Two statistical methods to reconstruct the spatial pattern of environmental data are compared: the Kriging and the Bilinear. The comparison is performed by evaluating two different characteristics of the methods: the interpolation and the estimation. The Kriging method is demonstrated to be better than the Bilinear regarding all the statistics studied, although the differences are not very significant. Especially, the Kriging is more efficient than the Bilinear in the reconstruction of peak values and it does not extrapolate local trends. The methods are applied to a set of environmental data measured in an urban area.
All Science Journal Classification (ASJC) codes
- Environmental Science(all)
- Management, Monitoring, Policy and Law
Carletti, R., Picci, M., & Romano, D. (2000). Kriging and Bilinear methods for estimating spatial pattern of atmospheric pollutants. Environmental Monitoring and Assessment, 63(2), 341 - 359. https://doi.org/10.1023/A:1006293110652