Author/Authors :
Ajayi, M.T.A. Federal University of Technology Minna - Department of Estate Management, Nigeria , Nuhu, M.B. Federal University of Technology Minna - Department of Estate Management, Nigeria , Bello, M.Z. Federal University of Technology Minna - Department of Estate Management, Nigeria , Shuaib, S.I. Federal University of Technology Minna - Department of Urban and Regional Planning, Nigeria , Owoyel, G. Federal University of Technology Minna - Department of Urban and Regional Planning, Nigeria , Onuigbo, I. Federal University of Technology Minna - Department of Surveying and Geoinformatics, Nigeria , Babalol, A. University of Ilorin - Department of Surveying and Geoinformatics, Nigeria , Alias, A. university of malaya - Department of Estate Management, Malaysia
Abstract :
Housing management decisions require consideration of location and space. There is a constantneed for more technology and training in the industry and Geographic Information System (GIS)is not known to have been used in tackling the problems of housing conditions and relatedproblems in Minna. This study examines the relationship between housing conditions and rentalvalue of selected housing estates in Minna with the aid of GIS. Census sample technique wasadopted where all the houses in the housing estates were sampled. Satellite images of M.I. Wushishi Housing Estate, Bosso Estate and Oduoye Housing Estate were geo-referenced andmaps were produced for various analysis. Conventional geo-database was created for conditionsof houses in the housing estates and from it geo-statistical analyses was carried out which produce kriging and spatial autocorrelation analysis. In addition, correlation analysis was used to analyse the impact of building conditions on rental value. It was found out among others that building conditions has weak relationship with rental values in the housing estates. It was therefore recommended amidst others that Geo-statistical tools should be an instrument for measuring and monitoring of residential property development.
Keywords :
building condition , rental value , GIS , Kriging analysis , ArcGIS 10
