On the public citation graph

How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia

0 signed · 112 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/joc.5086openalex-snapshot
WorldClim 2: new 1‐km spatial resolution climate surfaces for global land areas
inferredcites →https://doi.org/10.1007/bf00138799openalex-snapshot
A survey of census bureau population projection methods
inferredcites →https://doi.org/10.1007/s10260-011-0163-2openalex-snapshot
Simulation of close-to-reality population data for household surveys with application to EU-SILC
inferredcites →https://doi.org/10.1007/s11111-020-00360-8openalex-snapshot
A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2019.01.006openalex-snapshot
Assessing the spatial sensitivity of a random forest model: Application in gridded population modeling
inferredcites →https://doi.org/10.1016/j.compenvurbsys.2019.101444openalex-snapshot
Annually modelling built-settlements between remotely-sensed observations using relative changes in subnational populations and lights at night
inferredcites →https://doi.org/10.1016/j.rse.2010.03.003openalex-snapshot
Mapping global urban areas using MODIS 500-m data: New methods and datasets based on ‘urban ecoregions’
inferredcites →https://doi.org/10.1016/j.vaccine.2020.02.070openalex-snapshot
Geospatial variation in measles vaccine coverage through routine and campaign strategies in Nigeria: Analysis of recent household surveys
inferredcites →https://doi.org/10.1016/j.worlddev.2012.12.017openalex-snapshot
Missing Millions and Measuring Development Progress
inferredcites →https://doi.org/10.1016/j.worlddev.2016.12.017openalex-snapshot
Improving Population and Poverty Estimates with Citizen Surveys: Evidence from East Africa
inferredcites →https://doi.org/10.1016/j.worlddev.2017.10.022openalex-snapshot
Are we underestimating urban poverty?
inferredcites →https://doi.org/10.1016/s0140-6736(16)31650-6openalex-snapshot
The history, geography, and sociology of slums and the health problems of people who live in slums
inferredcites →https://doi.org/10.1023/a:1010933404324openalex-snapshot
Random Forests
inferredcites →https://doi.org/10.1038/nature25181openalex-snapshot
A global map of travel time to cities to assess inequalities in accessibility in 2015
inferredcites →https://doi.org/10.1057/9780230271357_40openalex-snapshot
International Organization for Migration (IOM)
inferredcites →https://doi.org/10.1057/dev.2015.28openalex-snapshot
Guest Editorial: Uncounted: Power, inequalities and the post-2015 data revolution
inferredcites →https://doi.org/10.1057/s41599-019-0242-9openalex-snapshot
Exploring the use of mobile phone data for national migration statistics
inferredcites →https://doi.org/10.1073/pnas.1913050117openalex-snapshot
National population mapping from sparse survey data: A hierarchical Bayesian modeling framework to account for uncertainty
inferredcites →https://doi.org/10.1080/00031305.1999.10474483openalex-snapshot
The Nigerian Census: Problems and Prospects
inferredcites →https://doi.org/10.1080/00324728.2015.1065342openalex-snapshot
Tracking rural-to-urban migration in China: Lessons from the 2005 inter-census population survey
inferredcites →https://doi.org/10.1080/20964471.2019.1625151openalex-snapshot
Global spatio-temporally harmonised datasets for producing high-resolution gridded population distribution datasets
inferredcites →https://doi.org/10.1080/23754931.2015.1014272openalex-snapshot
Taking Advantage of the Improved Availability of Census Data: A First Look at the Gridded Population of the World, Version 4
inferredcites →https://doi.org/10.1086/222356openalex-snapshot
Durkheim's Suicide and Problems of Empirical Research
inferredcites →https://doi.org/10.1093/jrs/fem048openalex-snapshot
Afghan Refugees in Pakistan: Not All Refugees, Not Always in Pakistan, Not Necessarily Afghan?
