Much of the research we do in the Geospatial Analysis Lab (GAL) is on human or wildlife movement, which involves measuring movement over time often using GPS tracking. Dealing with time in GIS is notoriously challenging, a most GISystems are designed to store, analyse and visualize spatial data such as tables, vectors or rasters (i.e. two dimensional spatial information). Time is often integrated into GISystems as an attribute of spatial features, which is the case in our research on GPS tracking feral swine, and other projects. With time as an attribute of spatial data, we can visualize and analyze mobility and movement processes like animal movement in GIS. One way to deal with time in GIS is to aggregate all features within a time period. When time is stored as a feature attribute, we can plot or analyze all records in the table. In wildlife movement research this allows us to visualize and analyze the space use of individuals over the entire study period. Comparing the overall spac