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We documented two instances of spatial autocorrelation (for Cassin's auklet and common murre) at lags (distances) of 0 3 and 3 9 km, respectively, and accounted for this spatial pattern in analyses of habitat associations.
Attention was directed to either the FM of the complex tones, or the movement of the tones in azimuth, by requiring participants to detect oddball instances of spatial movement or FM depth, respectively.
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To evaluate the impact of scale on the algorithms we generate several instances of reduced spatial resolution images.
We illustrate how the photoacoustic effect can be used as a powerful feedback mechanism for optical wavefront shaping in complex media, and conversely show how the coherence of light can be exploited to enhance photoacoustic imaging, for instance in terms of spatial resolution or for designing minimally invasive endoscopic devices.
For instance, the use of spatial OFDM algorithms at the transmitter side allows generating data-carrying images in a way that makes them much robust to 2-D spatial distortions.
Other studies that used more direct research methods have revealed instances of fine-scale spatial avoidance by coexisting competitors that share similar diets.
On the other hand, detailed studies have revealed multiple instances of temporal and spatial differences in the expression patterns of some conserved microRNAs, with potential implications in animal evolution (Ason et al. 2006; Arif et al. 2013).
As some SDM solutions have specific limitations, for instance, due to coupling of spatial modes, we discuss related constraints and their impact on resource allocation schemes.
For instance, in the analysis of spatial connections in a streamflow monitoring network (such as the one shown in Fig. 1), a common measure used is the spatial correlation between nodes, and node pairs that have spatial correlation values exceeding a certain threshold value (T) may be assigned links (e.g., Sivakumar and Woldemeskel 2014).
If downranked Qualifiers that instantiate spatial meaning are added to the number of ranking Qualifiers, this figure increases to 42.3% (11/26 instances), nearly half the number of spatial meanings.
Future models should explore more detailed demographic scenarios, possibly in a more spatially explicit context (see for instance [ 57] for analysis of spatial patterns of polymorphism in A. thaliana).
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