Spatio-Temporal Analysis of Bida Houssing Market using Geographic Information System

Abstract

Previous studies show importance of spatial distribution of housing price and its variability over time, but did not cover various types of houses with their prices over time. This study therefore focused on examining spatial and temporal changes in Bida housing market from 2008 to 2018 using Geographic Information System (GIS). In particular, it focuses on the spatio-temporal auto-correlation of spatial distribution of residential housing prices over ten year period. Ordinary Kriging (OK) model was used to carry out the analysis. This model is consistently estimated by the maximum likelihood approach and they were compared with respect to the changes that occur within the period. For each model, geospatial layers were produce in order to ascertain the changes that occur. This paper establish the benefits associated with the use of GIS technology in housing research and the substantial benefits obtained by modelling the spatial as well as the temporal dependence of the data. Specifically approaches to trends and changes in the housing market, which can also extend to various aspects of housing studies.