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ISSN 1996-1065 [Online]
ISSN 1818-1139 [PRINT] |
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Volume 2 (2) 2008 |
| Title: | Extraction Of Interesting Association Rules Using Genetic Algorthms |
| Authors: | Ismail Wadembere & Patrick J. Ogao |
| Published: |
ŠIJCIR Vol2 (2) 2008, PP. 37-48 |
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| Language: | English |
Abstract:
Geospatial information systems provide avenues to fulfill users’ quest for both absolute and
relative locations of features/objects. To achieve this, the users need to have access to different geospatial
data sets from various sources. This calls for integration of data from different geospatial sources. But,
there are shortcomings as different data sets may not map exactly onto one another, one of reasons being
the difference in features’ geometry. This paper presents a conceptual model for geospatial data integration
that can identify and measure differences and adjust spatial geometries of geospatial features to form
meaningful objects which can be used for geo-spatial analysis, modeling, and easy geo-information
management.
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