An Assessment of Quantitative Uncertainty Visualization Methods for Interpolated Meteorological Data

摘要: Climatological data are mostly based on captured by the local climatological stations. It is necessary to interpolate stations’ get information about conditions for entire country. Types of interpolation method and their visualization do affect perception final results. Moreover, sources models have uncertainties associated with them. generally important be able visualize those uncertainties, especially quickly focus areas where there considerable disagreement. The follow-up interpretation visualized uncertainty can very helpful in some cases. Czech Hydrometeorological Institute provides a lot datasets from more than 250 article focused potential effective ways temperature time-series which also one most traditionally measured data. A comparing relatively new approaches used geographical research but has been already proven wide usage GIS analysis. evaluation methods as well geographic orderliness according accomplished discussed paper. Subsequent analysed phenomenon using this approach brings augmented accurate (geo) user, helps better decision.