1,721,100 research outputs found
Americas Datasets
No full textPeer-reviewed raster-based population distribution datasets having a resolution of 3 arc seconds (approximately 100m at the equator) and created using a Random Forest-based dasymetric mapping approach (Stevens et al., 2015; see Other References in the Metadata) to disaggregate official population count data for 28 countries located in Latin America and the Caribbean – FILENAME CONVENTION:
ISO_ppp/pph_v2b_YEAR_UNadj.tif = Country (identified by its unique ISO code) population per pixel (ppp)/per hectare (pph) dataset referring to a specific year (YEAR) adjusted to match United Nations national estimates (UNadj) and produced using the version 2b (v2b) of the WorldPop-RF code available at: http://dx.doi.org/10.6084/m9.figshare.1491490 (Stevens et al., 2015; see Related Material in the Metadata)
Global Input Data
No full textGlobal Spatio-temporally Harmonised Datasets for Producing High-resolution Gridded Population Distribution Datasets</span
Monthly Time Series of Global Public and School Holidays 2010-2019
No full textWe produced monthly time series of public and school holidays for countries or territories across the world from 2010 to 2019, based on the datasets of public holidays in 2010-2019 and school holidays in 2009-2019 that we collated. We include half- and full-day official public/bank/federal/national holidays, special holidays and replaced working days at weekend announced in each country or territory, but local holidays and observance were excluded. We also include school holidays of long breaks between academic years or school terms for primary/secondary schools in each country. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
Daily Time Series of Global Public and School Holidays 2010-2019
No full textWe produced daily time series of public and school holidays for countries or territories across the world from 2010 to 2019, based on the datasets of public holidays in 2010-2019 and school holidays in 2009-2019 that we collated. We include half- and full-day official public/bank/federal/national holidays, special holidays and replaced working days at weekend announced in each country or territory, but local holidays and observance were excluded. We also include school holidays of long breaks between academic years or school terms for primary/secondary schools in each country. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
Global School Holidays Data 2010-2019
No full textWe systematically collated school holidays with long breaks (> 16 days) between academic years or school terms for primary/secondary schools in each country. Due to the data availability and similar timings of school terms across years, we used data collated in 2019 to generate the school holidays in 2009-2018. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
Weekly Time Series of Global Public and School Holidays 2010-2019
No full textWe produced weekly time series of public and school holidays for countries or territories across the world from 2010 to 2019, based on the datasets of public holidays in 2010-2019 and school holidays in 2009-2019 that we collated. We include half- and full-day official public/bank/federal/national holidays, special holidays and replaced working days at weekend announced in each country or territory, but local holidays and observance were excluded. We also include school holidays of long breaks between academic years or school terms for primary/secondary schools in each country. The week numbers for each year were calculated by using the ISO week date standard (ISO-8601). The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
Monthly Volume of Airline Passengers in 90 countries 2010-2018
No full textWe systematically collated the number of passengers travelling by air in 2010-2018 for 90 countries or territories, obtained from national statistic offices, ministries of transportation, reports published by airports, and other open data sources. We also ranked the monthly volume of air travellers for understanding the seasonal travel patterns for each year and county. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
High resolution global gridded data for use in population studies
No full textRecent years have seen substantial growth in openly available satellite and other geospatial data layers, which represent a range of metrics relevant to global human population mapping at fine spatial scales. The specifications of such data differ widely and therefore the harmonisation of data layers is a prerequisite to constructing detailed and contemporary spatial datasets which accurately describe population distributions. Such datasets are vital to measure impacts of population growth, monitor change, and plan interventions. To this end the WorldPop Project has produced an open access archive of 3 and 30 arc-second resolution gridded data. Four tiled raster datasets form the basis of the archive: (i) Viewfinder Panoramas topography clipped to Global ADMinistrative area (GADM) coastlines; (ii) a matching ISO 3166 country identification grid; (iii) country area; (iv) and slope layer. Further layers include transport networks, landcover, nightlights, precipitation, travel time to major cities, and waterways. Datasets and production methodology are here described. The archive can be downloaded both from the WorldPop Dataverse Repository and the WorldPop Project websit
Global Public and School Holidays 2010-2019
No full textWe systematically collated the data of public holidays in 2010-2019 by country across the world. The public holidays in this dataset include half- and full-day official public/bank/federal/national holidays, special holidays, and replaced working days at weekend announced in each country or territory. The dataset is available to download in csv format. The methodology can be found in: Lai, S., Sorichetta, A., Steele, J. et al. Global holiday datasets for understanding seasonal human mobility and population dynamics. Sci Data 9, 17 (2022). https://doi.org/10.1038/s41597-022-01120-z</span
Estimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.
No full textEstimates of total number of people per grid square, adjusted to match the corresponding UNPD 2020 estimates and broken down by gender and age groupings, produced using Ecopia.AI and Maxar Technologies building footprints.</span
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