Nowadays, GIS techniques have been widely used in every walk of life. Owing to the rapid urban growth, it is of importance to plan and develop the cities in a reasonable and scientific way. As a result, optimum sites of different constructions should be considered to make full use of land resources and optimize urban structure. Although the traditional field-survey method is important, GIS-based multi-criteria analysis (MCA) provides a more reasonable and scientific way in site selection issue. Weihai, our study area, is one of the fastest developing coastal cities in China. Owing to the rapid urban expansion, Weihai government municipality planned to develop the Poyu town into a new district with multifunctions. In consideration of its advantages in natural resources and geographic position, a holiday resort is proposed. In the aim of applying GIS-based MCA in site selection, this thesis would present an experiment to select the optimal site for a holiday resort with the help of GIS techniques. The data used in this project is a satellite image and digital elevation data of Poyu town. The satellite image has been digitized to obtain the current land use map, based on which constraint maps and factor maps have been made to make preparation of multi-criteria analysis. Finally, the multi-criteria analysis model has been made. The weights for multi-criteria analysis are obtained from the advice of experienced people in Weihai Planning Bureau and also earlier studies on the site selection. There are three sets of weights based on three themes that have been used in this project. The three themes which were fruit-picking theme, seascape and seafood theme as well as leisure and recreation theme were decided based on the results of the questionnaire. Through the discussions of the results, a final selected site for the holiday resort was determined. It includes the optimal site for the main part focusing on both fruit picking theme and leisure and recreation theme and also the optimal site for an accessory part focusing on seascape and seafood theme. The final section concludes the general project work, its perspectives and the function of GIS-based MCA in site selection.