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作 者:朱渭宁[1] 孙璐[1] ZHU Weining1, SUN Lu1(1 Ocean College, Zhejiang University, Zhoushan 316021, Chin)
机构地区:[1]浙江大学海洋学院
出 处:《武汉大学学报(信息科学版)》2018年第4期522-528,共7页Geomatics and Information Science of Wuhan University
基 金:国家自然科学基金(41471346);浙江省自然科学基金(LY17D010005)~~
摘 要:地理空间数据模型及其对地理对象-空间关系的描述是地理信息科学(GIS)理论与应用研究的核心内容。介绍和讨论了一种新的GIS空间数据模型——空间染色模型(spatial chromatic model,SCM)的结构、操作、应用及其在地理学上的含义。SCM的特点是其每个基础数据单元(细胞)具有一个唯一的编码,这些编码提供了面向各种GIS空间分析和运算的丰富信息。SCM的本质是一种基于实体第一性的相对性地理空间,它有助于从一个新的视角更加深入地理解地理实体-空间关系。Geographical spatial data models and using them to represent geographical entity-space relationships stand as the core of GIS theories and applications.This study introduces and discusses a newly proposed GIS spatial data model,spatial chromatic model(SCM),and its standard form,spatial chromatic tessellation(SCT).The concepts,structures,operations of SCM and SCT were introduced and their potential applications and implications for geoinformatics were discussed.The space in SCM consists of many spatial tiny data units,called cells,and these cells are assigned with unique codes(chromatic codes),which like the cellular genetic codes.The cells in SCM can be merged into larger subspace(clusters)with similar chromatic codes.The chromatic codes of cells and clusters provide abundant information for various GIS spatial analysis and computation.The essential foundation of SCM is based on the fundamental physical principle that entities are first and space is relative to entities.This principle can also be applied to geography and information science.SCM will help us to better understand geographical entity-space relationship from a new perspective
关 键 词:空间染色模型 对象-空间关系 地理信息科学 空间数据模型
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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