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GIS was used to evaluate the accessibility of breast screening services within Nova Scotia. Eight fixed clinics which were operating during the study period (2004 – 2006) were analyzed, as well as the ten fixed clinics expected to be operating in 2007 and all 95 unique mobile unit locations throughout the study period. By using network analysis, shortest paths from all points on the road network to each screening clinic were found and mapped through the usage of isochrones and isolines. These maps are important because they indicate which parts of the province have the longest drive times and distances for clients to travel to receive screening. These areas are found in parts of Cape Breton, as well as in Guysborough and Shelburne counties. Allocation of the road network to fixed clinics was performed and mapped to better illustrate fixed screening clinics nearest to clients by taking the road network into consideration. A marked difference can be noted in road allocation between the eight and ten fixed clinics with significant pressure removed from the Truro and Sydney clinics with the addition of two new clinics in New Glasgow and Antigonish. Location-allocation was conducted to determine the demand (number of women of eligible age) and to optimally allocate women to each screening clinic. Driving distances and time spent traveling to clinics were considered in all network analyses. From this it can be seen that the Kentville and Sydney clinics have the highest demand allocated to them. Dissemination areas were clustered into subsets which had common traits including NSBSP client participation. This could be useful for seeing descriptive data from another perspective and for making better decisions within the NSBSP. Several maps and tables were created to depict the frequency of client visits to the various clinics over space and time, both origins and destinations. These outputs allow for geographic visuals of the actual distribution of client visits. Various analytical methods were applied for the production of surfaces showing the probability of above average breast screening participation. Clusters of similar high and low client participation were determined and mapped.