This could involve Deep Learning and Recurrent Neural Networks (RNN). It could also involve time series data, perhaps from an SOS, WFS or SensorThings service.
Some example use cases of predictive geospatial analytics are below. The examples do not all use AI/DL/RNN but provide a glimpse of the type of problem that could be addressed.
This could involve Deep Learning and Recurrent Neural Networks (RNN). It could also involve time series data, perhaps from an SOS, WFS or SensorThings service.
Some example use cases of predictive geospatial analytics are below. The examples do not all use AI/DL/RNN but provide a glimpse of the type of problem that could be addressed.
Retail.
https://www.mckinsey.com/industries/retail/our-insights/whos-shopping-where-the-power-of-geospatial-analytics-in-omnichannel-retail
Security.
https://dg-cms-uploads-production.s3.amazonaws.com/uploads/legal_document/file/44/DG_PredAnalyticsLawEnf-DS_WEB.pdf
Health.
https://ehjournal.biomedcentral.com/track/pdf/10.1186/s12940-018-0386-x