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linguistic proximity index.
The weighted mean patch size (WMPS) index and proximity index failed to correctly rank sites.
The highest loadings for these six factors, in order, were the number of patches (NP), mean proximity index (PROX_MN), largest patch index (LPI), patch cohesion index (COHESION), total core area (TCA), and the proximity index coefficient of variation (PROX_CV).
We estimated connectivity using the Proximity Index and matrix type as the proportions of savanna or regrowth forest around patches.
First, this paper adopts the linguistic proximity index proposed by Adsera and Pytlikova (2015), labeled as API.
Mean proximity index (MPI) and interspersion juxtapostition index (IJI) showed contrasting trends, but the latter exhibited high values at extreme values of mean patch size (MPS).
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Thus, proximity indices to the point of collapse (PoC) that requires just voltage magnitudes are presented.
The linguistic proximity indices are collected from Dyen et al. (1992) and Adsera and Pytlikova (2015), respectively.
Ward's algorithm compares the proximity indices and identifies pairs of participants with the smallest distance value.
Experimental studies on real world networks from disparate fields indicate that NSIA performs well compared with NSI as well as other typical proximity indices.
These indices were always consistent with the proximity indices indicating that ≤ 100 m was the higher impact zone for PP, but for CRP the > 100 to ≤ 200-m zone was more relevant, specifically for individuals with BMI ≥ 30.
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