Making complex spatial optimization simple!
Address public health challenges with intuitive solutions designed for non-GIS experts. From disease tracking to optimizing health services, these user-friendly apps transform complex data and spatial analyses into actionable insights.
Geo-Visualizer
Sometimes, all you need is a simple, interactive, and visually appealing map to showcase your geo-referenced health data and facility network.
If that’s what you’re looking for, this app is made for you.
p-Median Solver
This user-friendly application solves the p-Median Problem by identifying the optimal locations for a specified number of new facilities.
The objective is to minimize the total demand-weighted distance between demand points and their closest facilities, optimizing access and ensuring efficient service distribution.
MaxCov-Solver
This application solves the Maximal Covering Location Problem (MCLP), a widely-used optimization model.
Its objective is to maximize demand coverage with the fewest possible new facilities, optimizing resource allocation and extending service accessibility.