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Name: WorldPop
Type: Organization
Bio: Open Spatial Demographic Data and Research
Twitter: WorldPopProject
Location: University of Southampton
Blog: https://www.worldpop.org
Name: WorldPop
Type: Organization
Bio: Open Spatial Demographic Data and Research
Twitter: WorldPopProject
Location: University of Southampton
Blog: https://www.worldpop.org
R scripts demonstrating alternative modelling approaches to bottom-up population modelling that are independent of settlement data (building count) whilst accounting for potential overdispersion within the observed population data.
R-Script to Assign an GHSL-SMOD Urban Classification to L2 Admin Units
Implement a top-down disagregation using bartMachine R package
Basic Epidemic, Activity, and Response COVID-19 model
This repo contains the code related to the BFA_population_v1_0_gridded estimates. See https://wopr.worldpop.org/ for more information
Bottom-up population model tutorial
Bottom-up population model tutorial funded by UNFPA, WorldPop and Leverhulme Center for Demographic Sciemce
Simple web application to show the impact evaluation of CIFF-funded programmes
Subnational mapping of children and maternal health
R scripts used for DRC population modelling simulation study at area unit level.
R codes for INLA-SPDE bottom-up population modelling (Cameroon Application)
An R package for processing building footprints
grid3Covariates is an R Package interface for downloading raster datasets from WorldPop FTP
A repository containing the R scripts used for the analyses in the research "Subnational reproductive, maternal, newborn, child and adolescent health and development atlas for India"
Spatio-temporal immunisation coverage modelling
Piloting the collection of geographic information from Longitudinal Population Studies (LPS) for future climate-health research
This script update NGA population using building footprint v2
An R package and shiny application to produce gridded population estimates from building footprints using the "peanut butter" method.
R scripts for Papua New Guniea's population estimation models. There are three main R scripts contained in the folder - covariates selection, model fitting and model cross-validation.
Random Forest-informed Population Disaggregation R package
This repo contains some python-based tools for processing geospatial data
Session at the Summer Institute for Computation Social Science - Calabar university
Intervention at the Summer Institute for Computation Social Science
Tutorials for Brazil workshop on top-down modelling
R scripts used for developing a Bayesian Hierarchical Bottom-Up Population Modelling which adjusted for biases in satellite-based settlement data first before the prediction of population counts - a case study of Papua New Guinea
Script that downloads ppp from WP FTP and calculates UN adjusted population using user-defined input value.
A repository containing the R scripts used for the analyses in the research "A zero-dose vulnerability index for equity assessment and spatial prioritization in low and middle-income countries"
An R package and Shiny application to provide API access to the WorldPop Open Population Repository (WOPR)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.