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Enhanced data and methods for improving open and free global population grids:putting‘leaving noonebehind’into practice

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International Journal of Digital Earth 2020年第1期13卷 61-77页

作者： Sergio Freire Marcello Schiavina Aneta J.Florczyk Kytt MacManus Martino Pesaresi Christina Corbane Olena Borkovska Jane Mills linda pistolesi John Squires Richard Sliuzas European Commission Joint Research Centre(JRC)IspraItaly Faculty of Geo-Information Science and Earth Observation(ITC) University of TwenteEnschedeNetherlands Columbia University CIESIN Geoscience PalisadesNYUSA

Data on global population distribution are a strategic resource currently in high demand in an age of new Development Agendas that call for universal inclusiveness of ***,quality,detail,and age of census data varies significantly by country and suffers from shortcomings that propagate to derived population grids and their *** this work,the improved capabilities of recent remote sensing-derived global settlement data to detect and mitigate major discrepancies with census data is *** layers mapping builtup presence were used to revise census units deemed as‘unpopulated’and to harmonize population distribution along *** procedures to detect and mitigate these anomalies,while minimizing changes to census geometry,preserving the regional distribution of population,and the overall counts were developed,tested,and *** two procedures employed for the detection of deficiencies in global census data obtained high rates of true positives,after verification and *** also show that the targeted anomalies were significantly mitigated and are encouraging for further uses of free and open geospatial data derived from remote sensing in complementing and improving conventional sources of fundamental population statistics.

关键词： Population statistics census built-up areas GPW GHSL

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Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets

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Big Earth Data 2019年第2期3卷 108-139页

作者： Christopher T.Lloyd Heather Chamberlain David Kerr Greg Yetman linda pistolesi Forrest R.Stevens Andrea E.Gaughan Jeremiah J.Nieves Graeme Hornby Kytt MacManus Parmanand Sinha Maksym Bondarenko Alessandro Sorichetta Andrew J.Tatem WorldPop School of Geography and Environmental ScienceUniversity of SouthamptonSouthamptonUK Flowminder Foundation StockholmSweden Center for International Earth Science Information Network(CIESIN) Columbia UniversityPalisadesNYUSA Department of Geography and Geosciences University of LouisvilleLouisvilleKYUSA GeoData University of SouthamptonSouthamptonUK

Multi-temporal,globally consistent,high-resolution human population datasets provide consistent and comparable population distributions in support of mapping sub-national heterogeneities in health,wealth,and resource access,and monitoring change in these over *** production of more reliable and spatially detailed population datasets is increasingly necessary due to the importance of improving metrics at sub-national and multitemporal *** is in support of measurement and monitoring of UN Sustainable Development Goals and related *** response to these agendas,a method has been developed to assemble and harmonise a unique,open access,archive of geospatial *** are provided as global,annual time series,where pertinent at the timescale of population analyses and where data is available,for use in the construction of population distribution *** archive includes sub-national census-based population estimates,matched to a geospatial layer denoting administrative unit boundaries,and a number of co-registered gridded geospatial factors that correlate strongly with population presence and ***,we describe these harmonised datasets and their limitations,along with the production ***,we demonstrate applications of the archive by producing multi-temporal gridded population outputs for Africa and using these to derive health and development *** geospatial archive is available at https://***/10.5258/SOTON/WP00650.

关键词： Human population subnational global spatial dataset multi-temporal

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