A new spatial model for predicting multivariate counts : anticipating pedestrian crashes across neighborhoods and firm births across counties
Transportation research regularly relies on data exhibiting both space and time dimensions. Thanks to the rise of smartphones, Bluetooth, and other devices, geo-referenced data collection enables application of more behaviorally realistic -- but complex -- models that account for spatial autocorrela...
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| Format: | Others |
| Language: | en_US |
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2013
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| Online Access: | http://hdl.handle.net/2152/21382 |