A study on the evaluation of Geo-statistics models used for rainfall erosivity mapping:A case study in Latian Basin
|Category||GIS & Remote sensing|
|Location||The 24 Symposium of Geosciences|
|Holding Date||19 August 2007|
Interpolation algorithms are among widely used methods used to produce necessary layers in GIS environment particularly erosivity maps. Accuracy in produced maps using these algorithms is very important for concise conclusions. Meteorological data especially precipitation ones are very scattered and uneven. As these data are needed widely in different erosion models, Geo-statistics and its components can give a good estimate while there is not enough chain data. In this research, different methods such as Krigging, Cokrigging, Splineand Inverse Distance Weighting methods were used in Datum taken in LatianBasin. These methods were also compared too.