A FACTOR-ANALYSIS OF LANDSCAPE PATTERN AND STRUCTURE METRICS
A FACTOR-ANALYSIS OF LANDSCAPE PATTERN AND STRUCTURE METRICS
复制标题
DOI：
10.1007/bf00158551
复制
发表时间：
1995-02-01
影响因子：
5.2
通讯作者：
JACKSON, BL
中科院分区：
文献类型：
--
作者：
RIITTERS, KH;ONEILL, RV;JACKSON, BL
对85幅土地利用/土地覆盖图计算了55个景观格局和结构度量指标。 多元因子分析用于确定模式和结构的共同轴（或维度），这些共同轴（或维度）由26个度量的缩减集测量。 前六个因子解释了26个景观指标中约87%的变异。 这些因素被解释为平均补丁压缩，整体图像纹理，平均补丁形状，补丁周长面积缩放，属性类的数量，和大补丁密度面积缩放的复合措施。 我们建议，这些因素可以表示在一个更简单的方式由六个单变量指标-平均周长面积比，传染，标准化的补丁形状，补丁周长面积面积的面积缩放，属性类的数量，和大补丁密度面积缩放。
Fifty-five metrics of landscape pattern and structure were calculated for 85 maps of land use and land cover. A multivariate factor analysis was used to identify the common axes (or dimensions) of pattern and structure which were measured by a reduced set of 26 metrics. The first six factors explained about 87% of the variation in the 26 landscape metrics. These factors were interpreted as composite measures of average patch compaction, overall image texture, average patch shape, patch perimeter-area scaling, number of attribute classes, and large-patch density-area scaling. We suggest that these factors can be represented in a simpler way by six univariate metrics - average perimeter-area ratio, contagion, standardized patch shape, patch perimeter-area area scaling, number of attribute classes, and large-patch density-area scaling.