Numerical recipes in C: the art of scientific computing
Numerical recipes in C: the art of scientific computing
A Next Step: Visualizing Errors and Uncertainty
IEEE Computer Graphics and Applications
Constructing a dem from grid-based data by computing intermediate contours
GIS '03 Proceedings of the 11th ACM international symposium on Advances in geographic information systems
Effect of differing DEM creation methods on the results from a hydrological model
Computers & Geosciences
Visualizing Large-Scale Uncertainty in Astrophysical Data
IEEE Transactions on Visualization and Computer Graphics
Geostatistical modeling of topography using auxiliary maps
Computers & Geosciences
Development of a pit filling algorithm for LiDAR canopy height models
Computers & Geosciences
Cross-validation as a means of investigating DEM interpolation error
Computers & Geosciences
Environmental Modelling & Software
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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.