Welcome to the website.
Short version: how to view the geolocated molecules:
This is how I setup the backend for the geolocated molecules, using Hoppala to provide hosting and editing for a Layar layer. Layar indexes Points of Interest (POIs) with associated information and URIs. These can then be picked up by the Layar browser on a mobile device, in order to create the 3D overlay on reality. However, Layar doesn't host the files itself; one option is to use Hoppala, which both hosts and allows for easy editing of POIs and metadata. The stages involved are:
A common analysis tool for spatial data is "patch statistics". The idea behind this is to divide a map up into connected clusters of the same type - called patches - and then compute statistics for these. This is quite similar to the blob detection used in vision based multitouch projects.
As part of the work I'm doing, we wanted to look at how likely certain areas are to be developed. We wanted to separate out areas which would definitely be developed, definitely not be developed and those which were "up for grabs".
There are several different scenarios about future development, which each provide a coherent set of parameters for the model. The model is also stochastic, so there are 30 runs for each scenario to give probabilistic futures. The task is to take the results from many runs under each condition, and produce a map showing probabilities of development.