Nicknamed the father of environmental justice, Robert Bullard argues that researchers in the field have more reason than ever to back up their work with action.
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Yet Gabb points out that woven through the sweetness are money worries, family obligations and a history of depression that the couple are learning to manage together.
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This approach shares a lot in common with the idea of multivariate interpolation over scattered data. Multivariate interpolation attempts to estimate values at unknown points within an existing data set and is often used in fields such as geostatistics or for geophysical analysis like elevation modelling. We can think of our colour palette as the set of variables we want to interpolate from, and our input colour as the unknown we’re trying to estimate. We can borrow some ideas from multivariate interpolation to develop more effective dithering algorithms.