inferredcites →https://doi.org/10.1093/oxfordjournals.afraf.a098090openalex-snapshot
DELIBERATE FALSIFICATION AND CENSUS DATA IN NIGERIA
inferredcites →https://doi.org/10.1109/autest.2006.283598openalex-snapshot
Down Converter Characterization in a Synthetic Instrument Context
inferredcites →https://doi.org/10.1109/tgrs.2016.2572724openalex-snapshot
A Robust Method to Generate a Consistent Time Series From DMSP/OLS Nighttime Light Data
inferredcites →https://doi.org/10.1111/j.1365-3156.2005.01487.xopenalex-snapshot
The accuracy of human population maps for public health application
inferredcites →https://doi.org/10.1136/adc.2002.023481openalex-snapshot
Capture-recapture to estimate the number of street children in a city in Brazil
inferredcites →https://doi.org/10.1177/0956247809362642openalex-snapshot
An enumeration and mapping of informal settlements in Kisumu, Kenya, implemented by their inhabitants
inferredcites →https://doi.org/10.1177/0956247810379823openalex-snapshot
How poverty is underestimated in Greater Cairo, Egypt
inferredcites →https://doi.org/10.1177/0956247811398589openalex-snapshot
The state of urban health in India; comparing the poorest quartile to the rest of the urban population in selected states and cities
inferredcites →https://doi.org/10.1177/0956247813490908openalex-snapshot
Urbanization and economic growth: the arguments and evidence for Africa and Asia
inferredcites →https://doi.org/10.1186/s12874-017-0293-9openalex-snapshot
Estimating the size of the homeless adolescent population across seven cities in Cambodia
inferredcites →https://doi.org/10.1186/s12916-020-01843-zopenalex-snapshot
Vaccination strategies for measles control and elimination: time to strengthen local initiatives
inferredcites →https://doi.org/10.1186/s12942-020-00230-4openalex-snapshot
Gridded population survey sampling: a systematic scoping review of the field and strategic research agenda
inferredcites →https://doi.org/10.1201/9781482264678-24openalex-snapshot
LandScan: a global population database for estimating populations at risk
inferredcites →https://doi.org/10.12854/erde-144-8openalex-snapshot
Slums: perspectives on the definition, the appraisal and the management of an urban phenomenon
inferredcites →https://doi.org/10.1353/eas.2017.0001openalex-snapshot
The Accuracy of Demographic Data in the Ethiopian Censuses
inferredcites →https://doi.org/10.1371/journal.pone.0055882openalex-snapshot
High Resolution Population Distribution Maps for Southeast Asia in 2010 and 2015
inferredcites →https://doi.org/10.1371/journal.pone.0103799openalex-snapshot
The Global Pattern of Urbanization and Economic Growth: Evidence from the Last Three Decades
inferredcites →https://doi.org/10.1371/journal.pone.0107042openalex-snapshot
Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data
inferredcites →https://doi.org/10.1371/journal.pone.0162006openalex-snapshot
Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries
inferredcites →https://doi.org/10.1371/journal.pone.0204399openalex-snapshot
Predicting residential structures from open source remotely enumerated data using machine learning
inferredcites →https://doi.org/10.1371/journal.pone.0271504openalex-snapshot
How accurate are WorldPop-Global-Unconstrained gridded population data at the cell-level?: A simulation analysis in urban Namibia
inferredcites →https://doi.org/10.18356/27bc31a5-enopenalex-snapshot
World Cities Report 2020
inferredcites →https://doi.org/10.2307/2346830openalex-snapshot
Algorithm AS 136: A K-Means Clustering Algorithm
inferredcites →https://doi.org/10.2747/1548-1603.42.2.113openalex-snapshot
The Effect of Spatial Resolution of Remotely Sensed Data in Dasymetric Mapping of Residential Areas
inferredcites →https://doi.org/10.2788/656115openalex-snapshot
Operating procedure for the production of the Global Human Settlement Layer from Landsat data of the epochs 1975, 1990, 2000, and 2014
