An aggregation index (AI) to quantify spatial patterns of landscapes

403 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Evaluating the effectiveness of landscape metrics in quantifying spatial patterns (2010, methodology): “Only He et al. (2000) compared the performance of four aggregation Table 1 Varying parameters in generating simulated landscapes through SIMMAP.”
Behavior of class-level landscape metrics across gradients of class aggregation and area (2004, background): “Two closely related metrics in this group, PLADJ and AI He et al. 2000 , measure the degree of aggregation in a focal class based on like cell adjacencies.”
Evaluating the effectiveness of neutral landscape models to represent a real landscape (2004, background): “Total perimeter (or total edges) often affect the speed of flow across landscape boundaries, while the aggregation index is based on the adjacency property among neighboring cells or patches ( He et al., 2000).”
Parsimony in landscape metrics: Strength, universality, and consistency (2008, background): “…two decades there has been a proliferation of statistical measures of landscape structure (O’Neill et al., 1988; Turner, 1990; Turner and Gardner, 1991; Baker and Cai, 1992; Li and Reynolds, 1995; McGarigal and Marks, 1995; Gustafson, 1998; He et al., 2000; Jaeger, 2000; McGarigal et al., 2002).”