基于文本的地理空间数据挖掘与可视化

W eb文本挖掘在现今各行业中越来越受欢迎,而基于文本的地理空间数据的挖掘与可视化还是一个较新颖的研究领域。本文在综述文本数据挖掘研究现状的基础上,提出了基于传统文本的地理空间数据挖掘应用模型,利用Arcview作为构建模型的基础平台,实现了基于文本的地理信息的可视化和历史景点相关属性信息的查询。试验模型系统具有历史地物景点的分类、统计与显示查询等功能,并可以与现代景点进行对比分析。论文最后对此模型的不足作出分析,进而提出改进建议。

Geo-spatial data mining and visualization based on texts

Recently,Web Text Mining is more and more popular in different kinds of industries,while geographical Data Mining and Visualization based on text belong to an emerging field.After reviewing the status quo of text mining research,the thesis brought forward an application model of geographical Data Mining based on traditional texts,and implemented visualization of geographical information extracted from text data mining and inquiry of related attributes of historic scene places,by using Arcview3.2 as modeling platform.The experimental model system possesses a series functions,like classification,statistics,and presentation of historic scene places and so on.Moreover,it could be used to make comparative analysis between historic and current scene places.Finally the thesis analyzed the weakness of this model and further proposed suggestions for improvement.