Models using direct coordinate features (raw lat/lon or their sinusoidal transforms) exhibit higher bias, although none show practically significant systematic over- or under-estimation.
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Performance and generalizability impacts of incorporating location encoders into deep learning for dynamic PM<sub>2.5</sub> estimation.
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