Parameter estimation of Multivariate Geographically Weighted Regression model using matrix laboratory

Model of Multivariate Geographically Weighted Regression (MGWR) is the extension of multivariate spatial liniear model with local observation characters for each observation location. To obtain distribution of the MGWR model, parameter estimation of β_h (u_i, v_i) and variance covariance matrix of error (Σ (u_i, v_i )) is require to be determined. Besides using mathematical approach, matrix laboratory (MATLAB) algorithm can also be used to obtain parameter estimation of model of MGWR. The MATLAB is a high level programming language base on numerical computing technique to solve problems which involves mathematical operations with array data bases using matrix and vector formulations. Compared to mathematical approach, MATLAB has some advantages which are extensible and no constraint of variable dimension.