Develop a General Theory for Spatial Patterns of Change

One of the important motivations for improvements on GIScience research is the increased availability of large sets of geospatial data that provide both spatial and temporal information. Such data sets include remote sensing databases, urban cadastral systems, and data for mobile devices. Given this availability of data, GIScience researchers are challenged to devise ways to use it effectively. One of the important scientific challenges is to devise a general theory for spatial patterns of change. Such patterns appear in remote sensing data (land changes) and in urban cadastre (changes in parcels and roads), but there is currently no comprehensive theory on how they evolve and on how to recover their history.

Contact Person at IFGI: Angela Schwering

Contact Person at INPE: Gilberto Camara