Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data
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Mapping global environmental suitability for Zika virusModel-based projections of Zika virus infections in childbearing women in the AmericasPopulation Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the NetherlandsHigh-resolution gridded population datasets for Latin America and the Caribbean in 2010, 2015, and 2020Assessing the quality of primary care in HaitiPoor Quality for Poor Women? Inequities in the Quality of Antenatal and Delivery Care in Kenya.Dynamic denominators: the impact of seasonally varying population numbers on disease incidence estimates.Spatial analysis and characteristics of pig farming in Thailand.Fine resolution mapping of population age-structures for health and development applicationsHigh resolution global gridded data for use in population studiesDynamic population mapping using mobile phone data.Rapid and Near Real-Time Assessments of Population Displacement Using Mobile Phone Data Following Disasters: The 2015 Nepal Earthquake.Evaluating Hospital-Based Surveillance for Outbreak Detection in Bangladesh: Analysis of Healthcare Utilization DataImproving Large Area Population Mapping Using Geotweet DensitiesSpatial accessibility to basic public health services in South Sudan.Using Random Forest to Improve the Downscaling of Global Livestock Census DataResearch on Grid Size Suitability of Gridded Population Distribution in Urban Area: A Case Study in Urban Area of Xuanzhou District, China.Spatiotemporal patterns of population in mainland China, 1990 to 2010Clade-level Spatial Modelling of HPAI H5N1 Dynamics in the Mekong Region Reveals New Patterns and Associations with Agro-Ecological Factors.Fine-Scale Population Estimation by 3D Reconstruction of Urban Residential Buildings.Species distribution models: A comparison of statistical approaches for livestock and disease epidemics.GridSample: an R package to generate household survey primary sampling units (PSUs) from gridded population dataModelling changing population distributions: an example of the Kenyan Coast, 1979-2009.Examining the correlates and drivers of human population distributions across low- and middle-income countries.Human-Wildlife Interactions Predict Febrile Illness in Park Landscapes of Western Uganda.Census-independent population mapping in northern Nigeria.Access to emergency hospital care provided by the public sector in sub-Saharan Africa in 2015: a geocoded inventory and spatial analysis.Using non-exceedance probabilities of policy-relevant malaria prevalence thresholds to identify areas of low transmission in Somalia.High-resolution reconstruction of the United States human population distribution, 1790 to 2010.Spatially disaggregated population estimates in the absence of national population and housing census data.Social capital and transaction costs in millet markets.Gridded birth and pregnancy datasets for Africa, Latin America and the Caribbean.Vulnerability to snakebite envenoming: a global mapping of hotspotsAuthoritative and Volunteered Geographical Information in a Developing Country: A Comparative Case Study of Road Datasets in Nairobi, KenyaGeospatial mapping of access to timely essential surgery in sub-Saharan AfricaEstimating daily surface NO<sub>2</sub> concentrations from satellite data – a case study over Hong Kong using land use regression modelsMethods of Population Spatialization Based on the Classification Information of Buildings from China's First National Geoinformation Survey in Urban Area: A Case Study of Wuchang District, Wuhan City, China
P2860
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P2860
Disaggregating census data for population mapping using random forests with remotely-sensed and ancillary data
description
2015 nî lūn-bûn
@nan
2015 թուականին հրատարակուած գիտական յօդուած
@hyw
2015 թվականին հրատարակված գիտական հոդված
@hy
2015年の論文
@ja
2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
name
Disaggregating census data for ...... tely-sensed and ancillary data
@ast
Disaggregating census data for ...... tely-sensed and ancillary data
@en
Disaggregating census data for ...... tely-sensed and ancillary data
@nl
type
label
Disaggregating census data for ...... tely-sensed and ancillary data
@ast
Disaggregating census data for ...... tely-sensed and ancillary data
@en
Disaggregating census data for ...... tely-sensed and ancillary data
@nl
prefLabel
Disaggregating census data for ...... tely-sensed and ancillary data
@ast
Disaggregating census data for ...... tely-sensed and ancillary data
@en
Disaggregating census data for ...... tely-sensed and ancillary data
@nl
P2860
P50
P3181
P1433
P1476
Disaggregating census data for ...... tely-sensed and ancillary data
@en
P2093
Andrea E Gaughan
P2860
P304
P3181
P356
10.1371/JOURNAL.PONE.0107042
P407
P577
2015-01-01T00:00:00Z