基于BP人工神经网络的区域土地利用集约度评价探析——以漳州市为例

Explore and Analysis of Regional Land Use Intensity Evaluation Based on BP Neural Network——A Case of Zhangzhou

土地利用集约度评价是区域土地集约利用的重要内容,从土地投入强度、利用程度、利用效益和土地持续利用趋势4个方面构建指标体系,运用人工神经网络,对福建省漳州市土地利用集约度进行评价,得出了土地集约利用水平区域差异显著的结论,并将漳州市各县(市、区)土地集约利用水平分为集约利用型、适度利用型、低效利用型和粗放利用型.研究结果表明,漳州市土地集约利用水平与经济发展水平呈正相关关系,集约利用总体水平不高.

Land use intensity evaluation is very important to intensive use of regional land. From four aspects such as land investment intensity, using degree, using benefits and land continually using tendency, an index system is constructed and BP network is used to evaluate land use intensity in Zhangzhou. The results suggest that the regional differences of land use intensity level in Zhangzhou is significant and the land use intensity can be classified into four types： intensive use, moderate use, inefficient use and extensive use. The studies imply that the level of land intensive use and the level of economic development in Zhangzhou is positively correlated and the overall level of land use intensity in Zhangzhou is not high.