Neural Nets: Applications in Geography

Nonfiction, Science & Nature, Science, Earth Sciences, Geography, Physics, General Physics
Cover of the book Neural Nets: Applications in Geography by , Springer Netherlands
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9789401111225
Publisher: Springer Netherlands Publication: December 6, 2012
Imprint: Springer Language: English
Author:
ISBN: 9789401111225
Publisher: Springer Netherlands
Publication: December 6, 2012
Imprint: Springer
Language: English

Neural nets offer a fascinating 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. Neural Nets: Applications for Geography attacks all three issues; the text demonstrates 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 wishing 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

Neural nets offer a fascinating 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. Neural Nets: Applications for Geography attacks all three issues; the text demonstrates 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 wishing 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.

More books from Springer Netherlands

Cover of the book Mental Health by
Cover of the book Agora, Academy, and the Conduct of Philosophy by
Cover of the book Medicine Across Cultures by
Cover of the book A Brief History of Radio Astronomy in the USSR by
Cover of the book Dialogues on Human Rights and Legal Pluralism by
Cover of the book Extracellular ATP and adenosine as regulators of endothelial cell function by
Cover of the book The Notion of an Ideal Audience in Legal Argument by
Cover of the book The Mucosal Immune System by
Cover of the book Dao Companion to Japanese Confucian Philosophy by
Cover of the book Technology for Combating WMD Terrorism by
Cover of the book Critical Analysis of Science Textbooks by
Cover of the book Precipitation Modeling and Quantitative Analysis by
Cover of the book Surface Mount Technology by
Cover of the book Chronic Diseases in the year 2005 by
Cover of the book Revolution, Idealism and Human Freedom: Schelling Hölderlin and Hegel and the Crisis of Early German Idealism by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy