http://wiki.geoscene3d.com/ 2026-04-09T09:27:11+00:00 http://wiki.geoscene3d.com/ http://wiki.geoscene3d.com/_media/wiki:logo.png text/html 2020-11-12T11:14:18+00:00 Anonymous (anonymous@undisclosed.example.com) http://wiki.geoscene3d.com/geoscene3d:application:interpolation:interpolation_algorithms:inverse_distance_weighted?rev=1605179658&do=diff Inverse Distance Weighted Inverse Distance Weighted (IDW) interpolation is simple and easy to use. It only takes an exponent as parameter. The resulting grid always intersects the data points. In 2D a low exponent produces rounded spikes, whereas higher exponents produce steep spikes. text/html 2020-02-02T17:26:54+00:00 Anonymous (anonymous@undisclosed.example.com) http://wiki.geoscene3d.com/geoscene3d:application:interpolation:interpolation_algorithms:kriging?rev=1580664414&do=diff Kriging Kriging is a sophisticated interpolation algorithm and is the preferred method when interpolating geodata. The core of the Kriging algorithm is basically Inverse Distance Weighting but the weighting is based on a statistical analysis of the data called a variogram. text/html 2020-02-02T17:25:14+00:00 Anonymous (anonymous@undisclosed.example.com) http://wiki.geoscene3d.com/geoscene3d:application:interpolation:interpolation_algorithms:nearest_neighbor?rev=1580664314&do=diff Nearest Neighbor Nearest-neighbor interpolation is a simple method of multivariate interpolation in one or more dimensions. The Nearest-neighbor algorithm selects the value of the nearest point and does not consider the values of neighboring points at all, yielding a piecewise-constant interpolant.