Fang Ren, Ph.D.
Douglas M. Flewelling, Ph.D.
Economic and community planning professionals consistently look for ways to measure the strengths and opportunities of their locale. In an effort to restrain from participating in bubble and burst economic cycles, these professionals have turned toward models of economic sustainability. Industry cluster identification has become a popular starting point to develop policies aimed at these long term objectives. The presence of clusters indicates an opportunity to support industries considered to be specialized for a region, through workforce development and building collaborative ventures among public and private enterprises. However, the presence of clusters have traditionally been identified by analyzing data in tabular and spreadsheet form. These methods ignores a fundamental aspect and benefit of using clusters as the basis for development; location. Storing this data in a Geographic Information System (GIS) and presenting the information in a more digestible manner would allow planners to visualize the presence of clusters. This report documents the development of a GIS based web application that gives economic developers the opportunity to identify industry clusters in a new way.
Goose, S. (2010). Developing a Web Application to Identify Industrial Specialization in Southern California (Master's thesis, University of Redlands). Retrieved from https://inspire.redlands.edu/gis_gradproj/148