GEOG 583
Geospatial System Analysis and Design

Technology: GeoAI Machine Learning Applications

Technology: GeoAI Machine Learning Applications

ESRI offers several machine learning models that can be implemented to evaluate patterns, predictions, and hotspot analysis. Several different machine learning models can be used, including regression analysis, clustering, hot spot analysis, classification, temporal trends, and prediction.

Time series analysis has applications for many different geospatial disciplines. Machine learning has been applied to emergency response and disaster management by analyzing wildfires, flooding events, earthquakes, pandemics, and other human impacts including infrastructure, economy, and the environment. It has been applied to geospatial intelligence and crime modelling to track criminal activity, human trafficking, terrorist activities, location prediction of criminal activities, and many more. Additionally, it has been applied to track environmental phenomenon including wildfire prediction, flooding/stream flow prediction, climate change, invasive species modelling, endangered and vulnerable species population prediction, and many more.

Machine learning models appropriate for emergency management
A review of the machine learning models that can be applied to emergency management disciplines. Disaster events have common characteristics, such as spatiotemporal evolution and cascading effects. For example, fires, earthquakes, and floods can all impact road accessibility and power outage, while dynamics used in modelling fires could be adapted to also model disease spread during pandemics [10]. Machine learning can play a key part in the development of novel tools to identify useful characteristics of disasters in due time, provide means for situational awareness, facilitate modelling of various phenomena, and alert for potential cascading effects.
Source Kyrkou et al, 2015.

In short, machine learning models have an innumerable amount of applications and research continues to apply the models in new, innovative ways. Therefore, it is valuable for you to understand how it works and how to apply it to projects of interest to you. ESRI offers low/no code options that make machine learning and GeoAI accessible to new and novice AI users.

References:

Kyrkou, C., Kolios, P., Theocharides, T., & Polycarpou, M. (2022). Machine learning for emergency management: A survey and future outlook. Proceedings of the IEEE, 111(1), 19-41.;

Mandalapu, V., Elluri, L., Vyas, P., & Roy, N. (2023). Crime prediction using machine learning and deep learning: A systematic review and future directions. IEEE Access, 11, 60153-60170.