Geospatial Analytics Module
Introduces geospatial analytics skills to address real-world challenges in disaster management.
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Learn concepts of graph theory and spatial routing algorithms.
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Learn how to use CI in large scale geosimulation for applications in disaster response planning.
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Learn how to represent and derive topographic features in digital elevation models using flood mapping as a hands-on exercise.
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Learn how to construct machine learning and deep learning models based on diverse disaster data sources to predict hazard dynamics.
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Learn the essential concepts of CyberGIS and how to apply CyberGIS to disaster management applications.
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Learn social media data mining techniques and apply it in disaster event detection and risk-perception analysis.
The notebooks will be available soon to support our training session.