<p>Spatial variables driving the model that have strong correlation to deforestation and low spatial autocorrelation.</p
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
<p>Spatial predictors used to build the Species Distribution Model with notes on their perceived imp...
Candidate models explaining how spatial covariates influence riparian vegetation productivity (NDVI)...
Species distribution models are generic empirical techniques that have a number of applications. One...
<p>We used spatial error models to identify the most important factors (environment or history) for ...
<p>Explanatory variables used in deforestation and land-use conversion models in this study.</p
<p>Spatial distribution of predictor variables within each landscape (L1, L2 and L3): structural att...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
<p>Spatial correlogram of the normalized residuals of the mixed effects model of the relationships b...
Although numerous soil–landform modeling investigations have documented the effects and importance o...
If covariate and spatial effects are modeled at the same time in order to cover spatial autocorrelat...
Several studies in the hydrology field have reported differences in outcomes between models in which...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
Apparent spatial dependence might arise in either of two dierent ways: from spatial correlation, or ...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
<p>Spatial predictors used to build the Species Distribution Model with notes on their perceived imp...
Candidate models explaining how spatial covariates influence riparian vegetation productivity (NDVI)...
Species distribution models are generic empirical techniques that have a number of applications. One...
<p>We used spatial error models to identify the most important factors (environment or history) for ...
<p>Explanatory variables used in deforestation and land-use conversion models in this study.</p
<p>Spatial distribution of predictor variables within each landscape (L1, L2 and L3): structural att...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
<p>Spatial correlogram of the normalized residuals of the mixed effects model of the relationships b...
Although numerous soil–landform modeling investigations have documented the effects and importance o...
If covariate and spatial effects are modeled at the same time in order to cover spatial autocorrelat...
Several studies in the hydrology field have reported differences in outcomes between models in which...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
Apparent spatial dependence might arise in either of two dierent ways: from spatial correlation, or ...
Relative influence of predictor variables in models of climatic suitability for boosted regression t...
Spatial lag dependence in a regression model is similar to the inclusion of a serially autoregressiv...
<p>Spatial predictors used to build the Species Distribution Model with notes on their perceived imp...
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