Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W2, 123-125, 2016
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W2/123/2016/
doi:10.5194/isprs-archives-XLII-2-W2-123-2016
 
06 Oct 2016
3D WEIGHT MATRICES IN MODELING REAL ESTATE PRICES
A. Mimis Dept. of Economic & Regional Development, Panteion University, Greece
Keywords: Spatial Econometrics, 3D, Spatial Analysis, Weight Matrices Abstract. Central role in spatial econometric models of real estate data has the definition of the weight matrix by which we capture the spatial dependence between the observations. The weight matrices presented in literature so far, treats space in a two dimensional manner leaving out the effect of the third dimension or in our case the difference in height where the property resides. To overcome this, we propose a new definition of the weight matrix including the third dimensional effect by using the Hadamard product. The results illustrated that the level effect can be absorbed into the new weight matrix.
Conference paper (PDF, 907 KB)


Citation: Mimis, A.: 3D WEIGHT MATRICES IN MODELING REAL ESTATE PRICES, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2/W2, 123-125, doi:10.5194/isprs-archives-XLII-2-W2-123-2016, 2016.

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