Spatial Analysis of Urban Settlement Distribution and Social Distancing Challenges in Ghana Using GRID3 Geospatial Data

Ghana's urban settlement patterns show strong spatial clustering, which has important ramifications for service delivery, urban planning, and public health. This study used the GRID3 Social Distancing dataset to examine the density and dispersion of urban settlements throughout Ghana. To find settlement hotspots, measure geographical compactness, and evaluate multi-scale clustering, spatial analytical methods such as Kernel Density Estimation (KDE), nearest-neighbor distance analysis, and Ripley's K and L functions were used. The findings show that settlements are strongly concentrated southward, with the Ashanti and Greater Accra regions having the largest densities and the northern savannah zones having more dispersed settlement patterns. While northern towns showed more isolation, creating logistical issues for service delivery, nearest-neighbor distances verified compactness in southern urban centers, emphasizing difficulties for social distancing and public health interventions. The existence of clustering across several spatial scales was statistically confirmed by Ripley's K and L functions. The results emphasize the necessity for distinct regional policies that strike a balance between infrastructure provision, urban expansion, and public health readiness, as well as the use of high-resolution geospatial databases like GRID3 for evidence-based planning. In order to promote focused service delivery, sustainable urban growth, and increased resilience in Ghanaian cities, this study offers vital insights.