De Klerk, MichelleFabris-Rotelli, Inger Nicolette2025-03-182025-03-182024-10De Klerk, M. & Fabris-Rotelli, I. 2024, 'Hospital accessibility catchment areas as a fuzzy lattice data structure', ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. 10, no. 4, pp. 99-106. https://DOI.org/10.5194/isprs-annals-X-4-2024-99-2024.2194-9042 (print)2194-9050 (online)10.5194/isprs-annals-X-4-2024-99-2024http://hdl.handle.net/2263/101568Paper delivered at the ISPRS TC IV Mid-term Symposium “Spatial Information to Empower the Metaverse”, 22–25 October 2024, Fremantle, Perth, Australia.The accessibility to basic facilities and services plays a pivotal role in every society and city planning. Spatial accessibility can vary between cities and countries and is mainly defined by the ease at which facilities can be accessed by communities. Facilities can provide essential services and/or products such as pharmacies, clinics, schools, universities, etc. Spatial accessibility is dependent on the spatial impedance between a facility and the target population and can be illustrated with catchment areas. We propose a fuzzy lattice catchment area method which uses a semi-supervised learning algorithm to create overlapping catchment areas. This methodology is applied to determine the accessibility to hospitals in South Africa and provides an illustration on the difference for regions with high accessibility compared to low accessibility. The application can easily be adapted in a variety of fields based on industry type, drive-time thresholds, supply capacity and the target population.en© Author(s) 2024. CC BY 4.0 License.Catchment areasFuzzy lattice dataSemi-supervisedLabel propagationLabel connectedSDG-11: Sustainable cities and communitiesArticle