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The mean shape index is a measure of patch complexity (McGarigal et al. 2002).
This is a measure of patch effectiveness, since it is related to the proportion of patches that were successful.
The landscape final model included Normalized Difference Vegetation Index (NDVI) Range, a measure of landscape heterogeneity, and Mean Shape Index, a measure of patch shape irregularity, and their interaction.
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It is unclear whether the suggested approach provides more information on landscape function than simple measures of patch heterogeneity.
Changes in patch size coefficient of variation and measures of patch shape complexity depended on ecological level (i.e. scale) and land cover class.
An EPC 10 amplifier under the control and measuring of Patch Master Heka Instrumentss) was used.
Based on bidirectional similarity measure of the patches, Simakov et al. [13] proposed an image summary algorithm.
One-way ANOVA also provides an implicit test of the null hypotheses that variation within habitats is larger than variation between them, thus providing a test of whether blocks of different habitat types are different enough to justify using them as a surrogate measure of 'resource patches' as used in the previous studies.
As the statistical approaches needed to implement such hierarchical causal models are observation-intensive, we utilise very high resolution (VHR) Earth Observation (EO) images to rapidly generate fine-grained measures of habitat patch internal heterogeneities over large spatial extents.
The similarity is measured by means of patch intensity vector distances.
But the true measure of this delightful patch of terroir goes beyond its wines.
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