(Article of periodic en Anglais - 2009)

Document title

A comparison of interpolation methods for producing digital elevation models at the field scale

Authors(s) and Affiliation(s)

ERDOGAN S. (1) ;
(1) Afyon Kocatepe Univ, Fac. of Engineering, Dep. of Geodesy and Photogrammetry, Afyonkarahisar, TURQUIE


In this study, the magnitudes and spatial patterning of elevation errors were examined, using the effects of interpolation methods. Measurements were performed with theodolite and levelling. Previous research has demonstrated the effects of interpolation methods and the nature of errors in digital elevation models obtained with indirect survey methods for small-scale areas. The purpose of this study was therefore to investigate the size and spatial patterning of errors in digital elevation models obtained with direct survey methods for large-scale areas, comparing Inverse Distance Weighting, Radial Basis Functions and Kriging interpolation methods to generate digital elevation models. This study is important because it shows how the accuracy of the digital elevation model is related to data density and the interpolation algorithm used. Cross validation, split sample and jack-knifing validation methods were used to evaluate the errors. Global and local spatial auto-correlation indices were then used to examine the error clustering. Finally, slope and curvature parameters of the area were modelled depending on the error residuals using ordinary least regression analyses. In this case, the best results were obtained using the thin plate spline algorithm


Article of periodic

published at : Earth surface processes and landforms / ISSN 0197-9337 / CODEN ESPLDB

Editor : Wiley, Chichester - ROYAUME-UNI (1981)

Millesime : 2009, vol. 34, no3 [pp. 366-376-]

Bibliographic references : 1 p.

Collation : 7 fig., 6 tabl.



INIST-CNRS, Cote INIST : 17355

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1002/esp.1731

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2009
Refdoc record number (ud4) : 21936538 : Permanent link - XML version
Powered by Pxxo