Geospatial Analysis of Urban Population Model Discrepancies Through Land Use and the Built Environment - A Case Study of Croatia
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https://doi.org/10.3390/geographies6020043 <-- shared paper
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H/T Olga Bjelotomić Oršulić
“Using official Croatian census data as a reference, [the researchers] analysed three global population datasets across seven Croatian cities to investigate how population allocation differs between built-up and non-built-up areas.
Although the datasets often produced similar population totals, their spatial allocation differed substantially. GHS-POP concentrated over 1 million more inhabitants within built-up areas, while WorldPop allocated approximately 290,000 more inhabitants to non-built-up land-cover classes, demonstrating how similar population totals can mask substantial differences in spatial population patterns.
The question is not only how many people are estimated, but also where the model places them…”
#GIS #spatial #mapping #gridded #population #urban #dataanalysis #shrinkingcities #census #censusvalidation #WorldPop #GHSPOP #GPWv4 #builtupareas #sustainability #SDG #casestudy #Croatia #spatialanalysis #spatiotemporal #SustainableDevelopmentGoals #populationdecline #demographics #urbanplanning #planning #city #cities #PopulationData #RemoteSensing #UrbanAnalytics #OpenData #SDG #model #modeling #urbanisation #density #QGIS #landcover
@MDPI
Have We Vastly Underestimated The Total Number Of People On Earth?
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https://www.newscientist.com/article/2472604-have-we-vastly-underestimated-the-total-number-of-people-on-earth/ <-- shared technical media article
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https://doi.org/10.1038/s41467-025-56906-7 <-- shared paper
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“Our estimates of rural populations have systematically underestimated the actual number of people living in these regions by at least half, researchers have claimed – with potentially huge impacts on global population levels and planning for public services. However, the findings are disputed by demographers, who say any such underestimates are unlikely to alter national or global head counts…”
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#global #spatialanalysis #model #modeling #calibration #gridded #datasets #population #globalpopulation #spatiotemporal #demographics #rural #mapping #estimates #rural #community #census #populationcount
@aaltouniversity
New map of landscape beneath Antarctica unveiled

The most detailed map yet of the landscape beneath Antarctica's ice sheet has been assembled by a team of international scientists led from the British Antarctic Survey (BAS).

Phys.org