 Existing methods for spatial interpolation, most notably Gaussian processes and spatial autoregressive models, tend to suffer from  (a) a trade-off between modelling local or global spatial interaction , (b) the assumption there is only one possible path between two points , and (c) the assumption of homogeneity of intermediate locations between points .
<meaning-changed>  Existing methods for spatial interpolation, most notably Gaussian processes and spatial autoregressive models, tend to suffer from  (a) a trade-off between modelling local or global spatial interaction , (b) the assumption there is only one possible path between two points , and (c) the assumption of homogeneity of intermediate locations between points .
 Existing methods for spatial interpolation, most notably Gaussian processes and spatial autoregressive models, tend to suffer from (a) the assumption of stationarity , (b) the assumption there is only one possible path between two points , and (c) the assumption of homogeneity of intermediate locations between points .