Integrating GIS and Spatial Statistical Analysis to Establish Evaluation Model of Regional Sustainable Development: A Case Study in Myingyan Myanmar

Due to the complexity of sustainable development, the selection of index system is very difficult and all these make it tough to collect, process and interpret data for the indexes. Consequently some of the methods of SD evaluation are less operational. This paper discuss a new approach by means of which the powerful analytical functions of GIS are integrated with the statistical analysis function of statistical software to establish a spatial statistical analysis model (SBSA) for Myingyan sustainable development. This model has some advantages as follows:\;(1) Being able to assimilate spatial data with statistical data,\;(2) The number of indexes is free of limitations, so the SBSA model is powerful in its operational ablility;\;(3) To break the limitation of administration boundary for evaluation unit, and extract the principal factors and their spatial distribution which affect regional sustainable development potential.\;The implementation of SBSA model shows that three principal factors (PF) affecting the potential capacity of the sustainable development in Myingyan District are food provision, physical condition and population pressure on environment. The analysis and interpretation of the three PFs provide decision and planning support for Myingyan government.