On understanding types, data abstraction, and polymorphism
ACM Computing Surveys (CSUR) - The MIT Press scientific computation series
Applying case-based reasoning in the evolution of deforestation patterns in the Brazilian Amazonia
Proceedings of the 2008 ACM symposium on Applied computing
Towards a general theory of geographic representation in GIS
International Journal of Geographical Information Science
Remote-sensing image mining: detecting agents of land-use change in tropical forest areas
International Journal of Remote Sensing
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This paper proposes an automated approach for describing how geospatial objects evolve. We consider geospatial objects whose boundaries and properties change in the time, and refer to them as evolving objects. Our approach is to provide a set of rules that describe how objects change, referred to as rule-based evolution. We consider the case where we are given a series of snapshots, each of which contains the status of the objects at a given time. Given this data, we would like to extract the rules that describe how these objects changed. We use the technique of case-based reasoning (CBR) to extract the rules of object evolution, given a few representatives examples. The resulting rules are used to elicit the full history of all changes in these objects. This allows finding out how objects evolved, recovering their history. As an example of our proposed approach, we include a case study of how deforestation evolves in Brazilian Amazonia Tropical Forest.