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Data from: Spatio-temporally explicit model averaging for forecasting of Alaskan groundfish catch
负责人:
Correia, Hannah
关键词:
forecast model averaging spatio-temporal multi-model inference
DOI:
doi:10.5061/dryad.s23g7bc
摘要:
forecasting models and a modern spatial prediction model: the autoregressive integrated moving averages (ARIMA) model, the Bayesian hierarchical model
REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office Crop Forecast Survey, 2013\/2014
负责人:
Crawford, Eric W
关键词:
DOI:
doi:10.7910/dvn/mvowv0
摘要:
This dataset is a cleaned version of the REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office Crop Forecast Survey
REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office Crop Forecast Survey, 2012\/2013
负责人:
Crawford, Eric W
关键词:
DOI:
doi:10.7910/dvn/oq8tvm
摘要:
This dataset is a cleaned version of the REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office Crop Forecast Survey
REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office, Modified Crop Forecast Survey , 2010-2011
负责人:
Crawford, Eric W
关键词:
DOI:
doi:10.7910/dvn/xbncde
摘要:
This dataset is a cleaned version of the REPUBLIC OF ZAMBIA, Ministry of Agriculture Livestock and Central Statistical Office Crop Forecast Survey
Data from: A risk-based forecast of extreme mortality events in small cetaceans: using stranding data to inform conservation practice
负责人:
Bouchard Colin
关键词:
Forecasting Bycatch Conservation Extreme events Extreme Value Theory Marine mammals Marine Strategic Framework Directive Mortality
DOI:
doi:10.5061/dryad.vj7sh73
摘要:
e analysed using Extreme Value Theory (EVT). EVT operationalises what is an extreme ASME, and allows the probabilistic forecasting of the expected maximum numb
Data from: Why less complexity produces better forecasts: an independent data evaluation of kelp habitat models
负责人:
关键词:
coastal ecosystem;Macrocystis pyrifera;forecast skill;Nereocystis luetkeana;Holocene;habitat suitability
DOI:
doi:10.5061/dryad.s22s280
摘要:
ween model complexity and forecast skill, measured using both cross-validation and independent data evaluation. Our analysis confirmed the importance of predictors use
Data from: Temporal, spatial and household dynamics of typhoid fever in Kasese district, Uganda
负责人:
关键词:
temporal;2016;spatial;2015;2014;Typhoid fever;Forecasting;Salmonella Typhi;Fevers;water resources;Uganda;flooding;sanitation
DOI:
doi:10.5061/dryad.fh8k355
摘要:
ng a conditional logistic regression model, in addition to develop a typhoid outbreak-forecasting framework. The incidence rate of typhoid fever at national and district level was ~ 160
Data from: Adaptive nowcasting of influenza outbreaks using Google searches
负责人:
关键词:
data science;Complex systems;computational social science
DOI:
doi:10.5061/dryad.r06h2
摘要:
that equally good estimates of current flu levels can be forecast using historic flu measurements. Here, we build dynamic ‘nowcasting’ models; in other
Data from: Avoidable errors in the modeling of outbreaks of emerging pathogens, with special reference to Ebola
负责人:
关键词:
emerging infectious disease;forecast;statistical inference;Ebola virus disease
DOI:
doi:10.5061/dryad.r5f30
摘要:
e widely used modelling practices lead to potentially large errors in parameter estimates and, consequently, errors in model-based forecasts. Even mor
Data from: The utility of information flow in formulating discharge forecast models: a case study from an arid snow-dominated catchment
负责人:
关键词:
Dry Creek Experimental Watershed;transfer entropy;aggregation scales;climatic forcing;Discharge;climatic anomalies
DOI:
doi:10.6078/D1CH64
摘要:
These data accompany the manuscript “The utility of information flow in formulating discharge forecast models: a case study from an arid snow

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