You are probably familiar with the terms artificial intelligence (AI), machine learning (ML) and deep learning (DL). However, do you really know how they work with GIS? In this session, we will use Python and various libraries to illustrate how artificial intelligence is used to detect deep and complex spatiotemporal patterns in data, and how to predict geospatial events of interest. This talk will cover several scenarios of applying the latest machine learning and deep learning techniques to geospatial data, including applying object detention using satellite imagery, detecting objects in videos and other workflows to incorporate these data sciences.

In this talk we will discuss and show how to use the Spatially enabled DataFrame or SeDF within the Python API for ArcGIS. This data structure is built upon the Pandas package and allows users to create the same geo-spatial workflows regardless if they are an ArcGIS/Esri or an Open Source shop. The talk will showcase some of the more interesting functionality such as data manipulation, visualization and performing analysis on data.