A Suggestion for a Data Structure for Temporal GIS

Accepted at GeoSpatial Workshop IEEE 2009, Dec. 09, at Oxford University, UK.  Co-authored with Dan Ames, ISU GeoSciences.

A new data structure for the implementation of temporal
geographic information systems is presented. This data
structure, based on Kantabutra’s ILE database management
system, treats both time and place as first-class citizens
and utilizes direct linkages among entities that are related
to each other. The suggested data structure supports
naturally the three types of queries suggested by Peuquet
as queries that a temporal GIS database should be able to
answer.