Artificial Intelligence and WebGIS for Disaster and Emergency Management

Rifaat Abdalla*, Marwa Esmail

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

1 Citation (Scopus)


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.

Original languageEnglish
Title of host publicationAdvances in Science, Technology and Innovation
PublisherSpringer Nature
Number of pages6
Publication statusPublished - 2019

Publication series

NameAdvances in Science, Technology and Innovation
ISSN (Print)2522-8714
ISSN (Electronic)2522-8722


  • Artificial Neural Networks (ANNs)
  • Crisis Response Operations
  • Land Transformation Model (LTM)
  • Urban Search And Rescue (USAR)
  • Vast Datasets

ASJC Scopus subject areas

  • Architecture
  • Renewable Energy, Sustainability and the Environment
  • Environmental Chemistry

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