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Kelvin-kalu/Nairobi_Quickmart_Coverage

Domain:

geospatial

Record type:

project
Creator:
Kel
Host:
GIS analysis of Quickmart supermarket coverage and population density in Nairobi, Kenya # πŸ—ΊοΈ Nairobi Quickmart Coverage Analysis > **GIS project identifying underserved high-density zones in Nairobi for strategic Quickmart supermarket expansion.** --- ## πŸ“Œ Project Overview This geospatial analysis examines the spatial distribution of Quickmart supermarkets across Nairobi County relative to population density. By overlaying 1 km walkability buffers against high-density residential zones, the project highlights coverage gaps β€” areas with large populations but no nearby Quickmart store β€” to support data-driven retail expansion decisions. --- ## πŸ—‚οΈ Repository Structure ``` Nairobi_Quickmart_Coverage/ β”‚ β”œβ”€β”€ workflow/ β”‚ β”œβ”€β”€ population_density.jpeg # Population density raster β”‚ β”œβ”€β”€ Quickmat_distribution.jpeg # Geocoded store locations β”‚ └── Catchment_areas.jpeg # 1 km catchment buffers β”‚ β”œβ”€β”€ Quickmart map.jpeg # Final composite map └── README.md ``` --- ## πŸ”’ Data Sources | Dataset | Source | |---|---| | Quickmart store locations | Geocoding | | Population density | Worldpop | | Nairobi administrative boundary | HDX | | Basemap | OpenStreetMap Standard | --- ## βš™οΈ Methodology ### Step 1 β€” Population Density Population density data for Nairobi County was acquired and visualised as a raster layer, providing a spatial baseline of where residents are concentrated. *Figure 1: Population density raster for Nairobi County* --- ### Step 2 β€” Store Distribution All Quickmart branch locations in Nairobi were geocoded and imported as a point layer in QGIS. *Figure 2: Geocoded Quickmart store locations across Nairobi* --- ### Step 3 β€” 1 km Catchment Buffers A 1 km Euclidean buffer was generated around each store, representing an approximate walking-distance catchment area for each branch. *Figure 3: 1 km walking-distance catchment buffers* --- ### Step 4 β€” Overlay Analysis/Final map The population density raster, store point layer, and catchment buffers were overlaid to identify: - Areas **within** catchment c …