inferredcites →https://doi.org/10.3390/data3030030openalex-snapshot
Linking Synthetic Populations to Household Geolocations: A Demonstration in Namibia
inferredcites →https://doi.org/10.3390/ijgi10100681openalex-snapshot
Which Gridded Population Data Product Is Better? Evidences from Mainland Southeast Asia (MSEA)
inferredcites →https://doi.org/10.3390/rs12233847openalex-snapshot
Using GIS and Machine Learning to Classify Residential Status of Urban Buildings in Low and Middle Income Settings
inferredcites →https://doi.org/10.3390/su13137329openalex-snapshot
Implications for Tracking SDG Indicator Metrics with Gridded Population Data
inferredcites →https://doi.org/10.3390/urbansci2010008openalex-snapshot
A Critical Review of High and Very High-Resolution Remote Sensing Approaches for Detecting and Mapping Slums: Trends, Challenges and Emerging Opportunities
inferredcites →https://doi.org/10.3390/urbansci5020048openalex-snapshot
Evaluating the Accuracy of Gridded Population Estimates in Slums: A Case Study in Nigeria and Kenya
inferredcites →https://doi.org/10.5194/essd-11-1385-2019openalex-snapshot
The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use
inferredcites →https://doi.org/10.5258/soton/wp00665openalex-snapshot
wpgpRFPMS: WorldPop Random Forests population modelling R scripts , version 0.1.0
inferredcites →https://doi.org/10.5258/soton/wp00666openalex-snapshot
Gridded maps of building patterns throughout sub-Saharan Africa, version 1.0
inferredcites →https://doi.org/10.5258/soton/wp00667openalex-snapshot
peanutButter: An R package to produce rapid-response gridded population estimates from building footprints, version 0.1.0
inferredcites →https://doi.org/10.5334/dsj-2018-020openalex-snapshot
Using Classified and Unclassified Land Cover Data to Estimate the Footprint of Human Settlement
inferredcites →https://doi.org/10.5539/ass.v11n13p200openalex-snapshot
Data Uncertainties in China’s Population
inferredcites →https://doi.org/10.7927/h4f47m65openalex-snapshot
Gridded Population of the World, Version 4 (GPWv4): Population Density Adjusted to Match 2015 Revision UN WPP Country Totals, Revision 11

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4814973openalex-extracted
Evidence-Based Decision-Making for Malaria Elimination: Applying the Freedom from Infection Statistical Framework in Five Malaria Eliminating Countries
inferred← citeshttps://doi.org/10.1016/j.apgeog.2022.102844openalex-snapshot
UrbanPop: A spatial microsimulation framework for exploring demographic influences on human dynamics
inferred← citeshttps://doi.org/10.1016/j.apgeog.2025.103708openalex-snapshot
High-resolution population density mapping in urban areas using a contextualized geographically weighted neural network (CGWNN) model
inferred← citeshttps://doi.org/10.1016/j.atmosenv.2026.121944openalex-snapshot
Hybrid air quality monitoring for robust exposure assessment in resource-constrained environments
inferred← citeshttps://doi.org/10.1016/j.cities.2024.105694openalex-snapshot
The urban spatial change hypothesis revisited: A case study of Shanghai
inferred← citeshttps://doi.org/10.1016/j.ecolind.2024.112945openalex-snapshot
Evolution, reconfiguration and low-carbon performance of green space pattern under diverse urban development scenarios: A machine learning-based simulation approach
inferred← citeshttps://doi.org/10.1016/j.envdev.2025.101238openalex-snapshot
High-resolution mapping of NO2 population exposure in China from satellite observations
inferred← citeshttps://doi.org/10.1016/j.geomat.2026.100101openalex-snapshot
Coastal population and settlement trends in the U.S. 1990–2020: Where and why data choice matters for exposure assessment in coastal resilience studies
inferred← citeshttps://doi.org/10.1016/j.habitatint.2024.103056openalex-snapshot
The unseen population: Do we underestimate slum dwellers in cities of the Global South?
