1. Using G.I.S. to Bridge the Gap Between Regional and Local Industrial Analyses Towards a cooperative framework within local communities in northeast Ohio March 12, 2003 J. Ritterbeck

2. Acknowledgements University of California, Santa Barbara Geography Department City of Stow, Ohio Greater Akron Chamber The Partnership Summit County Department of Development Northeast Ohio G.I.S. Users Group

3. Presentation Outline Introduction to problem and study area Overview of prior research Summary of purpose and goals Methodology Expected results

4. Problem Statement Clusters analysis technique problems Relatively simple procedures not supported by extensive statistical reasoning Evolution of methods imbred with cross-discipline biases Different techniques generate different results from same data Techniques are ‘structure-seeking’ although end up being ‘structure-imposing’ Aldenderfer, M., Blashfield, R., 1984. Cluster Analysis Series: Quantitative Applications in the Social Sciences, Sage Publications Inc., USA Regional analyses use overly generalized and vague data

5. Study Area: Regional  Local Northeast Ohio Cleveland/Akron CMSA Akron/Canton PMSA Greater Akron Region Summit County City of Stow

6. Prior Research Industrial Clusters: A.R.D.B., Greater Akron in Focus. 1997, Akron Regional Development Board: Akron, OH. Partnership, Clusters Project. 1998, Northeast Ohio Regional Economic Development Strategies Initiative. N.O.A.C.A., Northeast Ohio Regional Retail Analysis Executive Summary. 2000, Cuyahoga County Planning Commission for the Northeast Ohio Areawide Coordinating Agency. Industrial Linkages: Backward and Forward A.R.D.B., Greater Akron in Focus. 1997, Akron Regional Development Board: Akron, OH. Sweeney, Stuart and Edward Feser. 1998. “Plant Size and Clustering of Manufacturing Activity” Geographical Analysis 30:1, 45-64. Feser, Edward and Stuart Sweeney (2000) “A test for coincident economic and spatial clustering among business enterprises.” manuscript in Journal of Geographical Systems Daniels, T., Keller, J., Lapping, M., The Small Town Planning Handbook. 1995, Chicago, IL/Washington, D.C.: American Planning Association.

7. Project Summary Two General Purposes 1.Establishment of highly detailed G.I.S. at local level 2.Apply new detailed data back into regional initiatives Overall Study Goals Formulate structure of data collection, classification and analysis to enhance the accuracy of current initiatives Create template for local level application

8. Methodology Survey Stow Industry Classification within G.I.S. Industry name, N.A.I.C.S., production activity, type classification Run first cluster analysis old technique Run second cluster analysis new technique Identify similarities or discrepancies in cluster classifications

9. Expect Results Regional level Illuminate discrepancies in industry data classifications within clusters technique Develop new means of data collection and analysis Local level Produce advanced G.I.S. applications and analysis Create a means for easily updating and integrating data from multiple levels of analysis