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