It is well known that the spatial distribution of micro-organisms is heterogeneous. Taking spatiality into account allows for better modelling of the environmental parameters that drive the distribution of living organisms. We show that geographically weighted models perform much better in reconstructing water table depth in peatlands based on testate amoeba communities. The method (R package) can be used for any application of a regression model in the case of heterogeneous spatial distribution.