Factors biasing the correlation structure of patch level landscape metrics
作者: Szilárd SzabóZoltán TúriSándor Márton
作者单位: 1Department of Physical Geography and Geoinformation Systems, University of Debrecen, Egyetem tér. 1, 4032 Debrecen, Hungary
2Department of Sociology and Social Politics, University of Debrecen, Egyetem tér. 1, 4032 Debrecen, Hungary
刊名: Ecological Indicators, 2014, Vol.36 , pp.1-10
来源数据库: Elsevier Journal
DOI: 10.1016/j.ecolind.2013.06.030
关键词: Spatial metricsCorrelation structureMultivariate analysisPCAGeneralization
原始语种摘要: Abstract(#br)Landscape metrics are in varying correlations with each other. Several authors have revealed their correlation structure and determined sets of metrics which can be used in landscape analysis. We assumed that correlation structure is not stable and is biased by several factors, thus, selection based on the correlation can vary by case studies. In this study we dealt with 13 patch level landscape metrics using three landscape types, consisting of 9 subregions with 7 and 14 land cover classes, applying 5 different cell sizes. In each step of the analysis other factors that can bias the results were controlled, or the analyses were carried out separately. In accordance with our aims, we uncovered the factor structure of the metrics in different situations, with the parameters...
全文获取路径: Elsevier  (合作)
影响因子:2.89 (2012)

  • metrics 规格
  • landscape 景观
  • correlation 对比
  • level 水准
  • uncovered 无包装的
  • structure 构造
  • congruence 一致
  • dealing 对待
  • multivariate 多元
  • applying 施加