The foundational theory and conceptual model of cooperative generalization of multi-elemental geographic information

Yi Long; Shilin Cui; Jie Shen

doi:10.1117/12.812639

3 November 2008 The foundational theory and conceptual model of cooperative generalization of multi-elemental geographic information

Yi Long, Shilin Cui, Jie Shen

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Proceedings Volume 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments; 71432Z (2008) https://doi.org/10.1117/12.812639
Event: Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 2008, Guangzhou, China

Abstract

Geographic information generalization is a necessary means for scale transform of geometric and attributive information of the geographic spatial object sets under the GIS environment. This transformation relates to the complicated spatial and attributive relations within one geographic object, among different objects or elements rather than an isolated or single-elemental object. Thus, one of the ways to solve the conflicts among objects in the generalization is to adopt the strategy which is called he multi-elemental cooperative generalization (MECG), viz. to take the objects of different geographic elements into account. This paper mainly emphasizes the constrained relations (including spatial relation and structural relation) among different elements in generalization process. In this paper, a "from-above-to-below" concept model of multi-elemental cooperative generalization for some geographic elements is also discussed.

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Yi Long, Shilin Cui, and Jie Shen "The foundational theory and conceptual model of cooperative generalization of multi-elemental geographic information", Proc. SPIE 7143, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: Geo-Simulation and Virtual GIS Environments, 71432Z (3 November 2008); https://doi.org/10.1117/12.812639

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KEYWORDS

Roads

Geographic information systems

Multi-element lenses

Data modeling

Vegetation

Relativity

Autoregressive models

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