摘要
利用2016年德化县土地利用现状图,以各个乡镇为单位,用Fragstats4. 2计算出耕地斑块密度因子、面积加权形状因子、斑块平均面积指数、面积加权分形维数与平均最近距离指数这5个指标值,来衡量土地细碎化程度,利用主成分分析法对这5个指标采用数据降维操作,得到2个主成分因子,进而分析了第一、二主成分、综合主成分这3个指标的空间相关性,结果表明:(1)第一、二主成分可以很好的反映德化县各个乡镇的细碎化状况;(2)德化县的耕地细碎化具有一定的空间自相关性,表现为一定的集聚特性。
Using the present landuse map in Dehua County in 2016, the 5 indexes of cultivated land patch density factor, area weighted shape factor, patch average area index, area weighted fractal dimension and average nea- rest distance index are calculated by Fragstats4.2, and the degree of land fragmentation is weighed and the princi- pal component is used. The analysis method uses data reduction operation for these 5 indexes to get 2 principal component factors, and then analyzes the spatial correlation of the 3 indexes of first, second principal components and comprehensive principal components. The results show that： （1） first, second main components can reflect the fine fragmentation status of the villages and towns of Dehua County. （2） the fragmentation of cultivated land in Dehua county has a certain spatial autocorrelation, showing a certain agglomeration characteristics.
作者
盖树鹏
陈松林
GE Shu-peng;CHEN Song-lin(College of Geographical Sciences,Fujian Normal University,Fuzhou 350007,Fujian,China;Fujian Key Laboratory of Subtropical Resources and environment,Fujian Normal University,Fuzhou 350007,Fujian,China)
出处
《云南地理环境研究》
2018年第4期44-52,共9页
Yunnan Geographic Environment Research
基金
国家自然科学基金"多维视角下台商对农业投资的技术扩散研究"(41771136)
福建省科技重大专项"水土流失初步治理区生态循环与产业提升技术"(2012NZ0002)
关键词
细碎化
德化县
空间自相关
莫兰指数
土地流转
fragmentation
Dehua County
spatial autocorrelation
moran index
land circulation
