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Artificial Intelligence and WebGIS for Disaster and Emergency Management

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WebGIS for Disaster Management and Emergency Response

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

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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Authors and Affiliations

  1. Department of Earth Sciences, College of Science, Sultan Qaboos University, Muscat, Oman

    Rifaat Abdalla

  2. Cairo University, Giza, Egypt

    Marwa Esmail

Authors
  1. Rifaat Abdalla
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  2. Marwa Esmail
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Correspondence to Rifaat Abdalla .

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Abdalla, R., Esmail, M. (2019). Artificial Intelligence and WebGIS for Disaster and Emergency Management. In: WebGIS for Disaster Management and Emergency Response. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-030-03828-1_6

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