TY - GEN
T1 - An object-field perspective data model for moving geographic phenomena
AU - Kim, K. S.
AU - Kiyoki, Y.
N1 - Copyright:
Copyright 2010 Elsevier B.V., All rights reserved.
PY - 2010
Y1 - 2010
N2 - We propose a new data model to represent dynamic and continuous geographic phenomena over spatiotemporal domain in moving-object databases. Existing data models of moving objects have shortcomings with respect to the representation of moving geographic phenomena involving continuous fields, such as temperature, elevation, and the degree of pollution. Moreover, in the case of a spatiotemporal model for continuous fields, it is difficult to deal with continuous movements through time. In this paper, we define a data type called moving field to represent both object-based and field-based views of geographic phenomena in spatiotemporal domains. The main feature of our model is that it integrates the spatial field model with the slice representation of moving objects. By introducing moving fields, we provide a new computational environment for analyzing various moving phenomena with numerical as well as geographic processing.
AB - We propose a new data model to represent dynamic and continuous geographic phenomena over spatiotemporal domain in moving-object databases. Existing data models of moving objects have shortcomings with respect to the representation of moving geographic phenomena involving continuous fields, such as temperature, elevation, and the degree of pollution. Moreover, in the case of a spatiotemporal model for continuous fields, it is difficult to deal with continuous movements through time. In this paper, we define a data type called moving field to represent both object-based and field-based views of geographic phenomena in spatiotemporal domains. The main feature of our model is that it integrates the spatial field model with the slice representation of moving objects. By introducing moving fields, we provide a new computational environment for analyzing various moving phenomena with numerical as well as geographic processing.
UR - http://www.scopus.com/inward/record.url?scp=77956144872&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77956144872&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-14589-6_42
DO - 10.1007/978-3-642-14589-6_42
M3 - Conference contribution
AN - SCOPUS:77956144872
SN - 3642145884
SN - 9783642145889
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 410
EP - 421
BT - Database Systems for Advanced Applications - 15th International Conference, DASFAA 2010, International Workshops
T2 - 15th International Conference on Database Systems for Advanced Applications, DASFAA 2010
Y2 - 1 April 2010 through 4 April 2010
ER -