A logic-based calculus of events
New Generation Computing
Maintaining knowledge about temporal intervals
Communications of the ACM
Spatio-Temporal Geographic Information Systems: A Causal Perspective
ADBIS '02 Proceedings of the 6th East European Conference on Advances in Databases and Information Systems
Qualitative Representation of Change
COSIT '97 Proceedings of the International Conference on Spatial Information Theory: A Theoretical Basis for GIS
Managing Time in GIS: An Event-Oriented Approach
Proceedings of the International Workshop on Temporal Databases: Recent Advances in Temporal Databases
Relations Between Fuzzy Time Intervals
TIME '04 Proceedings of the 11th International Symposium on Temporal Representation and Reasoning
Processes and events in dynamic geo-networks
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
Modeling noteworthy events in a geospatial domain
GeoS'05 Proceedings of the First international conference on GeoSpatial Semantics
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Detecting change in snapshot sequences
GIScience'10 Proceedings of the 6th international conference on Geographic information science
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This paper presents a qualitative formal framework to model the impact of an event. An event could be a forest fire or a flood, for example, that results in a discernable change such as a reduced vegetation height. This framework provides a qualitative classification of impacts in order to reason about events and their impacts. The underlying conceptual model distinguishes between immediate and delayed impacts. Based on this distinction, a set of basic types of impacts are differentiated, in particular abrupt and gradual impacts. We analyze how the temporal relation between an event and an impact can be used to capture combinations of impact types, called evolving impacts. To link event-impact relations spatially, this work introduces the concept of qualitative impact maps that represent the extent of an impact type. The combination of qualitative impact maps with event-impact inference rules enables the identification of events that are likely to underlie these impacts. The application potential of this approach is demonstrated via a case study based on vegetation change and event data for a nature reserve near Melbourne, Australia. This study shows how the model can support decision making for planning and management in nature reserves.