Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

James Cajka

Dados Biográficos

ID6560080
NOMEJames Cajka
PRENOMESJames
SOBRENOMECajka
ASSINATURACAJKA J
AFILIAÇÕESRTI International
ORCID0000-0001-9800-6627
VERIFICADOSim
TOTAL DE OBRAS5
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR5
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2006
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H1
  • Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition

    Open Access•Aspen Reese, Christopher M Clark et al.•ARTICLE•Environmental Research Letters•2024

    Forest composition and ecosystem services are sensitive to anthropogenic pressures like climate change and atmospheric deposition of nitrogen (N) and sulfur (S). Here we extend recent forest projections for the current cohort of trees in the contiguous US, characterizing potential changes in aboveground tree carbon at the county level in response to varying mean annual temperature, precipitation, and N and S deposition. We found that relative to …

  • A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India

    Open Access•Charles Q Lau, Charles Lau et al.•ARTICLE•International Journal of Public…•2021•Citada por: 1•Referências: 1

    Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…

  • 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…

  • The Role of Subway Travel in an Influenza Epidemic

    Open Access•Philip C Cooley, Philip Cooley et al.•ARTICLE•Journal of Urban Health•2011•Citada por: 2

  • Strategies for mitigating an influenza pandemic

    Open Access•Neil M Ferguson, Derek A T Cummings et al.•ARTICLE•Nature•2006

  • The Role of Subway Travel in an Influenza Epidemic

    Open Access•Philip C Cooley, Philip Cooley et al.•ARTICLE•Journal of Urban Health•2011•Citada por: 2

  • A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India

    Open Access•Charles Q Lau, Charles Lau et al.•ARTICLE•International Journal of Public…•2021•Citada por: 1•Referências: 1

    Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…

  • Strategies for mitigating an influenza pandemic

    Open Access•Neil M Ferguson, Derek A T Cummings et al.•ARTICLE•Nature•2006

  • The Role of Subway Travel in an Influenza Epidemic

    Open Access•Philip C Cooley, Philip Cooley et al.•ARTICLE•Journal of Urban Health•2011•Citada por: 2

  • 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…

  • A Comparison of Geosampling and Random Walk Methods for Household Sample Selection in Uttar Pradesh, India

    Open Access•Charles Q Lau, Charles Lau et al.•ARTICLE•International Journal of Public…•2021•Citada por: 1•Referências: 1

    Our research evaluates an innovative sampling technique for household surveys called “geosampling” which leverages recent advances in geographic information systems, computer vision algorithms, and satellite imagery. We compare geosampling to the random walk method. We conducted two surveys in Uttar Pradesh, India: one using geosampling (1,026 completes) and another using random walk (939 completes). We compare the two sampling techniques along t…

  • Geographic variation in projected US forest aboveground carbon responses to climate change and atmospheric deposition

    Open Access•Aspen Reese, Christopher M Clark et al.•ARTICLE•Environmental Research Letters•2024

    Forest composition and ecosystem services are sensitive to anthropogenic pressures like climate change and atmospheric deposition of nitrogen (N) and sulfur (S). Here we extend recent forest projections for the current cohort of trees in the contiguous US, characterizing potential changes in aboveground tree carbon at the county level in response to varying mean annual temperature, precipitation, and N and S deposition. We found that relative to …

Geography (4 obras) · Computer Science (3 obras) · Mathematics (3 obras) · COVID-19 epidemiological studies (2 obras) · Data-Driven Disease Surveillance (2 obras) · Demography (2 obras) · Disease (2 obras) · Environmental health (2 obras) · Human Mobility and Location-Based Analysis (2 obras) · Influenza Virus Research Studies (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae