摘要
在大数据时代,数据量特别是关于自然资源的数据越来越多,离散而且无序,依赖数据挖掘技术获取数据潜在的信息已成为大数据管理、利用的发展趋势。文章运用GIS的空间分析功能处理土地资源数据,建立土地违法利用空间数据库,并在SSDT平台建立关联规则模型,智能地挖掘出了2010年至2015年非法用地与土地利用类型之间潜在的关联关系,并对挖掘结果做了详细分析和总结。
In the era of big data, the amount of data, especially the data about natural resources, is increasing, which is discretized and disorderly. Therefore, relying on data mining technology to obtain potential information has become the development trend of big data management and utilization. In the paper, the data of land resource were processed by the spatial analysis function of GIS, the spatial database of illegal use of land and the association rule model on the SSDT platform was established to intelligently excavate the potential correlation between the illegal use of land and the use type of land from 2010 to 2015 and the mining results were analyzed and summarized in detailed.
出处
《大众科技》
2018年第9期107-110,共4页
Popular Science & Technology