One of the most important and essential steps in using rain water harvesting systems is to locate and identify suitable places for implementing this technology.Considering that the utilization of the agent based spatial systems is rapidly expanding and the technology of operating agent based systems has become a growing field of research and research,the purpose of the present study is to develop a framework for the identification of areas with potential for rain water harvesting within the campus of Hakim Sabzevari University to provide appropriate tools for supporting decision making by managers and managers of the operation and management of local water resources.As a result, in this study, the simulation environment with NetLogo software as a tool for creating agent based spatial models was investigated and after mapping for each index in the ArcGIS environment, analyzes related to decision making of agent based were performed in the form of existing functions, and finally an assessment of the spatial collection rain water harvesting was studied in the studied area. The results showed that by using agent based spatial models modeling, it is possible to identify areas site selection of collecting rain water harvesting by simulating rain conditions and assessing the location of rain water harvesting collection. Also the results showed bayer lands without construction, appropriate empty space, placing on the course of runoff and a significant drop in water flow in the southwest of the university due to slope reduction, the main factors have been suitable places for collecting rain water harvesting.