图例自动绘制技术与实现方法:以珲春地区土地利用图为例  

Automatic drawing technique and realization method of legend:taking land use map in Hunchun area as an example

作　　者：芦吉昆 李远华[1] 刘一儒 黄伟佳 冯予泽 田程 LU Ji-kun;LI Yuan-hua;LIU Yi-ru;HUANG Wei-jia;FENG Yu-ze;TIAN Cheng(College of Geo-exploration Science and Technology,Jilin University,Changchun 130026,China)

机构地区：[1]吉林大学地球探测科学与技术学院,长春130026

出　　处：《世界地质》2020年第4期978-985,共8页World Geology

基　　金：吉林大学大学生创新创业训练计划国家级项目(2018A2302);中国地质调查局基金资助项目(GFZX0404130302、DD20160076)资助。

摘　　要：为了实现图例自动绘制,服务智能化、数字化制图,利用数据库共享机制构建信息分离、多位集成的新型数字图例模型;从图形参数、图例内涵和结构优化等方面对图例要素进行整合与信息传递;提出图例自动绘制、图例结构优化等关键技术,并基于"C#+SQL+MapGIS10"二次开发模式实现了图例自动化绘制。研究结果表明:构建的新型数据库式图例模型,可使图例信息、形态和图形等要素高度独立,还可通过独立接口方便程序调用;图例绘制程序与图例结构智能判断、循环算法和自优化技术相结合,可实现图例实时绘制与优化;该方法提高了图例编制与自动化水平,参数独立存储可与其他地图要素实时交互,为地图智能加工进行了有益的技术探索。In order to realize automatic drawing of legend,intelligent service and digital drawing,the authors use the database sharing mechanism to construct a new digital legend model of information separation and multi-position integration.It integrates legend elements and transmits information from the aspects of graphic parameters,legend connotation and structure optimization.The key technologies such as automatic drawing of legend and optimization of legend structure are put forward.Based on C#+SQL+MapGIS10 secondary development model,automatic drawing of legend was achieved.The research results show that the new database legend model can make the elements of legend information,shape and figure highly independent,and can also be easily invoked by a program through a separate interface.Moreover,the integration of legend drawing program with intelligent judgment of legend structure,loop algorithm and self-optimization technology can realize real-time legend drawing and optimization.This method improves the level of legend compilation and automation,and the independent storage of parameters can interact with other map elements in real time,which is a beneficial technical exploration for intelligent processing of the maps.

关 键 词：图例模型 自动绘制 结构优化 数据库 二次开发 

分 类 号：S126[农业科学—农业基础科学]