<p>Significance estimates are corrected for spatial autocorrelation using modified <i>t</i>-test [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0174179#pone.0174179.ref027" target="_blank">27</a>]. The number of grid cells used in the analysis (N), corrected degree of freedom (D.F.) and the corrected probability are also given.</p
α-Diversity indices included the Patrick, Simpson, Shannon, and Pielou indices. Mountains were DD, B...
This paper presents a statistical approach, originally developed for mapping disease risk, to ecolog...
Correlations between cell and NPS data grouped by park type, population center/recognition, and park...
<p>Correlation values (ρ) of richness of total, wide-range and restricted-range species/lineages, an...
<p>Shaded areas represent the 95% confidence interval obtained through random shuffling (1000 times)...
<p>The bootstrapped 95% confidence error bars generated via 1000 bootstrap trials are shown.</p
<p>Lower left matrix: mean value and standard deviation of correlation amongst the zones. Bold value...
<p>The overall habitat suitability index was based on the mean of species-specific habitat suitabili...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Example data and software to calculate the spatial autocorrelation metric Ir. Companion to Landscape...
Aim Spatial autocorrelation in ecological data can inflate Type I errors in statistical analyses. Th...
<p>Associations are expressed as (A) the correlation coefficient (<i>r</i>) between feature values; ...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
α-Diversity indices included the Patrick, Simpson, Shannon, and Pielou indices. Mountains were DD, B...
This paper presents a statistical approach, originally developed for mapping disease risk, to ecolog...
Correlations between cell and NPS data grouped by park type, population center/recognition, and park...
<p>Correlation values (ρ) of richness of total, wide-range and restricted-range species/lineages, an...
<p>Shaded areas represent the 95% confidence interval obtained through random shuffling (1000 times)...
<p>The bootstrapped 95% confidence error bars generated via 1000 bootstrap trials are shown.</p
<p>Lower left matrix: mean value and standard deviation of correlation amongst the zones. Bold value...
<p>The overall habitat suitability index was based on the mean of species-specific habitat suitabili...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Recently, methods for constructing Spatially Explicit Rarefaction (SER) curves have been introduced ...
Example data and software to calculate the spatial autocorrelation metric Ir. Companion to Landscape...
Aim Spatial autocorrelation in ecological data can inflate Type I errors in statistical analyses. Th...
<p>Associations are expressed as (A) the correlation coefficient (<i>r</i>) between feature values; ...
Spatial statistical analyses are often used to study the link between environmental factors and the ...
α-Diversity indices included the Patrick, Simpson, Shannon, and Pielou indices. Mountains were DD, B...
This paper presents a statistical approach, originally developed for mapping disease risk, to ecolog...
Correlations between cell and NPS data grouped by park type, population center/recognition, and park...