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Data were analysed using Spatial Analysis by Distance IndicEs methods to describe the main characteristics of earthworm spatial patterns: aggregation index, patch and/or gap number and size, and the frequencies of species association or dissociation.
To address this limitation, an algorithm has been developed to include the property contributions predicted by combined group contribution and connectivity indices methods into the cluster space.
Recently, several researchers have showing interest on assessment of water quality for the suitability of drinking purposes using water quality indices methods (Giri et al. 2010; Ravikumar et al. 2013; Singh et al. 2013b; Kumar et al. 2014; Tiwari et al. 2014, 2015a, b; Prasad et al. 2014; Logeshkumaran et al. 2014; Bhutiani et al. 2014; Panigrahy et al. 2015).
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Even searching by song title, musician name or musical genre, to name a few standard indexing methods, often becomes fairly useless when that search yields hundreds if not thousands of songs.
Several overly and index methods have been developed.
Additive and weighted index methods were compared for SQI estimation.
Optical simulations were performed using the spectral index and the effective index methods.
Common spatial index methods include the R-tree and its variants.
In this paper, we present three indexing methods deployed on commodity computers.
However, in many cases, multidimensional access methods outperform one-dimensional indexing methods.
Index methods can be valuable for monitoring forest-dwelling vertebrates over broad spatial or temporal scales.
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