A comparison of error propagation analysis techniques applied to agricultural models

Marco Marinelli, Robert Corner and Graeme Wright
Department of Spatial Sciences
Curtin University
Kent Street, Bentley,
Western Australia
Tel.: + 61 89 266 7565; Fax: + 61 89 266 2703
R.Corner@curtin.edu.au, G.Wright@curtin.edu.au

This paper examines two different methods  by which the error propagated through a GIS model, applicable to precision agriculture, may be calculated. The two methods are an analytical method, referred to here as a first order Taylor series method, and the Monte Carlo simulation method. Good agreement is found between the spatial distributions of the resulting error surfaces. However, the magnitude of the error calculated using the full analytical method that incorporates a term for the correlation between input data sets is larger than expected. The model is then examined for sensitivity to its inputs and found to be more sensitive to one of them. Some limiting conditions are also noted.

Keywords: spatial accuracy, error propagation, Monte Carlo simulation, Precision Agriculture

In: Caetano, M. and Painho, M. (eds). Proceedings of the 7th International Symposium on Spatial Accuracy Assessment in Natural Resources and Environmental Sciences, 5 – 7 July 2006, Lisboa, Instituto Geográfico Português

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