<p>Square data points represent model results from spatially variable model settings.</p
<p>K = number of parameters; ΔAIC = change in AIC; <b><i>w<sub>i</sub></i></b> = Akaike weight.</p><...
Accounting for spatial correlation of LiDAR model errors can improve the precision of model-based es...
<p>Box plot depicts the 25<sup>th</sup> and 75<sup>th</sup> percentile around the median with whiske...
Remotely sensed data are commonly used as predictor variables in spatially explicit models depicting...
<p>Lower DIC values indicate a better model fit. Variable abbreviations correspond to metrics as fol...
<p>Each line represents a different model, with each % Park cover buffer (250 m, 500 m, 1 km) analyz...
<p>Values are significant intercepts or coefficients for the corresponding variables. The first subs...
<p>Parameter estimates of habitat and topographic variables measured at the management (1 km radius)...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
<p>The minimal values of the error Err for the TF model, the two null models: spatial (S model) or l...
Models of the dynamics of nitrogen in soil (soil-N) can be used to aid the fertilizer management of ...
<p>Model comparisons for functional relationship between percent canopy cover and the standard devia...
Quality and error assessment is an essential part of spatial analysis which with the increasingamoun...
<p>The genetic differentiation between populations was calculated as [F<sub>ST</sub> / (1-F<sub>ST</...
Proportion of plots with browse scores predicted correctly based on models created by random forests...
<p>K = number of parameters; ΔAIC = change in AIC; <b><i>w<sub>i</sub></i></b> = Akaike weight.</p><...
Accounting for spatial correlation of LiDAR model errors can improve the precision of model-based es...
<p>Box plot depicts the 25<sup>th</sup> and 75<sup>th</sup> percentile around the median with whiske...
Remotely sensed data are commonly used as predictor variables in spatially explicit models depicting...
<p>Lower DIC values indicate a better model fit. Variable abbreviations correspond to metrics as fol...
<p>Each line represents a different model, with each % Park cover buffer (250 m, 500 m, 1 km) analyz...
<p>Values are significant intercepts or coefficients for the corresponding variables. The first subs...
<p>Parameter estimates of habitat and topographic variables measured at the management (1 km radius)...
Binned differences between predicted versus observed numbers of golden eagle locations in 30x30-km g...
<p>The minimal values of the error Err for the TF model, the two null models: spatial (S model) or l...
Models of the dynamics of nitrogen in soil (soil-N) can be used to aid the fertilizer management of ...
<p>Model comparisons for functional relationship between percent canopy cover and the standard devia...
Quality and error assessment is an essential part of spatial analysis which with the increasingamoun...
<p>The genetic differentiation between populations was calculated as [F<sub>ST</sub> / (1-F<sub>ST</...
Proportion of plots with browse scores predicted correctly based on models created by random forests...
<p>K = number of parameters; ΔAIC = change in AIC; <b><i>w<sub>i</sub></i></b> = Akaike weight.</p><...
Accounting for spatial correlation of LiDAR model errors can improve the precision of model-based es...
<p>Box plot depicts the 25<sup>th</sup> and 75<sup>th</sup> percentile around the median with whiske...
DOI
Add to ORKG