A Conceptual Framework for Multi-Scale Representation of Geospatial Vector Data

Zhenkai Yang, Huping Cui, Fei Yang
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Abstract

Scale is one of the most basic and complex research topics in the field of geographic information science. In this paper, the relation and distinction among scale, scale transformation and multi-scale representation are analyzed firstly. A framework of multi-scale representation implementation methods of geospatial vector data is proposed from the perspectives of dimension, the relation between scenario and its scale, and the process steps. In consideration of the main research direction in the framework, three strategies for implementing multi-scale representation of geospatial vector data are described, with three evaluation methods classified and elaborated. Finally, the probable future research in multi-scale representation of geospatial vector data is prospected.
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地理空间矢量数据多尺度表示的概念框架
尺度是地理信息科学领域最基础、最复杂的研究课题之一。本文首先分析了尺度、尺度变换和多尺度表示之间的关系和区别。从维度、场景与尺度的关系、处理步骤等方面,提出了地理空间矢量数据多尺度表示实现方法框架。针对框架的主要研究方向,描述了三种实现地理空间矢量数据多尺度表示的策略,并对三种评价方法进行了分类和阐述。最后,对地理空间矢量数据多尺度表示的研究方向进行了展望。
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