Assessing interpolation accuracy in elevation models

Author

Wood, Joseph D. ; Fisher, Peter F.

Author_Institution

Dept. of Geogr., Leicester Univ., UK

Volume

13

Issue

2

fYear

1993

fDate

3/1/1993 12:00:00 AM

Firstpage

48

Lastpage

56

Abstract

Methods that identify the spatial variation in elevation model accuracy and highlight relative variation are proposed. Visualization within the geographic resources analysis support system (GRASS) is used to identify the accuracy preserved in interpolation digital contour data to produce elevation models. The interpolation routines are inverse distance weighting, contour flood filling, simultaneous over-relaxation, and one-dimensional spline fitting. The results of the interpolation process are presented as colored contours, shaded relief maps, aspect maps, and products of Laplacian filtering, profile and plan convexity, and visualizing root mean square error methods.<>

Keywords

data visualisation; geographic information systems; interpolation; splines (mathematics); Laplacian filtering; aspect maps; colored contours; contour flood filling; elevation model accuracy; elevation models; geographic resources analysis support system; interpolation accuracy assessment; interpolation digital contour data; inverse distance weighting; one-dimensional spline fitting; plan convexity; profile convexity; shaded relief maps; simultaneous over-relaxation; spatial variation; visualisation; visualizing root mean square error methods; Data visualization; Digital elevation models; Geographic Information Systems; Interpolation; Loss measurement; Q measurement; Root mean square; Solid modeling; Spatial databases; Uncertainty;

fLanguage

English

Journal_Title

Computer Graphics and Applications, IEEE

Publisher

ieee

ISSN

0272-1716

Type

jour

DOI

10.1109/38.204967

Filename

204967