It is “well known” that 80% of all data has a spatial component. What is less well known is that 100% of data contains a temporal component. For some data it may simply be the date that the data was released. For other, there may be a separate date/time for each separate row or feature. And yet still for others, such as vehicle tracks, there is time information that changes along a feature itself.
This talk will give an overview of some of the issues involved in dealing with temporal data with PostGIS and PostgreSQL.