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TThanad
Last edited Sep 17, 2017
Created on Sep 17, 2017
This visualization uses kriging interpolation to predict values across a grid from a sparse set of 36 data points with x, y, and t coordinates. The result is shown as a set of filled contour paths, rendered via d3.geoPath and d3.geoIdentity, with each contour colored according to a sequential terrain color scale derived from d3.interpolateHslLong and d3.hsv. The underlying matrix algebra and variogram fitting are handled by a custom kriging.js library, while the contours are computed using d3-contour.
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forked from <a href='http://bl.ocks.org/anonymous/'>anonymous</a>'s block: <a href='http://bl.ocks.org/anonymous/8b7a607d72e500da0b65ce4fe19c8b68'>fresh block</a>
mit Licensed