Deriving the Declining Areas and Analysing Their Spatial Characteristics Using the Spatial Autocorrelation Measure
This study aims to analyse the spatial characteristics and to draw the declining areas from the whole area of Chung-Cheong Province. For this purpose, the temporal and spatial conditions by the urban decline diagnosis indexes are utilized. Additionally, the spatial autocorrelation method was applied for extraction of those areas. The spatial autocorrelation method is one of the methods on exploring spatial characteristics and considering the spatial factors. We also adopted the concepts of economics and then discovered the characteristics of deprivation areas. In applying this method, the positively valued areas were classified as the complementary areas, and the negatively valued areas as the substitutional areas. The findings show the declining areas and the growing areas caused by the growth of periphery. This study supports the regeneration plan of Chung-Cheong Province in extracting depressed or activated areas and explaining the characteristics of those areas.
Abstract This paper describes the philosophy, algorithms, and implementation of a computer simulation model for land use forecasting, and the capability of generating maps of these forecasts. The model is applicable to SMSA's organized on a census tract basis by counties. The forecasts are macro to the census tract level for industrial, residential, commercial and public land uses. Modeling is based on an economic data base of the region, and is extremely flexible for the user. An example set of forecasts and maps is included for illustrative purposes.