• Aucun résultat trouvé

Appendix 3.

N/A
N/A
Protected

Academic year: 2022

Partager "Appendix 3."

Copied!
1
0
0

Texte intégral

(1)

Appendix 3. Correlation matrix produced by the Software for Assisted Habitat Modeling CovariateCorrelationAndSelection module showing the 11 predictor variables that were uncorrelated below the 0.7 threshold we used. The diagonal shows a histogram for each

predictor. Above the diagonal is the correlation coefficient for each pair, with text scaled by size of the coefficient. Where an ‘S’ is present in the bottom right the value is the Spearman rank coefficient; otherwise it is the Pearson’s coefficient. Below the diagonal is a scatterplot of the presence (red) and background (yellow) locations for each pair.

Références

Documents relatifs

Pearson correlation coefficient of habitat variables considered to model Barred Owl occupancy in the southern Piedmont.. Due to the highly fragmented nature of the study region,

The model of administrative document flow includes the following roles (owners): the product development manager; the customer representative; the developer; the tester.. As a

In this paper, we use an adjusted autoencoder to estimate the true eigenvalues of the population correlation matrix from a noisy sample correlation matrix when the number of samples

(A) Oblique anteroventral view of shell lying on its dorsal side with plastron removed documenting the original position of both scapulacoracoids.. Note that the coracoid blades

• The table II puts in evidence that the functions of the different types of orchards seem intuitively in accordance with the expected results for social and

Each unique examination was coded for the frequency of utterance type being spoken (i.e., questions identified as open-ended, probing, closed yes-no, leading, forced choice,

[r]

Regular measurement of atmospheric pollution by harmful emissions vehicles and establishment actual concentrations pollution requires a huge amount resources, in particular gas