TY - GEN
T1 - A comparison of spatio-temporal interpolation methods
AU - Li, Lixin
AU - Revesz, Peter
N1 - Publisher Copyright:
© Springer-Verlag Berlin Heidelberg 2002.
PY - 2002
Y1 - 2002
N2 - This paper analyzes spatio-temporal interpolation methods based on shape functions, namely, the ST product and the tetrahedral methods. These methods yield data that can be represented and queried in constraint database systems. That is an advantage, because there are many constraint database queries that are not expressible in current geographic information systems. We illustrate and test our approach on an actual real estate database. The interpolations for house prices per square foot are compared on accuracy, storage requirement, error-proneness to time aggregation, and difficulty of representation. It is shown that the best method yields a spatio-temporal interpolation that estimates house prices (per square foot) with approximately 10 percent error, is less error-prone, and uses only linear constraints, which can be implemented in several recent constraint database systems.
AB - This paper analyzes spatio-temporal interpolation methods based on shape functions, namely, the ST product and the tetrahedral methods. These methods yield data that can be represented and queried in constraint database systems. That is an advantage, because there are many constraint database queries that are not expressible in current geographic information systems. We illustrate and test our approach on an actual real estate database. The interpolations for house prices per square foot are compared on accuracy, storage requirement, error-proneness to time aggregation, and difficulty of representation. It is shown that the best method yields a spatio-temporal interpolation that estimates house prices (per square foot) with approximately 10 percent error, is less error-prone, and uses only linear constraints, which can be implemented in several recent constraint database systems.
UR - http://www.scopus.com/inward/record.url?scp=84955605888&partnerID=8YFLogxK
U2 - 10.1007/3-540-45799-2_11
DO - 10.1007/3-540-45799-2_11
M3 - Conference article
AN - SCOPUS:84955605888
SN - 9783540442530
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 145
EP - 160
BT - Geographic Information Science - 2nd International Conference, GIScience 2002, Proceedings
A2 - Egenhofer, Max J.
A2 - Mark, David M.
PB - Springer Verlag
T2 - 2nd International Conference on Geographic Information Science, GIScience 2002
Y2 - 25 September 2002 through 28 September 2002
ER -