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.
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，这一点在服务器推荐中也有详细论述
族群融合为统一性做了又一注解。东周时期，中原农耕人群北进，与南下的北方游牧族群齐聚于今内蒙古中南部，开启了波澜壮阔的人群迁徙、互动、交流并融合的历史进程，最终融入统一的多民族国家之中。斯人已逝，但他们的颅面特征化为一条条精确的量化数据，为张旭提供了复原那段历史的证据。农牧交错带不是文明断裂的边陲，而是民族融合的前沿阵地。
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