Thierry Ubeda and
Max Egenhofer Advances in Spatial Databases--Fifth International Symposium on Large Spatial Databases, SSD `97, Berlin,
M. Scholl and A. Voisard (eds.), Lecture Notes in Computer Science, Vol. 1262, Springer-Verlag, pp. 283-297, July 1997.
Abstract
Topological relations are of great importance to the consistency of
GIS data sets. Many errors that can be found in GIS data sets are
from a lack of knowledge about topological relations between the
geographical objects stored in the database; therefore, topology
can help to find errors in GIS data sets and method to correct
topological errors can help to improve the quality of GIS data
sets. This paper presents how topological relation can be used to
detect and correct errors in GIS data sets. Such an approach
requires three parts: (1) how to define errors, (2) how to check
the databas, and (3) how to correct errors. This paper focus on the
first and the third part. Errosr are described using topological
integrity constraints, leading to the definition of the constraints
that fit its own data set, and then allowed to take the semantics
of data into account. Corrections are made by applying
transformations to the data. For each error, a set of possible
corrections is compute and the user has to choose which one is most
appropriate.
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Max Egenhofer