模糊SOFM-GIS空间聚类模型在农用地分等中的应用

Fuzzy SOFM-GIS space evaluation model and its application in farmland classification

摘要: 针对目前农用地分等方法中的存在的不足之处，提出将模糊理论、自组织特征映射(Self-Organizing Feature Map，SOFM)网络与GIS相结合，构造出一种新的农用地分等模型—模糊SOFM-GIS空间聚类模型。并利用此模型对广东省高要市农用地进行农用地分等评价，结果表明采用模糊SOFM-GIS空间聚类模型进行农用地分等评价具有稳定、结果可靠等特点。

Abstract: Based on the shortage of the classification methods in the farmland, fuzzy theory, self-organizing feature map network, and GIS were integrated to develop a Fuzzy SOFM-GIS Space classification Model. The feasibility of applying the Fuzzy SOFM-GIS Space classification Model to classify the farmland in the Gaoyao city in Guangdong Province was investigated and verified. The results show that by using Fuzzy SOFM-GIS Space classification Model classifying the farmland is stable and reliable, the nature quality rating in farmland is ⅩⅩⅦ to ⅩⅩⅩ, area is 32089.2 hm², accounting for a percentage of 86.4% of the sum farmland area of the Gaoyao.