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Publications

Publisher Correction: Offshoring emissions through used vehicle exports

Newman SJ. et al, (2024), Nature Climate Change

War and mobility: Using Yandex web searches to characterize intentions to leave Russia after its invasion of Ukraine

Anastasiadou A. et al, (2024), Demographic Research, 50, 205 - 220

Nowcasting Daily Population Displacement in Ukraine through Social Media Advertising Data

Leasure DR. et al, (2023), Population and Development Review, 49, 231 - 254

War and Migration: Quantifying the Russian exodus through Yandex search trends

Anastasiadou A. et al, (2023)

Digital and computational demography

KASHYAP R. et al, (2023), Research Handbook on Digital Sociology

Social cartography and satellite-derived building coverage for post-census population estimates in difficult-to-access regions of Colombia.

Sanchez-Cespedes LM. et al, (2023), Popul Stud (Camb), 1 - 18

“UPDATE: I’m pregnant!”: Inferring Global Use of Fertility Tracking Apps

Rampazzo F. et al, (2022)

Population genomic monitoring provides insight into conservation status but no correlation with demographic estimates of extinction risk in a threatened trout.

Hemstrom W. et al, (2022), Evol Appl, 15, 1449 - 1468

Social cartography and satellite-derived building coverage for post-census population estimates in difficult-to-access regions of Colombia

Sanchez-Cespedes LM. et al, (2022)

Nowcasting daily population displacement in Ukraine through social media advertising data

Leasure DR. et al, (2022)

Digital and Computational Demography

Kashyap R. et al, (2022)

How Accurate are WorldPop-Global-Unconstrained Gridded Population Data at the Cell-Level?: A Simulation Analysis in Urban Namibia

Thomson DR. et al, (2022)

High-resolution population estimation using household survey data and building footprints.

Boo G. et al, (2022), Nat Commun, 13

How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia.

Thomson DR. et al, (2022), PLoS One, 17

A review of geospatial methods for population estimation and their use in constructing reproductive, maternal, newborn, child and adolescent health service indicators.

Nilsen K. et al, (2021), BMC Health Serv Res, 21

Classifying settlement types from multi-scale spatial patterns of building footprints

Jochem WC. et al, (2021), Environment and Planning B: Urban Analytics and City Science, 48, 1161 - 1179

How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia

Thomson DR. et al, (2021)

How Accurate are WorldPop-Global Gridded Population Data at the Cell-Level?: A Simulation Analysis in Urban Namibia

Thomson DR. et al, (2021)

Using GIS and machine learning to classify residential status of urban buildings in low and middle income settings

Lloyd CT. et al, (2020), Remote Sensing, 12, 1 - 20

National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty.

Leasure DR. et al, (2020), Proc Natl Acad Sci U S A, 117, 24173 - 24179

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