Resumo

APONTE GOMEZ, Carolina; ROMERO AROCA, Elkin Mauricio  e  SANTA GUZMAN, Luis Fernando. Spatial Data Analysis of the Unsatisfied Basic Needs Index in the Andean Region. Perspectiva Geográfica [online]. 2015, vol.20, n.2, pp.391-418. ISSN 0123-3769.

The present paper uses a Beta Type Spatial Regression Model, to determine the Unsatisfied Basic Needs' Index in the Andean Region of Colombia, considering the explanatory variables based on the population census of 2005. The data used were obtained from Geographic Information System for Planning and Land Management. The effect of spatial dependence was incorporated, through the setting of a regressive autoregressive space mixed model. The results showed that the model has a good fit; some of the variables valued ending up being significant, which pointed out the need to contemplate the presence of the spatial autocorrelation in the models parameters' estimation. On the other hand, the possibility of having an approximation to the value of the index, from the variables considered, without having to carry out a population census should be noted. The work was developed using the software R 3.2.1 and ArcGIS 10.2.2.

Palavras-chave : beta type regression model; nbi (unsatisfied basic needs); poverty, andean region; lag spatial.

        · resumo em Espanhol     · texto em Espanhol     · Espanhol ( pdf )