define a distance measure for your section ID or simply remove the String part and use the integer. Then use hierarchical cluster algorithms. I would suggest ward or complete method. Not sure though. Give it a try and see what works
Thanks for your help so far. Initially, I was thinking of doing a python script that runs through the data and whenever and have a certain acceptable sigma value that it reaches
@robbieboy74 the data will be part of a larger heuristic model that's already built and functioning. We don't need data at the 50m level, we need it at between 200 and 500m. Otherwise, the model will be very long to optimize. also, condition ratings, let's say between 0 and 3 indicate Poor, whereas 'Fair' is between 3 and 5, etc.
@robbieboy74 there is no time factors, it's just sections of roads segmented over 50 m intervals. Clustering is probably a better term to what I'm trying to do. I'm not very familiar with the technical terms
we have a software that takes in a shape file as input to do some linear programming and markov chains modelling. The input layer comes from the road data provider as a geodatabase. Another Event table comes in that indicates which roads will be worked on over the next few years. I combine the shape file with event table to create one shape file to be used in teh software