<p>Figures showing the Cartesian distance between Barycentric coordinates for both the data (a) and a model simulation using the best-fit parameter set (c). The autocorrelations for both of these are shown in figures (b) and (d) respectively. The 95% significance levels are not shown as their threshold is much larger than the calculated values.</p
A: Illustration of the L1 (blue) and (red) distances between two distributions. The green dotted li...
<p>All models were significant (P<0.05) after accounting for spatial autocorrelation.</p
The AR(1) and power models of spatial correlation are popular in the analysis of field trial data. ...
<p>A) Each point represents the distance between two counties as a function of the gravity model fit...
<p>Correlograms of the average autocorrelation coefficient (r) for 20 distance classes of 100 km eac...
<p>Coefficient “r” as a function of increasing cumulated distances (A). Correlogram “B” showing “R” ...
<p>(A) 5 km Distance Class. (B) 10 km Distance Class. (C) 20 km Distance Class.</p
<p>Distances are the maximum for each class, dashed lines are the 95% CI about the null hypothesis o...
<p>The numbers in bold indicate the best measure among the three models for each year.</p
<p>The numbers in bold indicate the best measure among the three models for each year.</p
<p>Spatial autocorrelation, expressed as Moran’s <i>I</i>, with incrementing distance class for the ...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...
<p>Gray bars represent a reduced model with only spatial effects included; unfilled bars represent a...
The histograms show the estimated probability mass functions with selected parameter vectors (neff,...
A: Illustration of the L1 (blue) and (red) distances between two distributions. The green dotted li...
<p>All models were significant (P<0.05) after accounting for spatial autocorrelation.</p
The AR(1) and power models of spatial correlation are popular in the analysis of field trial data. ...
<p>A) Each point represents the distance between two counties as a function of the gravity model fit...
<p>Correlograms of the average autocorrelation coefficient (r) for 20 distance classes of 100 km eac...
<p>Coefficient “r” as a function of increasing cumulated distances (A). Correlogram “B” showing “R” ...
<p>(A) 5 km Distance Class. (B) 10 km Distance Class. (C) 20 km Distance Class.</p
<p>Distances are the maximum for each class, dashed lines are the 95% CI about the null hypothesis o...
<p>The numbers in bold indicate the best measure among the three models for each year.</p
<p>The numbers in bold indicate the best measure among the three models for each year.</p
<p>Spatial autocorrelation, expressed as Moran’s <i>I</i>, with incrementing distance class for the ...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...
This paper is a first draft of the principle of statistical modelling on coordinates. Several causes...
<p>Gray bars represent a reduced model with only spatial effects included; unfilled bars represent a...
The histograms show the estimated probability mass functions with selected parameter vectors (neff,...
A: Illustration of the L1 (blue) and (red) distances between two distributions. The green dotted li...
<p>All models were significant (P<0.05) after accounting for spatial autocorrelation.</p
The AR(1) and power models of spatial correlation are popular in the analysis of field trial data. ...