It asks why apparently suitable water and land resources translate unevenly into viable production, and argues that suitability must be treated as a spatially varying composite rather than a single biophysical threshold. The article formalises a Composite Aquaculture Suitability Index integrating Slope, Drainage density, Rainfall intensity, Land cover, Soil permeability, Elevation and Distance to channels, and specifies a geographic information systems workflow involving standardisation, weighting, kernel density estimation, buffer analysis and network connectivity across administrative units. The framework proposes decision rules for classifying suitable, conditional and unsuitable zones and for sequencing extension, input supply and environmental safeguards. The contribution is a transferable, policy-readable method for aligning aquaculture investment with landscape constraints in data-scarce settings.