π₯ ππͺπ‘π©πππ§ππ©ππ§ππ ππ«ππ‘πͺππ©ππ€π£ ππ€π§ π©ππ π‘π€πππ©ππ€π£ π€π π ππ€π¨π₯ππ©ππ‘
This project aimed to identify the optimal location for a public hospital in Avellaneda, Buenos Aires through a multicriteria evaluation using QGIS software.
To determine the optimal location for the public hospital in Avellaneda, Buenos Aires, several criteria were taken into account, including the population distribution, existing hospitals and health units, proximity to railway stations, distance from the main street of the town and the highway, and the location of the Avellaneda Ecological Reserve.
βοΈ Shapefile with population density distribution.
βοΈ Shapefile with hospital locations.
βοΈ Shapefile with health unit locations.
βοΈ Shapefile with railway station and track locations.
βοΈ Shapefile with main street locations.
βοΈ Shapefile with highway locations.
βοΈ Shapefile with ecological reserve location.
βοΈ Shapefile of the Avellaneda district.
βοΈ The location must be in a sector with a population density of more than 50 inhabitants per hectare.
βοΈ It should be at a distance greater than 1500 meters from other hospitals.
βοΈ It should be located at a distance greater than 500 meters from other health units.
βοΈ It should be within 2000 meters of a train station.
βοΈ It should be within 3000 meters of the highway.
βοΈ It should be within 3000 meters of the main street.
βοΈ It should be at a distance greater than 500 meters from the ecological reserve.
βοΈ Simple and eye-catching poster consisting of Introduction, Factors Considered, Results, Conclusions, and Bibliography sections.
βοΈ Introduction: Provides information on the data used, criteria considered, and a map indicating the location of Avellaneda.
βοΈ Factors Considered: Illustrates maps of population density and location of hospital, health units, railway stations and tracks, main road, highway, and ecological reserve.
βοΈ Results: Exhibits a map highlighting the areas in the Avellaneda district that satisfy all the mandatory criteria.
βοΈ Conclusions: Emphasizes that QGIS was a proficient tool for conducting a multicriteria evaluation to determine the ideal site for the hospital.
If you have any question, comments, or suggestions, do not hesitate to contact me (melisa.s.rossi@gmail.com).