在科学中记录和传达不确定性:地质学家如何管理空间数据的变化?
Cristina G Wilson1, Madelyn Sadler2, Jacob Lader3
1Collaborative Robotics and Intelligent Systems Institute, Oregon State University, Corvallis, OR, USA. cristina.wilson@oregonstate.edu.
Cognitive research: principles and implications
|October 24, 2025
概括
地质学家对数据变化的容忍度会影响观察结果成为数据. 尽管如此,科学家们可以准确地推断出信息,即使是从高度可变的地质数据.
科学领域:
- 地质科学 地质科学
- 数据科学数据科学数据科学
- 科学方法学科学方法学
背景情况:
- 科学推断依赖于管理数据的变化.
- 在观测地质学中,可变性影响数据记录和出版决策.
- 高变量可能导致观察被忽视.
研究的目的:
- 评估数据变化如何影响地质学家记录和发布观测的决定.
- 研究地质学家从可变数据中得出推断的能力.
- 检查可变性水平对推断准确性的影响.
主要方法:
- 对97名地质学家进行了3次实验.
- 介绍了地质学家关于平面特征定向与操纵变量的地质数据.
- 评估了记录/公布数据的意愿,以及方向估计的准确性.
主要成果:
- 观察到可变性耐受性的显著个体差异.
- 具有高标准的地质学家不太可能记录/发布可变数据.
- 低标准的地质学家更愿意记录/发布可变数据.
- 地质学家准确地从可变数据中估计了方向,无论变化程度如何.
结论:
- 地质学家对数据变异性的标准影响数据的记录和发布.
- 科学家可能会避免公布变量数据,即使准确的推断是可能的.
- 了解可变性耐受性对于数据共享和科学进步至关重要.
相关概念视频
Uncertainty in Measurement: Accuracy and Precision
99.7K
Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.
99.7K
Uncertainty: Overview
1.5K
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.
1.5K
Random and Systematic Errors
14.3K
Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
14.3K
Propagation of Uncertainty from Random Error
1.6K
An experiment often consists of more than a single step. In this case, measurements at each step give rise to uncertainty. Because the measurements occur in successive steps, the uncertainty in one step necessarily contributes to that in the subsequent step. As we perform statistical analysis on these types of experiments, we must learn to account for the propagation of uncertainty from one step to the next. The propagation of uncertainty depends on the type of arithmetic operation performed on...
1.6K
Propagation of Uncertainty from Systematic Error
1.3K
The atomic mass of an element varies due to the relative ratio of its isotopes. A sample's relative proportion of oxygen isotopes influences its average atomic mass. For instance, if we were to measure the atomic mass of oxygen from a sample, the mass would be a weighted average of the isotopic masses of oxygen in that sample. Since a single sample is not likely to perfectly reflect the true atomic mass of oxygen for all the molecules of oxygen on Earth, the mass we obtain from this...
1.3K
Random Error
7.9K
Random or indeterminate errors originate from various uncontrollable variables, such as variations in environmental conditions, instrument imperfections, or the inherent variability of the phenomena being measured. Usually, these errors cannot be predicted, estimated, or characterized because their direction and magnitude often vary in magnitude and direction even during consecutive measurements. As a result, they are difficult to eliminate. However, the aggregate effect of these errors can be...
7.9K


