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相关概念视频

Design Example: Analyzing Capacity Contours for Flood Risk Assessment01:17

Design Example: Analyzing Capacity Contours for Flood Risk Assessment

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Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
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Time-Series Graph00:54

Time-Series Graph

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A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
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Survival Curves01:18

Survival Curves

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Survival curves are graphical representations that depict the survival experience of a population over time, offering an intuitive way to track the proportion of individuals who remain event-free at each time point. These curves are widely used in fields such as medicine, public health, and reliability engineering to visualize and compare survival probabilities across different groups or conditions.
The Kaplan-Meier estimator is the most common method for constructing survival curves. This...
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Uncertainty: Overview00:59

Uncertainty: Overview

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In analytical chemistry, we often perform repetitive measurements to detect and minimize inaccuracies caused by both determinate and indeterminate errors. Despite the cares we take, the presence of random errors means that repeated measurements almost never have exactly the same magnitude. The collective difference between these measurements - observed values - and the estimated or expected value is called uncertainty. Uncertainty is conventionally written after the estimated or expected value.
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Probability Histograms01:17

Probability Histograms

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A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
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Relative Risk01:12

Relative Risk

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Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
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相关实验视频

Updated: May 26, 2025

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
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叙事可视化:描绘累积的风险和对数据的信任度的增加.

Madison Fansher1, Logan Walls2, Chenxu Hao3

  • 1Department of Physical Medicine & Rehabilitation, University of Michigan, Ann Arbor, USA. mfansher@umich.edu.

Cognitive research: principles and implications
|February 21, 2025
PubMed
概括
此摘要是机器生成的。

叙事可视化通过增加对数据的理解和信任来改善风险沟通. 这种方法有助于人们在面对令人惊的科学信息时做出更好的决策,比如在COVID-19大流行期间.

关键词:
数据可视化数据可视化错误的信息是错误的信息.风险感知 风险感知

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科学领域:

  • 数据可视化数据可视化
  • 风险沟通风险沟通是什么
  • 科学传播是科学传播.

背景情况:

  • 令人惊的数据可视化可以侵蚀信任,导致不良的风险决策,特别是当事先知识有限时,就像在COVID-19大流行期间看到的那样.
  • 有效的风险沟通对于公共健康和安全至关重要,特别是对于新型威胁.

研究的目的:

  • 探索叙事可视化的有效性,平衡静态可视化,交互式模拟和事的好处.
  • 确定叙事可视化是否可以减轻风险沟通中静态可视化引起的担忧.
  • 研究叙事可视化增强风险感知和数据信任的机制.

主要方法:

  • 实证研究将叙事可视化与静态可视化进行比较,以传达COVID-19传播风险.
  • 调解分析,以评估感知理解和数据信任对风险问题的影响.

主要成果:

  • 观看叙事可视化减轻了静态可视化引起的对COVID-19传播风险的减少关注 (研究1).
  • 叙事可视化比静态可视化更有效,通过增强对数据的感知理解和信任,增加对大风险的担忧 (研究2).

结论:

  • 叙事可视化代表了一个独特而强大的科学沟通工具类.
  • 这些可视化在具有令人惊的数据和经验理解至关重要的背景下特别有价值.
  • 叙事可视化可以提高公众对科学数据的参与和信任,从而使风险评估更为明智.