【摘要】 面对海量的林业空间与非空间数据,提取隐含的信息是"数字林业"急需解决的关键问题之一。数据挖掘和可视化是处理和分析海量空间数据的有力工具,利用它们可以有效地剖析隐藏在数据背后的信息与知识,为我林业规划与决策提供服务。本文将空间数据挖掘和可视化技术整合为一个有机的整体,集成两者的优势,阐述了可视化技术在空间数据挖掘研究中的意义。并讨论了空间数据可视化表达模式和可视化与空间数据挖掘的整合。针对林业资源数据的特点,提出在可视化表达空间数据的基础上对林业数据的多维信息进行综合分析。最后,开发了原型系统,初步实现了林业数据可视化挖掘。更多还原

【Abstract】 How to extract the implicit information from massive forestry data has been an urgent key task for us. Data Mining and Visualization are powerful tools for processing and analyzing massive spatial data. They can help us effectively discover information and knowledge from data for serving forestry planning and decision-making. This paper integrates data mining and visualization into visual data mining with their advantages. The application of visualization in spatial data mining is presented. Visualization mode of spatial data and integration of spatial data mining and visualization are discussed. Aimed at the characteristics of data in forestry resource,this paper proposes that we can comprehensively analyze multidimensional information about forestry resource. Finally,a prototype was developed and visual mining in forestry was realized.更多还原