☕ How the Kernel Density Analysis Revealed the best spot (2) ?
The task is to identify the optimal location for a new coffee shop in Sacramento County by analyzing the spatial distribution of existing restaurants and food service establishments. The goal to leverage geographic data to support a strategic business decision, ensuring the new coffee shop would be situated in an area with high restaurant density to attract more customers and benefit from existing foot traffic.
The primary objective is to conduct a site suitability analysis using Kernel Density Estimation (KDE) to quantify restaurant density across the study area. Three candidate coffee shop locations — Downtown, Stockton Boulevard, and Old Placerville Road — need to be evaluated by comparing their proximity to restaurants and identifying which location offers the highest potential for success based on restaurant concentration.
To accomplish this, a systematic approach is followed using ArcGIS Pro and its Spatial Analyst tools:
The process begins by loading the "Restaurants/Food Service Permit Locations" point dataset from Sacramento County's Open Data portal and the "Candidate Coffee Shop Locations" layer into ArcGIS Pro.
The project's coordinate system is set to "NAD 1983 California (Teale) Albers (US Feet)" to ensure accurate distance measurements and consistency in spatial analysis.
Using the Kernel Density tool, a raster layer representing restaurant density per square mile is created. The tool is configured with a search radius of 5,280 feet (1 mile) and an output cell size of 98.4252 feet to balance detail and processing efficiency.
The output, named "food_permit_density," visualizes areas of high and low restaurant concentration, forming the basis for comparative analysis.
The Extract Values to Points tool is applied to sample restaurant density values at each candidate coffee shop location. The output feature class, "coffee_shop_with_food_density," includes a "RASTERVALU" field containing the density metric for each point.
A review of the attribute table of the output layer finds that the Downtown location has a density value of 148 restaurants per square mile, significantly higher than Stockton Boulevard (26) and Old Placerville Road (11).
A layout (Layout3.png) is created to visualize the results, highlighting density gradients and the candidate sites for clear, actionable insights.
The analysis conclusively identifies Downtown Sacramento as the most suitable location for the new coffee shop, with a restaurant density nearly six times higher than the other candidates. This outcome provides data-driven justification for selecting the Downtown site, maximizing the potential for customer engagement and business success. The workflow demonstrates the power of spatial analysis in supporting informed decision-making for commercial site selection.
📌 Tech Stack: ArcGIS Pro 3 — Spatial Analyst — Kernel Density — Extract Values to Points — NAD 1983 California Teale Albers — File Geodatabase
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