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Jamie Ridenhour

Datos Biográficos

ID6694443
NOMBREJamie Ridenhour
NOMBRESJamie
APELLIDORidenhour
FIRMARIDENHOUR J
AFILIACIONESRTI International, Research Triangle Park, NC, USA
ORCID0000-0001-6216-9512
VERIFICADOSí
TOTAL DE OBRAS1
TOTAL DE CITAS0
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMER AÑO DE PUBLICACIÓN2018
AÑO MÁS RECIENTE DE PUBLICACIÓN2018
ÍNDICE H0
  • Geo-sampling in developing nations

    James Cajka, Safaa Amer et al.•ARTICLE•International Journal of Social…•2018

    RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km2 LandScan world population data, which was further subdivided to smaller grid cells ranging from 50 to 150 m2. To guide f…

Sin obras prominentes en esta página.

  • Geo-sampling in developing nations

    James Cajka, Safaa Amer et al.•ARTICLE•International Journal of Social…•2018

    RTI International created a geospatial grid-based sampling methodology that: achieved a probability-based household sample and unbiased estimates; was comparable across countries; used simple frame data available from the in-country census; and was efficient with minimal training to local field staff. The methodology used 1 km2 LandScan world population data, which was further subdivided to smaller grid cells ranging from 50 to 150 m2. To guide f…

Cartography (1 obras) · Census (1 obras) · Computer Science (1 obras) · Data collection (1 obras) · Data science (1 obras) · Data-Driven Disease Surveillance (1 obras) · Database (1 obras) · demographic modeling and climate adaptation (1 obras) · Demography (1 obras) · Demography (1 obras)

Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae