{"id":1225,"date":"2020-10-07T15:33:24","date_gmt":"2020-10-07T13:33:24","guid":{"rendered":"https:\/\/spatialeconomics.comunicazione.website\/europes-population-density-patterns-mapped-in-nature-communications\/"},"modified":"2020-10-07T15:33:24","modified_gmt":"2020-10-07T13:33:24","slug":"europes-population-density-patterns-mapped-in-nature-communications","status":"publish","type":"post","link":"https:\/\/spatialeconomics.nl\/en\/europes-population-density-patterns-mapped-in-nature-communications\/","title":{"rendered":"Europe\u2019s population density patterns mapped in Nature Communications"},"content":{"rendered":"<p><a href=\"https:\/\/www.researchgate.net\/profile\/Filipe_Silva8\" target=\"_blank\" rel=\"noopener noreferrer\">Filipe Batista e Silva<\/a> is a PhD candidate at SPINlab working for the European Union\u2019s Joint Research Centre. Over the past years he worked on uncovering temporal changes in Europe&#8217;s population density patterns using a data fusion approach. He combines official statistics with geospatial data from emerging sources to produce and validate a European Union-wide dataset of population grids taking into account intraday and monthly population variations at 1 km<sup>2<\/sup> resolution. The results reproduce and systematically quantify known insights concerning the spatio-temporal population density structure of large European cities, whose daytime population are estimated to be, on average, 1.9 times higher than night time in city centres.<\/p>\n<p>The data is generated using open data sources and fully freely accessible from <a href=\"https:\/\/data.jrc.ec.europa.eu\/dataset\/be02937c-5a08-4732-a24a-03e0a48bdcda\" target=\"_blank\" rel=\"noopener noreferrer\">JRC\u2019s data repository<\/a> . The<a href=\"https:\/\/www.nature.com\/articles\/s41467-020-18344-5\" target=\"_blank\" rel=\"noopener noreferrer\"> paper<\/a> describing the data fusion approach, its validation and the insights it provides in spatiotemporal variation in population density was published in the prestigious <em>Nature Communications <\/em>journal.<\/p>\n<div id=\"attachment_2887\" style=\"width: 970px\" class=\"wp-caption aligncenter\"><img loading=\"lazy\" decoding=\"async\" aria-describedby=\"caption-attachment-2887\" class=\"wp-image-2887 size-full\" src=\"https:\/\/spatialeconomics.nl\/wp-content\/uploads\/sites\/17\/2020\/10\/kaart-eric.jpg\" alt=\"\" width=\"960\" height=\"594\" \/><p id=\"caption-attachment-2887\" class=\"wp-caption-text\">Absolute differences in population at 1\u2009km2 grid-cell level between day- and nighttime (average of all months) for Paris and surroundings (for a full version with legend, see Batista e Silva et al., 2020; doi: 10.1038\/s41467-020-18344-5).<\/p><\/div>\n<p><em>\u00a0<\/em><\/p>\n<p><a href=\"https:\/\/research.vu.nl\/en\/persons\/eric-koomen\" target=\"_blank\" rel=\"noopener noreferrer\">Eric Koomen<\/a><\/p>\n<p>October 2020<\/p>\n<p>&nbsp;<\/p>\n<p><em>\u00a0<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Filipe Batista e Silva is a PhD candidate at SPINlab working for the European Union\u2019s Joint Research Centre. Over the past years he worked on uncovering temporal changes in Europe&#8217;s population density patterns using a data fusion approach. He combines official statistics with geospatial data from emerging sources to produce and validate a European Union-wide&hellip;<\/p>\n","protected":false},"author":2,"featured_media":1067,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"categories":[19],"tags":[],"class_list":["post-1225","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-uncategorized"],"acf":[],"_links":{"self":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts\/1225","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/comments?post=1225"}],"version-history":[{"count":0,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/posts\/1225\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/media\/1067"}],"wp:attachment":[{"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/media?parent=1225"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/categories?post=1225"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/spatialeconomics.nl\/en\/wp-json\/wp\/v2\/tags?post=1225"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}