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Discovery and prediction of the unused land for construction based on random forest

机译:基于随机林的未使用土地的发现与预测

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With the rapid development of the society of China, a large number of land problems such as unused land or inefficient used land for construction exist in the process of land usages, which leads to a waste of massive land resources. In the management of land resources, not only solving the existing problems of the land, but also prediction of the problems of the land and prevention on land abuse are in demand urgently of the urbanization. In this paper, based on the land data of different time of Hannan district in Wuhan City, the algorithm of Random Forest is used to analyze and predict the problem of unused land for construction. The results show that with more related features of land problems, the algorithm of Random Forest has good performance on the unused land discovery and prediction.
机译:随着中国社会的快速发展,土地使用过程中存在大量土地问题,如未使用的土地或效率低效的土地,这导致浪费大规模的土地资源。在土地资源管理中,不仅解决了土地的存在问题,而且还预测了土地问题和防治土地滥用的需求迫切需要城市化。本文基于武汉市汉南区不同时间的土地数据,随机森林算法用于分析和预测建设未使用土地的问题。结果表明,随着土地问题的更多相关特征,随机林算法对未使用的土地发现和预测具有良好的性能。

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