Providing land value information from geographic data infrastructure by using fuzzy logic analysis approach

Effective management of land-related information aids in promoting sustainable land development in both urban and rural areas. Standardised and interoperable data is a key component of achieving successful land administration and applications. When different datasets are produced in an interoperable manner, various thematic applications can be performed easily and reliably. The concept of geographic data infrastructure (GDI) has emerged, with the purpose of developing geographic data standards and ensuring data interoperability. In this study, an extension model was designed using the Turkish national GDI for obtaining reliable land-related information produced by public institutions. In the model design, the thematic factors affecting the land and its value were considered in seven groups and evaluated separately. In this manner, standardised and reliable information regarding land produced by public institutions can be obtained by using a national GDI. Thereafter, a case study using fuzzy logic and geographical analysis techniques was performed to implement the model, as well as obtain thematic information and general value approximations supporting land administration. The resulting maps from the analysis reflected a close and logical tendency towards reality and the applied method was found to be effective for producing reliable and accurate land value maps. Using this model, the general trends and thematic value indexes regarding 23 criteria of land parcels can be determined and added to the parcel information for sharing through e-government services.