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Spatial density measures are an important tool for future healthcare planning, particularly in Northeast Thailand where the ageing population has rapidly increased for a decade. The objective of this study was to determine the relationship of geographic and elderly population density in Chiang Yuen district, Mahasarakham province, to ascertain suitable areas for elderly healthcare centres. The data of the elderly located in the villages were collected by the Global Position System (GPS) using Kernel density method to employ the analysis of population density, and GIS for healthcare mapping, and Analytical Hierarchy Process (AHP) as multiple criteria decision-making tools. Factors were determined by using the overlay analysis method, where social, physical and economic factors were variables of interest that were used for the analysis of suitable areas for Elderly Healthcare Centres. The results revealed that the spatial density of the elderly population could be divided into four levels: Low density for the agriculture areas, medium density for agricultural areas including small villages. High density for the areas near communities and public area services and highest density for the centre of towns. The most suitable area was an area with many elderly inhabitants in the community, near transportation routes including main highways leading to other areas. In conclusion, the results confirmed that the density of elderly and proximity to both local stores and transport would make the lower part of Chiang Yuen Sub-district a suitable area to establish a healthcare centre for the elderly, therefore, the authorities and stakeholders should recognise this in planning.

GIS Identifies Elderly Healthcare Centre Future Planning: A Case Study of Local Areas in Northeast of Thailand