Fundamental problems on scale of geographical information science

Kai Liu; Hehai Wu; Jie Hu

doi:10.1117/12.761793

26 July 2007 Fundamental problems on scale of geographical information science

Kai Liu, Hehai Wu, Jie Hu

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67530J (2007) https://doi.org/10.1117/12.761793
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Traditionally, the description of the scale of geographical information is mainly concerned with spatiality and its temporal character and semantic character is ignored. With a few of new techniques and way such as 3D geographical information system, temporal geographical information system, virtual geographical environment, electronic map appears, the traditional description of scale of geographical information shows its deficiencies to make certain of every aspect of it. At first, in this paper we try to extend the connotation and the dimension of scale of geographical information to full the need of describing the every aspects of it, and give three-tiered conceptualization of its scale as: kinds of scale; dimensions of scale; components of scale. The dimension of scale of geographical information is consisted of spatial dimension, temporal dimension and semantic dimension. The classifications of scale of geographical information are of phenomena scale, measure scale and token scale. The components of scale of geographical information are of extension, granularity (resolution) and interval. It is through the Cartesian product of kinds of scale and components of scale can we define the particulars of every aspects of scale of geographical information. At last in this paper the transform of scale of geographical information and issue of scale choice is discussed.

Citation Download Citation

Kai Liu, Hehai Wu, and Jie Hu "Fundamental problems on scale of geographical information science", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67530J (26 July 2007); https://doi.org/10.1117/12.761793

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