| P50 | author | Forrest R. Stevens | Q42305848 |
| | Dana R. Thomson | Q59140200 |
| | Andrew J. Tatem | Q29397317 |
| P2093 | author name string | Nick W Ruktanonchai | |
| | Marcia C Castro | |
| P2860 | cites work | Mapping for maternal and newborn health: the distributions of women of childbearing age, pregnancies and births | Q37582347 |
| | Using satellite imagery and GPS technology to create random sampling frames in high risk environments | Q38378985 |
| | Using remote, spatial techniques to select a random household sample in a dispersed, semi-nomadic pastoral community: utility for a longitudinal health and demographic surveillance system. | Q38634541 |
| | Comparison of two survey methodologies to assess vaccination coverage | Q39793043 |
| | Defining approaches to settlement mapping for public health management in Kenya using medium spatial resolution satellite imagery | Q42063511 |
| | Detecting climate adaptation with mobile network data in Bangladesh: anomalies in communication, mobility and consumption patterns during cyclone Mahasen | Q59466115 |
| | Missing Millions and Measuring Development Progress | Q112593836 |
| | Mortality in Iraq associated with the 2003-2011 war and occupation: findings from a national cluster sample survey by the university collaborative Iraq Mortality Study | Q21144597 |
| | Using ArcMap, Google Earth, and Global Positioning Systems to select and locate random households in rural Haiti | Q21245780 |
| | A high resolution spatial population database of Somalia for disease risk mapping | Q21245781 |
| | Monitoring vaccination coverage: Defining the role of surveys | Q26746960 |
| | Addressing Inequities in Urban Health: Do Decision-Makers Have the Data They Need? Report from the Urban Health Data Special Session at International Conference on Urban Health Dhaka 2015 | Q28275531 |
| | High-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020 | Q28608199 |
| | Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data | Q28649810 |
| | Exploring the high-resolution mapping of gender-disaggregated development indicators. | Q30377190 |
| | Mapping poverty using mobile phone and satellite data | Q30378219 |
| | Equality in Maternal and Newborn Health: Modelling Geographic Disparities in Utilisation of Care in Five East African Countries | Q30381829 |
| | Fine resolution mapping of population age-structures for health and development applications | Q30389052 |
| | Dynamic population mapping using mobile phone data | Q30864532 |
| | Health and human rights in Chin State, Western Burma: a population-based assessment using multistaged household cluster sampling | Q31000320 |
| | Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake. | Q31058953 |
| | Mapping the denominator: spatial demography in the measurement of progress | Q34169711 |
| | A two-stage cluster sampling method using gridded population data, a GIS, and Google Earth(TM) imagery in a population-based mortality survey in Iraq | Q34249519 |
| | Sampling at community level by using satellite imagery and geographical analysis | Q34399610 |
| | Choosing a survey sample when data on the population are limited: a method using Global Positioning Systems and aerial and satellite photographs | Q34411308 |
| | Modelling strategic interventions in a population with a total fertility rate of 8.3: a cross-sectional study of Idjwi Island, DRC. | Q34471207 |
| | High resolution population distribution maps for Southeast Asia in 2010 and 2015 | Q34589631 |
| | The effects of spatial population dataset choice on estimates of population at risk of disease | Q34610934 |
| | The accuracy of human population maps for public health application | Q35215086 |
| | Wanted: studies on mortality estimation methods for humanitarian emergencies, suggestions for future research | Q35865220 |
| | Assessing the accuracy of satellite derived global and national urban maps in Kenya | Q35952592 |
| | Open-source satellite enumeration to map households: planning and targeting indoor residual spraying for malaria | Q36070819 |
| | A census-weighted, spatially-stratified household sampling strategy for urban malaria epidemiology | Q36539279 |
| P4510 | describes a project that uses | R package | Q73539779 |
| P433 | issue | 1 | |
| P921 | main subject | R package | Q73539779 |
| P304 | page(s) | 25 | |
| P577 | publication date | 2017-07-19 | |
| P1433 | published in | International Journal of Health Geographics | Q15752546 |
| P1476 | title | GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population data | |
| P478 | volume | 16 | |