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James Rowland

Dados Biográficos

ID6486500
NOMEJames Rowland
PRENOMESJames
SOBRENOMERowland
ASSINATURAROWLAND J
AFILIAÇÕESOklahoma State University Oklahoma City
ORCID0000-0003-4837-3511
VERIFICADOSim
TOTAL DE OBRAS4
TOTAL DE CITAÇÕES3
TOTAL COMO AUTOR4
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO1986
ANO MAIS RECENTE DE PUBLICAÇÃO2024
ÍNDICE H1
  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

  • IEEE Education Society Awards, 2018 Frontiers in Education Conference Awards, and Selected IEEE Awards

    Open Access•James J Sluss, Susan M Lord et al.•ARTICLE•IEEE Transactions on Education•2019

    The IEEE Education Society, the IEEE Computer Society, and the American Society for Engineering Education Educational Research and Methods Division (ASEE-ERM) sponsored the 48th Frontiers in Education (FIE) Conference in San Jose, CA, USA, held October 3–6, 2018. Claudio R. Brito, President of the IEEE Education Society, and Stephen T. Frezza, Chair of the FIE Steering Committee, presented awards sponsored by the Education Society and the FIE Con…

  • The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes

    Open Access•Chris Funk, Pete Peterson et al.•ARTICLE•Scientific Data•2015

    The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly …

  • A methodology for estimating emergency evacuation times

    Open Access•Stephen W Tweedie, James Rowland et al.•ARTICLE•The Social Science Journal•1986•Citada por: 3•Referências: 1

    A methodology based on probabilistic mobilization time curves and pertinent evacuation network details is described for estimating the times required for the partial or total evacuation of an emergency planning zone (EPZ). Such an EPZ evacuation study is required by the U.S. Nuclear Regualatory Commission (NRC) for existing and proposed nuclear power operating plants. Inputs and outputs for the resulting computer model developed from the methodol…

  • A methodology for estimating emergency evacuation times

    Open Access•Stephen W Tweedie, James Rowland et al.•ARTICLE•The Social Science Journal•1986•Citada por: 3•Referências: 1

    A methodology based on probabilistic mobilization time curves and pertinent evacuation network details is described for estimating the times required for the partial or total evacuation of an emergency planning zone (EPZ). Such an EPZ evacuation study is required by the U.S. Nuclear Regualatory Commission (NRC) for existing and proposed nuclear power operating plants. Inputs and outputs for the resulting computer model developed from the methodol…

  • A methodology for estimating emergency evacuation times

    Open Access•Stephen W Tweedie, James Rowland et al.•ARTICLE•The Social Science Journal•1986•Citada por: 3•Referências: 1

    A methodology based on probabilistic mobilization time curves and pertinent evacuation network details is described for estimating the times required for the partial or total evacuation of an emergency planning zone (EPZ). Such an EPZ evacuation study is required by the U.S. Nuclear Regualatory Commission (NRC) for existing and proposed nuclear power operating plants. Inputs and outputs for the resulting computer model developed from the methodol…

  • The climate hazards infrared precipitation with stations—a new environmental record for monitoring extremes

    Open Access•Chris Funk, Pete Peterson et al.•ARTICLE•Scientific Data•2015

    The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based on infrared Cold Cloud Duration (CCD) observations. The algorithm i) is built around a 0.05° climatology that incorporates satellite information to represent sparsely gauged locations, ii) incorporates daily, pentadal, and monthly …

  • IEEE Education Society Awards, 2018 Frontiers in Education Conference Awards, and Selected IEEE Awards

    Open Access•James J Sluss, Susan M Lord et al.•ARTICLE•IEEE Transactions on Education•2019

    The IEEE Education Society, the IEEE Computer Society, and the American Society for Engineering Education Educational Research and Methods Division (ASEE-ERM) sponsored the 48th Frontiers in Education (FIE) Conference in San Jose, CA, USA, held October 3–6, 2018. Claudio R. Brito, President of the IEEE Education Society, and Stephen T. Frezza, Chair of the FIE Steering Committee, presented awards sponsored by the Education Society and the FIE Con…

  • Testing spatial out-of-sample area of influence for grain forecasting models

    Open Access•Frank Davenport, Dawn Lee et al.•ARTICLE•Environmental Research Letters•2024

    We examine the factors that determine if a grain forecasting model fit to one region can be transferred to another region. Prior research has proposed examining the area of applicability (AoA) of a model based on structurally similar characteristics in the Earth Observation predictors and weights based on the model derived feature importance. We expand on and evaluate this approach in the context of grain yield forecasting in Sub-Saharan Africa. …

Computer Science (3 obras) · Artificial Intelligence (2 obras) · Engineering (2 obras) · Geography (2 obras) · Political science (2 obras) · Business (1 obras) · Climate change impacts on agriculture (1 obras) · Context (archaeology (1 obras) · Disaster Management and Resilience (1 obras) · Econometrics (1 obras)

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