The interpolation of continuous surfaces from discrete points is supported by most GIS software packages. Some packages provide additional options for the interpolation from 3D line objects, for example surface-speci®c lines, or contour lines digitized from topographic maps. Demographic, social and economic data can also be used to construct and display smooth surfaces. The variables are usually published as sums for polygonal units, such as the number of inhabitants in communities or counties. In the case of point and line objects the geometric properties have to be maintained in the interpolated surface. For polygon-based data the geometric properties of the polygon boundary and the volume should be preserved, avoiding redistribution of parts of the volume to neighboring units during interpolation. The pycnophylactic interpolation method computes a continuous surface from polygonbased data and simultaneously enforces volume preservation in the polygons. The original procedure using a regular grid is extended to surface representations based on an irregular triangular network (TIN).Surfaces with only one possible height value at a location in the plane (2D surfaces) are usually generated from discrete geometric elements, such as points or lines with a height information. The height values between the data points or lines are interpolated following rules based on global or local properties of the data, mathematical models, experience, or expert knowledge about the formation of the real surface. The most common example for the model of a surface and its visualization is the surface of the earth as displayed on topographic maps. I thank Waldo Tobler for his contributions and the constructive discussion during the implementation and test of the TIN-based version of the pycnophylactic interpolation.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.