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Spatial Autoregressive Models and Data Analysis of Residential Transactions in Tehran
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Hamid Reza Rasouli *   |
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Abstract: (14994 Views) |
In this paper the different types of autoregressive models were described for analysis of spatial data. Then the model parameters were estimated using maximum profile likelihood function by assuming that the dependent variables or error terms have spatially autoregressive relationship. Next all the models were evaluated and finally, the application of the model is illustrated in a real example. |
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| Keywords: Spatial Lag Model, Spatial Error model, Moran Test, Spatial Weight Matrix |
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Full-Text [PDF 453 kb]
(3346 Downloads)
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Type of Study: Applied |
Subject:
Spatial Statistics
Received: 2012/11/14 | Accepted: 2013/05/14 | Published: 2013/05/14
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