TY  - JOUR
A1  - Sanchez-Cespedes, Lina Maria
A1  - Leasure, Douglas Ryan
A1  - Tejedor-Garavito, Natalia
A1  - Amaya Cruz, Glenn Harry
A1  - Garcia Velez, Gustavo Adolfo
A1  - Mendoza Beltrán, Andryu Enrique
A1  - Marín-Salazar, Yenny Andrea
A1  - Esch, Thomas
A1  - Tatem, Andrew J.
A1  - Ospina Bohórquez, Mariana Francisca
T1  - Social cartography and satellite-derived building coverage for post-census population estimates in difficult-to-access regions of Colombia
JF  - Population studies : a Journal of Demography
N2  - Effective government services rely on accurate population numbers to allocate resources. In Colombia and globally, census enumeration is challenging in remote regions and where armed conflict is occurring. During census preparations, the Colombian National Administrative Department of Statistics conducted social cartography workshops, where community representatives estimated numbers of dwellings and people throughout their regions. We repurposed this information, combining it with remotely sensed buildings data and other geospatial data. To estimate building counts and population sizes, we developed hierarchical Bayesian models, trained using nearby full-coverage census enumerations and assessed using 10-fold cross-validation. We compared models to assess the relative contributions of community knowledge, remotely sensed buildings, and their combination to model fit. The Community model was unbiased but imprecise; the Satellite model was more precise but biased; and the Combination model was best for overall accuracy. Results reaffirmed the power of remotely sensed buildings data for population estimation and highlighted the value of incorporating local knowledge.
KW  - modelled population estimates
KW  - population and housing census
KW  - GIS
KW  - remote sensing
KW  - Bayesian statistics
Y1  - 2023
U6  - https://doi.org/10.1080/00324728.2023.2190151
SN  - 1477-4747
VL  - 78
IS  - 1
SP  - 3
EP  - 20
PB  - Taylor & Francis
CY  - London
ER  -