power. Several chapters demonstrate that the nets
themselves can be decomposed to illuminate causative linkages
between different events in both the physical and human
environments.
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