Uncertainty analysisSensitivity analysisOpen-source climate risk assessment platforms allow for accessible and efficient estimation of current and future climate risk by combining information about hazard, expo
However, the reliability of these inferences depends critically on reporting errors and latencies innate to the time series. Here, we develop an analytical framework to quantify the uncertainty induced by under-reporting and delays in reporting infections, as well as a metric for ranking surveillance...
Using a stochastic IPM for a desert cactus based on a 10-year study as a worked example, we highlight the application of a Bayesian approach for translating uncertainty in the vital rates (e.g., growth, survival, fertility) to uncertainty in population-level quantities derived from them (e...
A tutorial will be provided on the technologies known collectively as Generalized Information Theories (GIT). These technologies will be summarized, then illustrated within the context of simple structural mechanics or structural dynamics examples. A concept of the aggregated uncertainty...
L. and Hunter, T. S. (2013), Quantifying parameter uncertainty and assessing the skill of exponential dispersion rainfall simulation models. Int. J. Climatol., 33: 746–757. doi: 10.1002/joc.3469 Author Information 1 NOAA, Great Lakes Environmental Research Laboratory, Ann Arbor, MI, USA 2...
In a traditional importance-performance analysis (IPA), the information of uncertainty for importance and performance does not normally take into account from the survey but does commonly exist in practice. To further consider the uncertainty for each item from the survey results, the IPA under ...
information quantityuncertaintyentropyremote sensing imagerycorrelationSo far there's been no metrology on the measurement of information of remote sensing imagery.We introduce the conceptionLin, ZongjianDeng, Bing武汉大学自然资源与环境科学空间信息精度评估国际研讨会...
The application of our procedure to downscaled climate projections may provide information on the characteristics of uncertainty in local climate projections. In the context of agriculture and food security, this would consist of an ensemble of WGs, compared across an ensemble of crop models in a ...
However, ES assessments are often associated with high levels of uncertainty, which affects their credibility. We demonstrate how different types of information on ES (including EO data, process models, and expert knowledge) can be integrated in a Bayesian Network, where the associated uncertainties ...
Geologists use solid, dashed, dotted, and queried lines to convey confidence in interpretation of locations and nature of formation boundaries and faults. The lines have location error related to map scale, terrain, vegetation, and field methods, and uncertainty related to the competency of the ...