We are keenly interested in uncovering how certain industries (in our case represented by NAISC codes) span and contribute to multiple industry cluster. The contention is that if you are going to act to improve the conditions for a particular industry, the best investment is into industries that are in multiple industrial clusters and preferably related to clusters that are viable in the region of concern. To visualize how the clusters and industries interrelate we used the techniques we are using for the social network analysis and turned the tools toward the quantitative data we collected on the employment in the region. We are using the sum of employment data (provided from Implan up in Minnesota) and the traded industries cluster to NAICS table we developed (based on the cluster profiles developed at Purdue University). What you see visualized are network maps that combine these two sets of information. The size of the node in this case is the number of employees, and the link simply means that a NAICS code exists in the region. The first map is that of the entire United States; the second is a map for Kansas. The next two are for Salina and Riley counties (the most populace in the region). AMI_Clusterdustries
“Greensburg’s Experience: Regional Public Health Date: May 11, 2009
There are 100 public health departments in Kansas, serving all 105 counties. But in many rural counties, the population is so small it’s difficult to provide a full range of public health services. Teaming up with other counties can help, and it turns out that teamwork is even more valuable when disaster strikes. Health Reporter Bryan Thompson has more as part of our series, “Kansas Health: A Prescription for Change”.”
It seems that many of the issues that affect understanding Health delivery in rural areas are similar to the issues around economic development.
byDWon Thursday, April 30th, 2009 at 11:16am Filed under Visualizations.
Here is a new interactive way to look at NAICS data. You can click on individual codes and blowup the data, you can also type in the code and zoom in on it that way.
Original source code developed at the Visualization Lab at UC Berkeley
Here is a visualization of the 19 county region. Using your mouse you can move around on the map and zoom in close to see the labels on the data. Each of the color wedges represents a traded cluster. If the wedge extends beyond the circle that means the county has a higher than expected concentration of people employed in that cluster.
By clicking on the round buttons you can see individual businesses by their cluster. Click on the big square either return the map to a centered view or shifts you to a side view from somewhere over Topeka, KS.
