Author

Chaitanya Jobanputra

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Preprint Oct 2026

Multi-Scale Spatio-Temporal Exploratory Analysis of Urban Vehicle Theft

Vehicle theft is a persistent urban problem with large economic and social costs. We analyze 521,098 stolen-vehicle reports filed with the Los Angeles Police Department from 2000 to 2022, at scales from hours to decades and from 100 m grid cells to census tracts. Much of the work lies in making the administrative recor...

Chaitanya Jobanputra, G. Mohler, S. Vollmer et al. · 0 citations

#machine learning Preprint Oct 2026

Puffin: Probabilistic Learning of Spatial Detail From Coarse Observations

High-resolution socioeconomic variables are important for applications such as urban planning, public health, disaster response, and resource allocation. In practice, however, these variables are often observed only at a coarse spatial resolution. We introduce Puffin, a probabilistic framework for statistical disaggreg...

Chaitanya Jobanputra, S. Vollmer, Gerrit Großmann · 0 citations