Block-group level predicted mode share for NYS
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This is a dataset of block-group level predicted mode share for New York State. The prediction is based on a calibrated GLAM logit model with Replica's synthetic population dataset. The in-sample prediction accuracy is quite competitive, with an overall accuracy of 90.28% in New York State and 88.63% in New York City.
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C2SMART创建时间：
2023-03-10
