@inproceedings{freireDevelopmentNewOpen2016,
  title = {Development of New Open and Free Multi-Temporal Global Population Grids at 250 m Resolution},
  booktitle = {Proceedings of the 19th {{AGILE International Conference}} on {{Geographic Information Science}}},
  author = {Freire, Sergio and MacManus, Kytt and Pesaresi, Martino and {Doxsey-Whitfield}, Erin and Mills, Jane},
  year = {2016},
  abstract = {Global population grids are increasingly required and used for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. [] This paper presents the development of improved global multi-temporal population grids, by combining best-available population estimates for 1975, 1990, 2000 and 2014, with best-available assessment of the spatial extents of human settlements as inferred from Landsat satellite data for same periods. Using a dasymetric mapping approach, population is disaggregated from finest census or administrative units to built-up areas. These 250-m grids represent population changes in time, having also higher spatial resolution than those previously available. [] The novel population grids constitute currently the de facto state-of-the-art in terms of open global geospatial population data, potentially enabling advances in many of the fields where this information is relevant.},
  isbn = {978-3-319-33782-1},
  keywords = {*imported-from-citeulike-INRMM,~INRMM-MiD:c-14601646,global-scale,gridded-data,open-data,population,remote-sensing,time-series,urban-areas},
  lccn = {INRMM-MiD:c-14601646}
}

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However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. [] This paper presents the development of improved global multi-temporal population grids, by combining best-available population estimates for 1975, 1990, 2000 and 2014, with best-available assessment of the spatial extents of human settlements as inferred from Landsat satellite data for same periods. Using a dasymetric mapping approach, population is disaggregated from finest census or administrative units to built-up areas. These 250-m grids represent population changes in time, having also higher spatial resolution than those previously available. [] The novel population grids constitute currently the de facto state-of-the-art in terms of open global geospatial population data, potentially enabling advances in many of the fields where this information is relevant.","isbn":"978-3-319-33782-1","keywords":"*imported-from-citeulike-INRMM,~INRMM-MiD:c-14601646,global-scale,gridded-data,open-data,population,remote-sensing,time-series,urban-areas","lccn":"INRMM-MiD:c-14601646","bibtex":"@inproceedings{freireDevelopmentNewOpen2016,\n title = {Development of New Open and Free Multi-Temporal Global Population Grids at 250 m Resolution},\n booktitle = {Proceedings of the 19th {{AGILE International Conference}} on {{Geographic Information Science}}},\n author = {Freire, Sergio and MacManus, Kytt and Pesaresi, Martino and {Doxsey-Whitfield}, Erin and Mills, Jane},\n year = {2016},\n abstract = {Global population grids are increasingly required and used for countless applications in analysis, modeling, and policy-making. However, better and comparable global information requires improved geospatial data on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. [] This paper presents the development of improved global multi-temporal population grids, by combining best-available population estimates for 1975, 1990, 2000 and 2014, with best-available assessment of the spatial extents of human settlements as inferred from Landsat satellite data for same periods. Using a dasymetric mapping approach, population is disaggregated from finest census or administrative units to built-up areas. These 250-m grids represent population changes in time, having also higher spatial resolution than those previously available. 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