Below is a map of settlement locations in the Zahle district provided by the UN Syria Data Portal. Each point represents multiple tents in the settlement.
The overall consideration for clinic location will be on the basis for the level of service per person. Based on a general criteria of having 1 clinic per 15,000-20,000 people, we can allocate about 4 clinics to the area. The method(s) to determine these locations utilized both kmeans method of determining mean point in a cluster and a location analysis algorithm that considers the weights of points for determining a location (special thanks to the author(s) of orloca, kmeans, and the always helpful ggplot2 packages in R).
For these purposes latitude and longitude of tent settlement locations are the most helpful. Here the settlements or points are colored according to the population of that settlement.
The clinics are located most closely to those settlements with the highest number of people. In the central Zahle area, these locations are about in the middle from a Latitude standpoint. Other locations are perhaps less intuitive if the population of settlements were not considered. Obviously with more clinics these points would change, but this is considered a minimum service level.
Using only this method to determine the location of a clinic would be problematic from the standpoint of what is actually on the ground with reference to street access or other local contingencies. Planning for medical facilities is more of an exercise for long-term planning considerations than emergency or relief medicine which may have more short-term goals such as providing care at all. Starting with taking into account the number of people being serviced and their location are important considerations as these camps become potentially longer-term obligations.
Those interested in the R code can find it here.