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作 者:崔文宏 施雪梅 CUI Wenhong;SHI Xuemei(The First Geographic Information Mapping Institute,MNR,Xi′an,Shaanxi 710054,China;Shaanxi Bureau of Surveying,Mapping and Geoinformation,Xi′an,Shaanxi 710054,China)
机构地区:[1]自然资源部第一地理信息制图院,陕西西安710054 [2]陕西测绘地理信息局,陕西西安710054
出 处:《测绘标准化》2023年第2期12-16,共5页Standardization of Surveying and Mapping
摘 要:数字制图环境下数据获取途径越来越广,数据类型越来越多、结构越来越复杂。为了实现多源数据的有效、合理利用,提高地图编制效率和质量,本文以现代地图学的可视化和认知论为指导,结合工程实践,对多源数据的类型、特性进行分析研究,提出建立多源数据库和出版数据库的数据组织管理结构,归纳出矢量数据、遥感影像数据、统计数据、文本数据、图像数据等五类源数据,总结出针对性的数据利用方式,并设计处理、管理、利用方案和技术流程。In the digital mapping environment,data acqusition channels are more and more extensive,data types are more and more numerious,data structures are more and more complex.In order to realize the effective and rational use of multi source data and improve the efficiency and quality of map compilation,this paper analyzes and studies the types and characteristics of multi source data based on the visualization and cognitive theory of modern cartography and engineering practice.The data organization and management structure of multi source database and publishing database is proposed.Five types of source data,such as vector data,remote sensing image data,statistical data,text data and image data,are summarized.The targeted data utilization methods are summarized,and the processing,management and utilization schemes and technical processes are designed.
分 类 号:P283.1[天文地球—地图制图学与地理信息工程]
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