Proceedings of the 1 st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics
نویسندگان
چکیده
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering polygons that have been extracted from different spatial datasets is proposed which consists of a meta clustering module that clusters polygons and a summary generation module that creates a final clustering from a polygonal meta clustering based on user preferences. Moreover, a density-based polygon clustering algorithm is introduced. Our methodology is evaluated in a real-world case study involving ozone pollution in Texas; it was able to reveal interesting relationships between different ozone hotspots and interesting associations between ozone hotspots and other meteorological variables.
منابع مشابه
Proceedings of the 1 st ACM SIGSPATIAL International Workshop on Data Mining for Geoinformatics ( DMG ) 2010 offered under the auspices of the 18 th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
Polygons can serve an important role in the analysis of georeferenced data as they provide a natural representation for particular types of spatial objects and in that they can be used as models for spatial clusters. This paper claims that polygon analysis is particularly useful for mining related, spatial datasets. A novel methodology for clustering polygons that have been extracted from diffe...
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