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Representative population distribution layer for Czechia: from methodology to automated solutions
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DOI：10.1080/17538947.2026.2616577.png)
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Abstract
En 中文
Knowledge of the spatial distribution of the population is essential for planning, policy-making, and socio-economic research. The traditional use of population data, typically based on residence, provides a static and often distorted perspective, as it fails to account for population mobility, which significantly affects spatial and temporal patterns. This study implements a bottom-up aggregation of seven national registers and census-derived indicators to generate representative daytime and nighttime population layers at a 100 m grid for Czechia (demonstrated on the Olomouc Region). The workflow includes preprocessing to remove overlaps between sources, geocoding to address locations, and transforming the resulting population counts into a 100 m grid representation. The procedure is implemented in Python and released as an ArcGIS Pro toolbox. Validation against census data and mobile-network geolocation estimates showed that nighttime population was reproduced with satisfactory accuracy, while daytime deviations increased with settlement size due to employee-range uncertainty, yet remained within acceptable limits (<22% for settlements <50,000 inhabitants). The resulting workflow provides a reproducible, parameterizable method for creating high-resolution gridded population data from national registers and, where available, more detailed custom input sources.
Keywords:
Aggregation
population
distribution
grid
Czechia
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