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We used PROC REG in SAS 9.3 (SAS Institute INC. Caryy, NC) to estimate connectivity as a function of natural vegetation in simple linear and quadratic polynomial models in PLAND; PROC NLIN in SAS 9.3 (SAS Institute INC. Caryy, NC) was used for a simple nonlinear exponential model.
In particular, the connectivity maps inferred by TE and CC (Figure 6A 6B and 6E 6F) show the most similarity, indicating the most promising methods to be used to estimate connectivity on these experimental preparations.
We used the potential synapse approach of Stepanyants and Chklovskii (2005) to estimate connectivity between PNs and LH neurons.
Both methods estimate connectivity scores as the sum of edge weights, but the WGNA's method does not estimate their corresponding P values.
To estimate connectivity from region A to another region B, all fibers from A that fall within B were summed, regardless of path or termination point.
This indicates that while the C. piquiti localities are clearly connected by gene flow and separated from other populations, there is insufficient data (i.e. geographically intervening samples) to estimate connectivity between C. melaniae and C. mirianae in the Xingu River.
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We then multiplied the connectivity matrix by itself 30 times to estimate connectivities among spawning locations for 30 dispersal events, which may be viewed as a multiple-generation connectivity and correspond better to gene flow than single dispersal events (e.g. White et al. 2010).
We estimated connectivity using the Proximity Index and matrix type as the proportions of savanna or regrowth forest around patches.
By exploiting information provided by Cooperative Awareness Messages that are broadcast periodically by each vehicle, an estimated connectivity time is computed and used to select a proper cluster head to form stable and long-lived clusters.
A recent investigation conducted by Smith and colleagues (2011) on methods for estimating connectivity maps suggested that those which attempt to ascertain the direction of influence among ROIs rarely provide reliable results.
Estimated connectivity values provided an excellent account of the measured data for word (p>0.99; RMSEand0−3) and pseudoword (p>0.67; reading0−3) reading, but also during the processing of the other categories (p-values in Table S1).
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