inferred← citeshttps://doi.org/10.1016/j.habitatint.2025.103329openalex-snapshot
Comparing the spatial structure of cities in East Africa, Europe and North America
inferred← citeshttps://doi.org/10.1016/j.habitatint.2025.103403openalex-snapshot
Large-scale slum mapping in sub-Saharan Africa's major cities: Remote sensing and deep learning reveal strong slum growth in the urban periphery between 2016 and 2022
inferred← citeshttps://doi.org/10.1016/j.landusepol.2022.106392openalex-snapshot
Improving the accuracy of gridded population estimates in cities and slums to monitor SDG 11: Evidence from a simulation study in Namibia
inferred← citeshttps://doi.org/10.1016/j.landusepol.2024.107246openalex-snapshot
Exploring land use dynamics in rural areas. An analysis of eight cases in the Global North
inferred← citeshttps://doi.org/10.1016/j.rsase.2026.102030openalex-snapshot
Exploring the impact of vertical population migration on vegetation restoration in the mountain areas of Southwest China: A case analysis from Xide County
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114573openalex-snapshot
Integrating remote sensing with OpenStreetMap data for comprehensive scene understanding through multi-modal self-supervised learning
inferred← citeshttps://doi.org/10.1016/j.ufug.2025.128781openalex-snapshot
Network-based assessment of urban forest and green space accessibility in six major cities: London, New York, Paris, Tokyo, Seoul, and Beijing
inferred← citeshttps://doi.org/10.1016/s2214-109x(25)00236-0openalex-snapshot
Evidence-based decision making for malaria elimination applying the Freedom From Infection statistical framework in five malaria eliminating countries: an observational study
inferred← citeshttps://doi.org/10.1038/s41467-026-71860-8openalex-snapshot
Social implications of the 30×30 global conservation target
inferred← citeshttps://doi.org/10.1038/s41597-023-01961-2openalex-snapshot
A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India
inferred← citeshttps://doi.org/10.1038/s41598-024-71330-5openalex-snapshot
Global population datasets overestimate flood exposure in Sweden
inferred← citeshttps://doi.org/10.1038/s43247-025-02270-9openalex-snapshot
Tracking air pollution and CO2 emissions in 13,189 urban areas worldwide using large geospatial datasets
inferred← citeshttps://doi.org/10.1038/s43856-023-00372-zopenalex-snapshot
A geospatial analysis of accessibility and availability to implement the primary healthcare roadmap in Ethiopia
inferred← citeshttps://doi.org/10.1080/17457300.2023.2204503openalex-snapshot
Built environment influence on the incidence of elderly pedestrian collisions in a medium-large city in southern Brazil: a spatial analysis
inferred← citeshttps://doi.org/10.1080/17538947.2026.2738267openalex-snapshot
Intercensal building‑based population estimation
inferred← citeshttps://doi.org/10.1088/1748-9326/ae5fb1openalex-snapshot
Synthesizing land use and demographic change in Southeast Asia’s smaller urbanized areas from 2000–2015
inferred← citeshttps://doi.org/10.1093/9780197851487.003.0621openalex-snapshot
Assessing Population Exposure to Storm Surge Flooding at Broad Scales
inferred← citeshttps://doi.org/10.1097/qai.0000000000003324openalex-snapshot
Improved Indicators for Subnational Unmet Antiretroviral Therapy Need in the Health System: Updates to the Naomi Model in 2023
inferred← citeshttps://doi.org/10.1101/2024.09.23.614649openalex-snapshot
Invisible people: Exploring how well remote-sensed datasets reveal the distribution of forest-proximate populations
inferred← citeshttps://doi.org/10.1109/jstars.2024.3434480openalex-snapshot
The Spatiotemporal Dynamics of Morphological Slums in Mumbai, India
inferred← citeshttps://doi.org/10.1109/jstars.2026.3725857openalex-snapshot
Raw Materials for the World: The Linkage of Ore and Mineral Mining Activities and Fast-Pace Settlement Development in the Democratic Republic of the Congo
inferred← citeshttps://doi.org/10.1111/gean.12398openalex-snapshot
Development of a Variable Multimodal Balanced Floating Catchment Area Approach for Spatial Accessibility Assessment
inferred← citeshttps://doi.org/10.1111/padr.70025openalex-snapshot
How Well Do Gridded Population Estimates Proxy for Actual Population Changes? Evidence From China
inferred← citeshttps://doi.org/10.1111/tgis.13020openalex-snapshot
From auxiliary data to research prospects, a review of gridded population mapping
inferred← citeshttps://doi.org/10.1186/s12942-026-00483-5openalex-snapshot
A longitudinal multi‑proxy geospatial classification of peri‑urban transitions across community health units in coastal Kenya
inferred← citeshttps://doi.org/10.1553/giscience2022_01_s98openalex-snapshot
Enhanced Surface Water Mapping: An Integrated Solution for the Humanitarian Sector
inferred← citeshttps://doi.org/10.20944/preprints202107.0510.v1openalex-snapshot
Improving the Accuracy of Gridded Population Estimates in Cities and Slums to Monitor SDG 11: Evidence from a Simulation Study in Namibia
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10461082/v1openalex-snapshot
Geospatial approaches to sampling frame development for household surveys: A systematic review of methods, limitations and future directions
inferred← citeshttps://doi.org/10.2139/ssrn.4098362openalex-snapshot
The Unseen Population: Underestimation of Slum Dwellers in Cities of the Global South
inferred← citeshttps://doi.org/10.2139/ssrn.6967755openalex-snapshot
Reading the City Through Digital Marketplaces:,Platform Urbanism and Socio-Spatial Differentiation of Tehran
inferred← citeshttps://doi.org/10.3389/frsen.2025.1625373openalex-snapshot
The role of data selection in mapping urban green and open spaces: a comparison across high and very-high resolution satellite imagery sources in two African cities
inferred← citeshttps://doi.org/10.3390/ijgi13020033openalex-snapshot
Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case
inferred← citeshttps://doi.org/10.3390/ijgi14070262openalex-snapshot
Exploring the Impact of Multi-Source Gridded Population Datasets on Flood-Exposed Population Estimates in Gangnam, Seoul
inferred← citeshttps://doi.org/10.3390/land13122240openalex-snapshot
Accessibility and Equity of Park Green Spaces: Considering Differences in Walking Speeds Across Age Groups
inferred← citeshttps://doi.org/10.3390/land14030477openalex-snapshot
To Play or Not to Play: Mapping Unequal Provision of Children’s Playgrounds
inferred← citeshttps://doi.org/10.3390/land15091675openalex-snapshot
Multiscale Ecosystem Services Supply–Demand Assessment in Ghana Using Improved Population Representation
inferred← citeshttps://doi.org/10.3390/smartcities8040110openalex-snapshot
A Study on Imbalances in Urban Internal Spatial Capacity Allocation Based on High-Precision Population and Land Value Distribution Data
inferred← citeshttps://doi.org/10.3390/urbansci5020048openalex-snapshot
Evaluating the Accuracy of Gridded Population Estimates in Slums: A Case Study in Nigeria and Kenya
inferred← citeshttps://doi.org/10.46830/writn.22.00123openalex-snapshot
Calculating Indicators From Global Geospatial Data Sets for Benchmarking and Tracking Change in the Urban Environment
inferred← citeshttps://doi.org/10.46830/writn.22.00123v2openalex-snapshot
Calculating Indicators From Global Geospatial Data Sets for Benchmarking and Tracking Change in the Urban Environment
showing the first 49 of 50 · page through all 50
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.