Voronoi diagram

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Voronoi diagram

(mathematics, graphics)
(After G. Voronoi) For a set S of points in the Euclidean plane, the partition Vor(S) of the plane into the voronoi polygons associated with the members of S. Vor(S) is the dual of the Delaunay triangulation of S.
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Patient data were then divided by location into subsets corresponding to each Thiessen polygon, as previously discussed.
Thiessen polygons were drawn around each air quality monitoring station to determine the most plausible source of exposure for each individual patient.
We examined relationships between landscape-environmental conditions for the forest stand and changes in Amur honeysuckle over the 18 y time period by compiling data on the edge conditions and interior disturbances for each geo-referenced sample point and respective Thiessen polygon.
A Thiessen polygon represents an area around a point where all of the points within the area are closest to the surrounded point of interest than any other point of interest.
Two of the most widely accepted techniques to compute average precipitation depth are the Thiessen Polygon method and the Isohyetal method.
Compare the mean precipitation as determined by the arithmetic mean and the Thiessen Polygon methods.
These Thiessen polygon areas have been widely used in the construction of many individual based competition indices that were developed to predict the growth of individual plants as a function of interference from a certain subset of other plants in the neighborhood (Mead, 1966; Rhynsburger, 1973; Liddle et al.
The pre-announcement addresses these accents, Which follow from the recommendations of the previous project from 2017: - thiessen polygons have been used in the current process to feed the sewerage input into the rivers.
Similarly, there are more references in the book to Thiessen polygons than the one recognized in the Index.
Spatial analysis features include overlay, buffering, point-in-polygon, proximity, juxtaposition, reclassification, and Thiessen polygons.
com)-- No matter if you are a GIS beginner or an old hand; we always have some moments that are uncertain about how to use a particular function, like how to create Thiessen Polygons to draw a soil distribution map.
This extension includes basic statistical functions like scatter plot, regression analysis, and Thiessen polygons and advanced ones like Kriging methods.