Abstract
An artificial and ‘real’ set of test data are modelled as continuous surfaces by linear interpolators and three different cubic interpolators. Values derived from these surfaces, of both elevation and slope, are compared with analytical values for the artificial surface and a set of independently surveyed values for the real surface. The differences between interpolators are shown with a variety of measures, including visual inspection, global statistics and spatial variation, and the utility of cubic interpolators for representing curved areas of surfaces demonstrated.
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Hugentobler, M., Purves, R., Schneider, B. (2005). Evaluating Methods for Interpolating Continuous Surfaces from Irregular Data: a Case Study. In: Developments in Spatial Data Handling. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-26772-7_9
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DOI: https://doi.org/10.1007/3-540-26772-7_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22610-9
Online ISBN: 978-3-540-26772-0
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