SOLAP On-the-Fly Generalization Approach Based on Spatial Hierarchical Structures

Abstract : On-the-fly generalization, denotes the use of automated generalization techniques in real-time. This process creates a temporary, generalized dataset exclusively for visualization, not for storage or other purposes. This makes the process well suited to highly interactive applications such as online mapping, mobile mapping and SOLAP. BLG tree is a spatial hierarchical structure widely used in cartographic map generalization and particularly in the context of web mapping. However, this structure is insufficient in the context of SOLAP applications, because it is mainly dedicated to the geographic information processing (geometric features), while SOLAP applications manage a very important decision information that is the measure. In this paper, we propose a new structure, SOLAP BLG Tree, adapted to the generalizaion process in the SOLAP context. Our generalization approach is based on this structure and uses the simplification operator. Combining the topological aspect of geographical objects and the decisional aspect (the measure).Our experiments were performed on a set of vector data related to the phenomenon of road risk.
Document type :
Conference papers
Complete list of metadatas

Cited literature [25 references]  Display  Hide  Download

https://hal.inria.fr/hal-01789960
Contributor : Hal Ifip <>
Submitted on : Friday, May 11, 2018 - 3:11:10 PM
Last modification on : Friday, May 11, 2018 - 3:13:30 PM
Long-term archiving on : Tuesday, September 25, 2018 - 6:13:49 AM

File

339159_1_En_23_Chapter.pdf
Files produced by the author(s)

Licence


Distributed under a Creative Commons Attribution 4.0 International License

Identifiers

Citation

Tahar Ziouel, Khalissa Amieur-Derbal, Kamel Boukhalfa. SOLAP On-the-Fly Generalization Approach Based on Spatial Hierarchical Structures. 5th International Conference on Computer Science and Its Applications (CIIA), May 2015, Saida, Algeria. pp.279-290, ⟨10.1007/978-3-319-19578-0_23⟩. ⟨hal-01789960⟩

Share

Metrics

Record views

100

Files downloads

75