Aggregated versus individual land-use models: Modeling spatial autocorrelation to increase predictive accuracy
The objective of this paper is to compare the predictive accuracy of individual and
aggregated econometric models of land-use choices. We argue that modeling spatial
autocorrelation is a comparative advantage of aggregated models due to the smaller
number of observation and the linearity of the outcome. The question is whether modeling
spatial autocorrelation in aggregated models is able to provide better predictions than
individual ones. We consider a complete partition of space with four land-use classes …
aggregated econometric models of land-use choices. We argue that modeling spatial
autocorrelation is a comparative advantage of aggregated models due to the smaller
number of observation and the linearity of the outcome. The question is whether modeling
spatial autocorrelation in aggregated models is able to provide better predictions than
individual ones. We consider a complete partition of space with four land-use classes …
[PDF][PDF] Aggregated versus individual land-use models: Modeling spatial autocorrelation to increase predictive accuracy
AY Jean-Sauveur, R CHAKIR, J LE GALLO - jsay.github.io
The objective of this paper is to compare the predictive accuracy of individual and
aggregated econometric models of land-use choices. We argue that modeling spatial
autocorrelation is a comparative advantage of aggregated models due to the smaller
number of observation and the linearity of the outcome. The question is whether modeling
spatial autocorrelation in aggregated models is able to provide better predictions than
individual ones. We consider a complete partition of space with four land-use classes …
aggregated econometric models of land-use choices. We argue that modeling spatial
autocorrelation is a comparative advantage of aggregated models due to the smaller
number of observation and the linearity of the outcome. The question is whether modeling
spatial autocorrelation in aggregated models is able to provide better predictions than
individual ones. We consider a complete partition of space with four land-use classes …
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