(*
Demo data includes:
1.latitude:lat
2.longitude:lon
3.atmospheric temperature:AMBTEMP
4.relative humidity:RH
5.PM2.5 concentration:PM25
*)
In[]:=
demoDATA=
;
In[]:=
(*Ordinarykriging*)​​sf0=SpatialEstimate[GeoPosition@Values@#[[All,{"lat","lon"}]]->#[[All,"PM25"]],VariogramFunction->Automatic,SpatialNoiseLevel->Automatic,SpatialTrendFunction->0]&@demoDATA
Out[]=
SpatialEstimatorFunction
Dimension: 2
SpatialNoiseLevel: 13.5
Trend Polynomial Order: 0

(*Universalkriging*)​​sf1=SpatialEstimate[GeoPosition@Values@#[[All,{"lat","lon"}]]->#[[All,"PM25"]],VariogramFunction->Automatic,SpatialNoiseLevel->Automatic,SpatialTrendFunction->(*IwanttoknowhowtobringatmospherictemperatureandrelativehumidityintoSpatialTrendFunction*)]&@demoDATA