Geographic Information Science at the Heart of Europe by Danny Vandenbroucke Bénédicte Bucher & Joep Crompvoets

Author:Danny Vandenbroucke, Bénédicte Bucher & Joep Crompvoets
Language: eng
Format: epub
Publisher: Springer International Publishing, Cham

Besides allowing to propagate uncertainties with non-linear aggregation functions, the Monte Carlo simulation approach also allows for more flexibility than an analytical approach that is usually bound to a specific aggregation process (Heuvelink 1998). It also allows to consider input uncertainties for already existing deterministic aggregation processes without the need to change the underlying models of the aggregation processes. Spatio-temporal aggregation also provides a mean to control the uncertainty in model workflows: Given that there is variability in the data within the aggregation regions, aggregating the data to the mean of an area, may reduce variability. However, the degree of variability reduction depends on the spatio-temporal autocorrelation (Gerharz and Pebesma 2012). The use case shown below illustrates that it also depends on the aggregation function used.

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