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Erschienen in:
Introduction to Disaster and Emergency Management Science Kapitel lesen Erstes Kapitel lesen

2019 | OriginalPaper | Buchkapitel

6. Artificial Intelligence and WebGIS for Disaster and Emergency Management

verfasst von : Rifaat Abdalla, Marwa Esmail

Erschienen in: WebGIS for Disaster Management and Emergency Response

Verlag: Springer International Publishing

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Abstract

GIS problems are often subject to what is known as curse of dimensionality, which means that the state space grows rapidly when the number of parameters increases. However, the use of intelligent algorithms reduces considerably the size of the state space and helps to quickly find the optimal configurations.

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Vorheriges Kapitel WebGIS Techniques and Applications
Nächstes Kapitel Cloud Computing and WebGIS for Disaster and Emergency Management
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Metadaten
Titel
Artificial Intelligence and WebGIS for Disaster and Emergency Management
verfasst von
Rifaat Abdalla
Marwa Esmail
Copyright-Jahr
2019
Buch
WebGIS for Disaster Management and Emergency Response

Print ISBN: 978-3-030-03827-4

Electronic ISBN: 978-3-030-03828-1

Copyright-Jahr: 2019

DOI
https://doi.org/10.1007/978-3-030-03828-1_6