Abstract
The space correlation analysis (SCA) was proposed with its possibility of application on urban analysis in our previous papers. The calculating program of SCA, however, is not easy to develop for urban planners because the program has a relatively large size and complicated. The calculating theory is reconstructed to make SCA fit for practical use. The following possibilities of calculating method of SCA are shown ; 1) the space influence function (SIF) can be calculated by using ordinary library program, 2) the space correlation function (SCF) can be calculated very rapidly by using FFT (fast Fourier transform). Also presented in this paper are visual representation methods of SCA model with reliable range of estimated parameters. It is very important in actual planning to know the structure of spatial influence relation of urban activities accurately and intuitionally. Using the statistical range estimation and testing theory, 1) the method for getting the confidence interval of SCF is shown, and 2) the method for grouping the value of SCF is shown. The visual presentation of the results of the above methods are very effective to assist urban planners to understand the characteristics of spatial relation of urban activities.