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基于数据密集型范式的制图综合难点解决模式

Solution Model of Difficult Points in Cartographic Generalization Based on Data Intensive Paradigm
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摘要 “范式”理论始终是引领各个领域科学研究的重要思想工具和实用工具,地理信息科学领域的研究手段和方法同样遵循4个范式的规律。数据密集型范式是范式理论发展的最新阶段,对各个领域的研究模式和方法产生了根本性的影响。制图综合是地图制作的关键环节,也是地理信息科学领域的世界性难题和热点问题。数据密集型范式将是解决该领域面临挑战的必然的理论、方法与技术。提出了数据密集型范式下居民地制图综合难点问题解决模式,分别设计了地图上居民地要素选取、合并和化简的模式和方法。 "Paradigm"theory has always been an important ideological and practical tool to lead scientific research in various fields.The research means and methods in the field of geographic information science also follow the laws of the four paradigms.Data intensive paradigm is the latest stage of the development of paradigm theory,which has a fundamental impact on the research models and methods in various fields.Cartographic generalization is not only the key link of map making,but also a worldwide difficult and hot issue in the field of geographic information science.Data intensive paradigm will be an inevitable theory,method and technology to solve the challenges in this field.This paper puts forward the difficult problem solving mode of residential mapping generalization under the data intensive paradigm,and designs the modes and methods of residential element selection,merging and simplification on the map.
作者 梁景东 LIANG Jingdong(Foshan Surveying Mapping and Geoinformation Research Institute,Foshan 528000,China)
出处 《测绘与空间地理信息》 2023年第5期202-205,共4页 Geomatics & Spatial Information Technology
关键词 数据密集型范式 地理信息科学 自动制图综合 深度学习 特征提取 data intensive paradigm Geographic Information Science automatic cartographic generalization deep learning feature extraction
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