The University of Southampton
University of Southampton Institutional Repository

peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.1.0

peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.1.0
peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.1.0
peanutButter is an R package that allows you to produce gridded population estimates from building footprints using the "peanut butter" method of spreading people evenly among buildings based on a set of simple parameters. This package allows you to: 1) produce gridded population estimates using a bottom-up approach that applies your estimates of average people per building for urban and rural areas to each building in the corresponding settlement type, 2) produce gridded population estimates using a top-down approach that dissaggregates your population totals for administrative units evenly among buildings such that the population total per administrative unit matches those defined by the user, 3) produce gridded population estimates for specific demographic groups (i.e. age and sex), and 4) run the peanutButter Shiny application locally from the R console for a graphical user interface.
Human population, Sub-national, Spatial dataset, R package, Software
University of Southampton
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Dooley, Claire
8caf4d90-5b57-4f92-a6e6-ff2399114af1
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8
Leasure, Douglas
c025de11-3c61-45b0-9b19-68d1d37959cd
Dooley, Claire
8caf4d90-5b57-4f92-a6e6-ff2399114af1
Bondarenko, Maksym
1cbea387-2a42-4061-9713-bbfdf4d11226
Tatem, Andrew
6c6de104-a5f9-46e0-bb93-a1a7c980513e
WorldPop,
e0dc4f20-2c0d-494b-8adf-11cb57608ab8

Leasure, Douglas, Dooley, Claire, Bondarenko, Maksym, Tatem, Andrew and WorldPop, (2020) peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.1.0. University of Southampton doi:10.5258/SOTON/WP00667 [Dataset]

Record type: Dataset

Abstract

peanutButter is an R package that allows you to produce gridded population estimates from building footprints using the "peanut butter" method of spreading people evenly among buildings based on a set of simple parameters. This package allows you to: 1) produce gridded population estimates using a bottom-up approach that applies your estimates of average people per building for urban and rural areas to each building in the corresponding settlement type, 2) produce gridded population estimates using a top-down approach that dissaggregates your population totals for administrative units evenly among buildings such that the population total per administrative unit matches those defined by the user, 3) produce gridded population estimates for specific demographic groups (i.e. age and sex), and 4) run the peanutButter Shiny application locally from the R console for a graphical user interface.

Full text not available from this repository.

More information

Published date: 25 May 2020
Keywords: Human population, Sub-national, Spatial dataset, R package, Software

Identifiers

Local EPrints ID: 441002
URI: http://eprints.soton.ac.uk/id/eprint/441002
PURE UUID: ee637535-9ea9-46a5-ba76-781e3e71b043
ORCID for Andrew Tatem: ORCID iD orcid.org/0000-0002-7270-941X

Catalogue record

Date deposited: 27 May 2020 16:53
Last modified: 28 May 2020 00:34

Export record

Altmetrics

Contributors

Creator: Douglas Leasure
Creator: Claire Dooley
Creator: Andrew Tatem ORCID iD
Creator: WorldPop

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×