Traditional and spatially explicit summary statistics obtained from spatial simulations under both landscape models tested: “altitudinal” (M1) and “latitudinal” (M2) models. Parameter settings associated with each simulation replicate are also provided
Simulated regions with different population densities and spatial structures.</p
The spatial prediction/simulation of point values from areal data of the same attribute is ad-dresse...
<p>Simulation results, (a) spatial distribution of scattering objects used for simulation, compariso...
<p>The error column reports the sum of squared residuals over the spatial entropy for each land use ...
<p>In the Data column, S1 indicates data from the first simulation method, S2 indicates data from th...
Our simulated landscape was comprised of 2,500 2km x 2km landscape cells and defined by a spatially ...
Test statistics and p-values from simulated data. IBR corresponds to landscapes that had a pixel res...
Researchers are increasingly able to capture spatially referenced data on both a response and a cova...
Three approaches to modelling spatial data in which simulation plays a vital role are described and ...
<p>The mean and standard deviation values were computed over 10 individual repeat simulation runs us...
<p>Simulated and “observed” data from statistics represent both a 10-year average from 1995 to 2004....
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environment...
<p>Values represent the average number of landscape metrics that were simultaneously matched (± SE)....
A simulation study is implemented to study estimators of the covariance structure of a stationary Ga...
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Simulated regions with different population densities and spatial structures.</p
The spatial prediction/simulation of point values from areal data of the same attribute is ad-dresse...
<p>Simulation results, (a) spatial distribution of scattering objects used for simulation, compariso...
<p>The error column reports the sum of squared residuals over the spatial entropy for each land use ...
<p>In the Data column, S1 indicates data from the first simulation method, S2 indicates data from th...
Our simulated landscape was comprised of 2,500 2km x 2km landscape cells and defined by a spatially ...
Test statistics and p-values from simulated data. IBR corresponds to landscapes that had a pixel res...
Researchers are increasingly able to capture spatially referenced data on both a response and a cova...
Three approaches to modelling spatial data in which simulation plays a vital role are described and ...
<p>The mean and standard deviation values were computed over 10 individual repeat simulation runs us...
<p>Simulated and “observed” data from statistics represent both a 10-year average from 1995 to 2004....
Spatial statistics are useful in subjects as diverse as climatology, ecology, economics, environment...
<p>Values represent the average number of landscape metrics that were simultaneously matched (± SE)....
A simulation study is implemented to study estimators of the covariance structure of a stationary Ga...
Performance metrics for spatial and linear models from 10-fold cross-validation simulations.</p
Simulated regions with different population densities and spatial structures.</p
The spatial prediction/simulation of point values from areal data of the same attribute is ad-dresse...
<p>Simulation results, (a) spatial distribution of scattering objects used for simulation, compariso...
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