作者: Wei Zhang , Na Yu , Miao Liu , Yuan-Man Hu
DOI: 10.1109/CISP.2010.5647498
关键词: China 、 Multivariate statistics 、 Principal component analysis 、 Deforestation 、 Grassland 、 Population 、 Fragmentation (computing) 、 Physical geography 、 Geography 、 Shrub
摘要: Research studies aimed at integrating socio-economic and geo-bio-physical factors in order to improve our understanding of the causes effects landscape change. The study reported this paper addresses change driving forces area upper reach Minjiang River, China. Based on remotely sensed images, statistic data local government field survey, we studied pattern with approach metrics cross-tabulation. Using multivariate statistics method Principal component analysis (PCA), was analyzed. results showed that forestland decreased, however, shrub land grassland increased correspondingly. farmland economic cropland dramatically. fragmentation aggravated increasing number patches complexity shape. PCA analysis, changes were mainly driven by population continuous deforestation.