Maps depicting the spatial distribution of land prices are an essential reference in urban and regional planning during post-disaster recovery periods and beyond. Such maps are employed as one of the strategic assets for various purposes, such as optimally allocating land resources (Hu et al., 2016), developing special land policies for potential investors, and making economically justified planning decisions either by planning authorities or ordinary citizens (Cellmer et al., 2014). It is always critical for key investors and planners to investigate the economic value of land before starting any prospective project at the local and regional levels. However, it is more challenging to examine the variation in land prices in a wide area. This is due to the incredible budget- and time-consuming process behind extracting land price maps covering a whole region, which necessitates costly and lengthy field surveys. Furthermore, the available samples do not usually cover the entire study area in question as the data is collected from dispersed locations. For this reason, a specific spatial analysis is required to estimate land values at any given site.