Gridded response pdf4/4/2023 Professor Andy Tatem provides oversight of the WorldPop Research Group. Maksym Bondarenko maintains WorldPop's Shiny server. Claire Dooley developed the source rasters of building counts and urban/rural settlements. Development of the peanutButter R package was led by Doug Leasure. Gridded age-sex data were provided by the WorldPop Global High Resolution Population Denominators Project led by Alessandro Sorichetta with funding from the Bill and Melinda Gates Foundation (OPP1134076). Ecopia.AI and Maxar Technologies (2020) provided high resolution building footprints based on recent satellite imagery. Funding was provided by the Bill and Melinda Gates Foundation (INV-002697). The peanutButter R package was developed by the WorldPop Research Group within the Department of Geography and Environmental Science at the University of Southampton. Minor version update on 3 June 2020 to change terminology from "bottom-up" to "aggregate" and from "top-down" to "disaggregate". Patch on 9 July 2020 to include building footprints from additional countries for a total of 51 countries. Modified default values to match population totals for the year 2020 from the United Nations World Population Prospects (2019 medium-variant projections). Minor version update on 14 September 2020 to include advanced controls for filtering out buildings based on their area and to distribute population based on building area or building count. Patch on 30 January 2021 to update the WorldPop logo and to fix a glitch in the source data for Eritrea. Patch on 22 February 2021 to update the building footprints for 21 countries: BDI, BEN, BFA, BWA, CAF, CMR, COG, DJI, ESH, GHA, GIN, GMB, LSO, MWI, NAM, NER, SSD, TCD, TZA, UGA, and ZMB. Testing period ended and progressed to non-beta version 1 release. PeanutButter ::jelly( srcdir = "c:/local_source_directory ") Version Historyġ0 June 2021. Then, run the Shiny application locally using: You can run the application locally from your R console, but you will first need to download the source files from the web application. The peanutButter application is available on the web at. PeanutButter includes an R shiny application that allows you to produce rapid-response gridded population estimates from building footprints. A spreadsheet with age-sex proportions for each region,.There are also two source datasets that provide the proportion of population in each age-sex group for every ~100 m grid cell (WorldPop et al 2018, Pezullo et al 2017, Carioli et al in prep). A classification of each ~100 m grid cell as urban or rural.The count of buildings in each ~100 m grid cell across the country,.There are two data sets describing building patterns ( Dooley and Tatem 2020) that were derived from building footprints (Ecopia.AI and Maxar Technologies 2020): See the vignette for the peanutButter::jelly shiny application using: vignette('jelly', package='peanutButter') Source dataĪll of the source files used by peanutButter can be downloaded country-by-country through the web application at. You can list vignettes that are available using: vignette(package='peanutButter') Note: When updating multiple packages, it may be necessary to restart your R session before each installation to ensure that packages being updated are not currently loaded in your R environment. In R Studio, you can also update all of your R packages by clicking "Tools > Check for Package Updates". Or, you can use devtools::install_github('wpgp/peanutButter', upgrade='ask') to update all of the packages that peanutButter depends on. If needed, you can update individual packages that may be responsible for any peanutButter installation errors using install.packages('package_name'). You can avoid checking for package updates by adding the argument upgrade='never'. This is not required unless the peanutButter installation fails. You may be prompted to update some of your existing R packages.
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