空间数据与GIS发展的思考

P. Hu, Shengquan Li, Jiangmei Kang
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引用次数: 2

摘要

本文讨论了GIS空间数据的理论问题:空间数据概念的整合、空间数据的数量、空间数据的结构、面向多维和动态的分析、GIS空间数据的初始化和测量。在本文中,我们讨论了在使用GIS解决这些问题时出现的问题。在分析地理信息系统所需空间数据的基础上,定义了四种类型的空间关系数据:位置、邻接、接近和影响。这些类型是通过增加数据量来排序的。对所有这些数据进行全面而明显的组织是一项非常困难的工作,并且是“需要时不准备”和“准备而不使用”等数据问题的根源。作为解决这些问题的一种方法,本文讨论了映射代数的可行性和特点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Considerations on Spatial Data and the Development of GIS
Abstract We discuss the following theoretical questions regarding GIS spatial data in this paper: the integration of spatial data concepts, the quantity of spatial data, the structure of spatial data, oriented multi-dimensional and dynamic analysis, and the initialization and measurement of GIS spatial data. In this paper, we discuss the problems that occur when using GIS to resolve these questions. Based on the analysis of the necessary spatial data for GIS, four types of spatial relation data were defined: location, adjacency, nearness, and influence. These types are ordered by increasing data quantity. The organization of all these data comprehensively and apparently is very difficult work, and is the source of data problems, such as “not prepared when needed” and “prepared but never used”. As a method of resolving these problems, the feasibility and features of Map Algebra are discussed.
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