大数据智能时代地图学课程内容改革探索  

Reform of cartography course teaching content in the era of big data

作　　者：刘慧敏[1] 邓敏[1] 刘宝举[1] 陈杰[1] LIU Huimin;DENG Min;LIU Baoju;CHEN Jie(Department of Geo-infomatics,Central South University,Changsha 410083,China)

机构地区：[1]中南大学地理信息系,湖南长沙410083

出　　处：《测绘通报》2021年第6期152-155,165,共5页Bulletin of Surveying and Mapping

基　　金：中南大学教育教学改革研究项目(2019jy049,2019JG053,2020jy012);中南大学课程思政建设项目(2020kcsz056);“中南金课”建设项目(地图学概论010504Z10)。

摘　　要：为了适应当前智能时代大数据的特点和地图应用的发展,本文结合当前地图学课程内容设置现状,分析在大数据时代地图学教学的特点,多源地理信息的参考体系差异、多维度地理信息高效可视化、多尺度表达的灵性化、地图用户需求的多样化等对地图学教学提出的新要求,在此基础上,结合地图学课程教学的理论与实践目标,提出在地图数学基础、地图可视化技术、地图综合和地图分析等进行课程教学内容改革的主要思路,增设新型坐标系知识、多维动态可视化技术、地图应需综合的多尺度表达方法、全息地图理论等主要知识点,并给出了课程实验教学改革的设计。Combined with the development of big data and map application,this paper analyzes the teaching content of cartography course in the era of big data,including the differences of reference system of multi-source geographic information,the visualization of multi-type geographic information,the representation of multi-scale maps,the various needs of map users.In view of these new requirements,the main ideas of curriculum reform are put forward by considering the theoretical and practical objectives of cartography.Especially,this reform involves the mathematics foundation of cartography,map visualization technology,map generalization and map analysis.Moreover,the new coordinate systems,multi-dimensional dynamic visualization,multi-scale representations and pan-information-based map theory are added as the main knowledge points.Correspondingly,these new contents are assigned in the experimental teaching of the course.

关 键 词：地图学 大数据 人工智能 全息地图 课程改革 

分 类 号：G64[文化科学—高等教育学]