<p>The error column reports the sum of squared residuals over the spatial entropy for each land use type and dissimilarity indexes between the actual city map and best-fit reconstructed maps. The base column details the fitted results using the constrained models and a random uniform distribution of the land use sectors throughout the city maps. Thus the base column reports controlled experimental results which highlight the differences when no dispersion and aggregation mechanisms are implemented. The above result shows that the model reported is three orders of magnitude statistically more accurate than a random growth model.</p
<p>Accuracy is shown as a function of subpopulation proportion (range: 0.1–1.2%; n = 15) at a mean d...
<p>Only models with significant components (marked with a *) are displayed. Proportion estimates are...
<p>Saturation marginal probability distributions from simulations of systems of territorial central ...
<p>The mean and standard deviation values were computed over 10 individual repeat simulation runs us...
<p>Using the range values determined in preliminary experiments (<a href="http://www.plosone.org/art...
<p>Simulated figures is randomly chosen representative sample of 10 runs whose statistical resemblan...
Traditional and spatially explicit summary statistics obtained from spatial simulations under both l...
Hendry [Hendry, D.F., this issue. Specification searches in spatial econometrics: the relevance of H...
<p>In the Data column, S1 indicates data from the first simulation method, S2 indicates data from th...
Maps are frequently used to display spatial distributions of parameters of interest, such as cancer ...
Sizes in a system of cities follow the so-called rank–size distribution or the more general Zipf's l...
(A) Errors between observed and simulated maps as percent of total urban area for 2006. (B) Errors b...
<p>The dependence of the saturation mean square displacement (saturation MSD) (resp. ) of the dimen...
International audienceAlthough simulation models of geographical systems in general and agent-based ...
Three approaches to modelling spatial data in which simulation plays a vital role are described and ...
<p>Accuracy is shown as a function of subpopulation proportion (range: 0.1–1.2%; n = 15) at a mean d...
<p>Only models with significant components (marked with a *) are displayed. Proportion estimates are...
<p>Saturation marginal probability distributions from simulations of systems of territorial central ...
<p>The mean and standard deviation values were computed over 10 individual repeat simulation runs us...
<p>Using the range values determined in preliminary experiments (<a href="http://www.plosone.org/art...
<p>Simulated figures is randomly chosen representative sample of 10 runs whose statistical resemblan...
Traditional and spatially explicit summary statistics obtained from spatial simulations under both l...
Hendry [Hendry, D.F., this issue. Specification searches in spatial econometrics: the relevance of H...
<p>In the Data column, S1 indicates data from the first simulation method, S2 indicates data from th...
Maps are frequently used to display spatial distributions of parameters of interest, such as cancer ...
Sizes in a system of cities follow the so-called rank–size distribution or the more general Zipf's l...
(A) Errors between observed and simulated maps as percent of total urban area for 2006. (B) Errors b...
<p>The dependence of the saturation mean square displacement (saturation MSD) (resp. ) of the dimen...
International audienceAlthough simulation models of geographical systems in general and agent-based ...
Three approaches to modelling spatial data in which simulation plays a vital role are described and ...
<p>Accuracy is shown as a function of subpopulation proportion (range: 0.1–1.2%; n = 15) at a mean d...
<p>Only models with significant components (marked with a *) are displayed. Proportion estimates are...
<p>Saturation marginal probability distributions from simulations of systems of territorial central ...