In this paper, the authors were to investigate the application of Geographic Information System (GIS) in property valuation. The paper adopted descriptive research design to investigate the relationship between value of land and the factors influencing it. A population of 400 land parcels was used with a sample size of 100 parcels of land. Data collection was done by use of questionnaires. A multivariate regression model was used to link the independent variables to the dependent variable. The resultant Hedonic Pricing Model (HPM) indicated that the value of land can be predicted by using the following key attributes; land size, accessibility to bypass and accessibility to primary school.