This study aims to develop a method to investigate the relationship between socio-economic status of village settlements and some topographic variables using geographical information systems (GIS) and spatial statistical methods. The study area is &Ccedil / ankiri province, a mountainous region that lays at the northeast of Ankara. 331 villages represented by areal units are used in this study. 195 variables are used to extract a single socio-economic status indicator. First, all the variables are divided under three groups, namely economic, social and service. Principal Components Analysis (PCA) is used to construct an index indicating socio-economic status. The parameters that represent natural environment are / mean elevation, mean slope, mean aspect and the ratio of high quality soil in the total area, for each settlement unit. The data is visualized by choropleth, cartogram and 3D techniques. Then it is explored by using correlograms, spatial moving averages and geographically weighted regression (GWR). Finally linear non-spatial regression and spatial regression methods are utilized in order to establish a relation between the socio-economic status and environmental parameters.