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The lifespan model of GIS data representation over scale space

7 citations0/0 files storedInternational Conference on Geoinformatics

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Geographic Information Systems Studies Computer Graphics and Visualization Techniques 3D Modeling in Geospatial Applications

Abstract

Multi-scale representations of spatial data is one of the key technologies in GIS applications. It plays an important role in such applications as seamless data navigation, progressive web transfer and self-adaptable visualization. This paper aims at the objective by small size of data volume to realize high granularity multi-representation, presenting a data model, namely the lifespan model over scale space, to divide the spatial data into different representation scene over scale space. To construct the object-oriented model of representation lifespan, we consider that during the whole life time [S0, Sn], an object has some base representations g0, g1⋯gm, which related to some key happening point s0, s1⋯sm over scale space. An essential evolution of the representation arises at each key happening point, such as from polygon to polyline. But between two adjacent key scale points Siand Sj, the evolutions of the representation are smooth. So the middle representations between [Si, Sj] can be derived by a transformation function f. Based on this consideration, the scale based transformation is defined as a tri-tuple: Tij: ≪fi, [Si1, Si2], {gij}≫, where fiis the transformation function, [Si1, Si2] the scale range controlled by two key scale points Si1and Si2and {gij} the base representation status associated with the key scale point of Si1or Si2. Then the representation of the object at any scale Sxcan be formulized as: Rx=fi({gij},x). Considering the transformation properties of gradual change vs. abrupt change, we summarize four types of transformation functions. They are (1) traditional map generalization, (2) interpolation (morphing) transformation, (3) LOD accumulation and (4) equal transformation.

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References

1946On the Theory of Scales of Measurement 2001Progressive Transmission of Vector Map Data over the World Wide Web 1989Cartographic generalization in a digital environment: when and how to generalize 2002Transmitting Vector Geospatial Data across the Internet 2020The GAP-tree, an approach to ‘on-the-fly’ map generalization of an area partitioning 2013Map Generalization with a Triangulated Data Structure 1992Area-patch generalisation: a competitive approach 2005Building a Multi-Scale Database with Scale-Transition Relationships

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