2015
DOI: 10.1016/j.geomorph.2015.05.024
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Floodplain complexity and surface metrics: Influences of scale and geomorphology

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Cited by 62 publications
(40 citation statements)
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“…In summary, the surface metrics are used to indicate increasing surface variability, while the spatial correlogram model parameters (range and nugget) are used to indicate increasing "patchiness" or organisation in the surface (Table 2). It is argued here, and elsewhere (Scown et al, 2015a), that increasing variability and spatial organisation results in increasing spatial complexity. All surface metrics were measured within sampling windows of 50, 200, and 1000 m radius.…”
Section: Methodssupporting
confidence: 52%
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“…In summary, the surface metrics are used to indicate increasing surface variability, while the spatial correlogram model parameters (range and nugget) are used to indicate increasing "patchiness" or organisation in the surface (Table 2). It is argued here, and elsewhere (Scown et al, 2015a), that increasing variability and spatial organisation results in increasing spatial complexity. All surface metrics were measured within sampling windows of 50, 200, and 1000 m radius.…”
Section: Methodssupporting
confidence: 52%
“…VSG is a composite of four surface metrics (Table 2), measured at 50 random sample locations throughout each of the floodplains, while SPO is calculated from spatial correlogram models of Moran's I over increasing lag distances for each of the four surface metrics from 1000 random sample locations ( Table 2). Details of the procedures for calculating each indicator are provided in Scown et al (2015a). In summary, the surface metrics are used to indicate increasing surface variability, while the spatial correlogram model parameters (range and nugget) are used to indicate increasing "patchiness" or organisation in the surface (Table 2).…”
Section: Methodsmentioning
confidence: 99%
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