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CPS1932 Carlos A. M. D.
            observe 6 clusters in period 2007 2011 and only 3 clusters in period 2012 -
            2016. On the other hand, war actions show changes in the clusters observed,
            going from 10 during the period 2007 - 2011 to 5 in the period 2012 - 2016.
            With this results it’s possible to propose some spatial regression models: SAR,
            SEM and SDM.

            4.  Discussion and Conclusions
               This  paper  consider  the  following  models  for  Spatial  Analysis  about
            colombian forced migrations: Spatial Autoregressive Model (SAR), Spatial Error
            Model  (SEM)  and  Spatial  Durbin  Model  (SDM).  Table  2  shows  differents
            parameters for the models estimates. Previously, data was separated in two
            group:  before  and  after  of  dialogues  to  understand  changes  in  spatial
            relationships between variables in study.
               Evidence suggests that spatial effects can’t be modeled by SAR model in
            first group and SEM models in both. The value for the Moran’s I in the SDM
            model suggests spatial randomness in the errors in both. For SAR model in
            group after dialogues the value for the Moran’s I in


            with more than 50 years of history.












                    (a) Forced Displacement     (b) War Actions
                     Figure 3: Moran Local Plot for Forced Displacement - War Actions















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