dilution of precision

简明释义

精度系数精度因子

英英释义

例句

1.To minimize dilution of precision, surveyors should use high-quality instruments.

为了最小化精度稀释，测量员应该使用高质量的仪器。

2.When multiple signals interfere with each other, it can result in a dilution of precision for the data collected.

当多个信号相互干扰时，可能导致收集的数据出现精度稀释。

3.In a crowded urban environment, the dilution of precision can affect navigation applications.

在拥挤的城市环境中，精度稀释可能影响导航应用程序。

4.The dilution of precision in survey measurements can lead to inaccurate land assessments.

测量中的精度稀释可能导致土地评估不准确。

5.In GPS technology, a higher number of satellites can lead to a dilution of precision in location tracking.

在GPS技术中，更多的卫星可能会导致位置追踪的精度稀释。

作文

In the realm of technology and data analysis, understanding the concept of dilution of precision is crucial. This term refers to the decrease in accuracy of a measurement or data point due to various factors that can interfere with the process of collection or interpretation. In simpler terms, when multiple sources of data are combined, the overall reliability can sometimes diminish, leading to less precise outcomes. This phenomenon is particularly evident in fields such as GPS technology, where the accuracy of location data can be affected by environmental factors, signal interference, and the number of satellites available for triangulation. For instance, when using a GPS device in an open area with a clear view of the sky, the readings are generally very accurate. However, if the same device is used in a densely built urban environment or under heavy foliage, the signals may bounce off buildings or be obstructed, resulting in a significant dilution of precision. The device may still provide a location, but that location could be several meters off from the actual position. This issue highlights the importance of context and conditions when interpreting data, as they can greatly influence the quality of the information obtained.Moreover, the dilution of precision is not limited to GPS technology alone; it can also apply to statistical analyses in research studies. When combining data from different studies or sources, researchers must be cautious about how the data is integrated. If the studies have varying methodologies, sample sizes, or populations, the resulting analysis may suffer from a dilution of precision, making it difficult to draw reliable conclusions. For example, if a health study combines data from populations with vastly different health profiles, the average results may obscure significant trends or risks that are present in specific groups.To mitigate the effects of dilution of precision, it is essential to implement rigorous data collection and analysis protocols. This includes ensuring that data sources are compatible, using standardized methodologies, and being transparent about the limitations of the data. Additionally, employing advanced statistical techniques can help to account for variability and improve the accuracy of the findings.In conclusion, the concept of dilution of precision serves as a reminder of the complexities involved in data collection and interpretation. Whether in technological applications like GPS or in research studies, recognizing the potential for decreased accuracy is vital for making informed decisions. By understanding and addressing the factors that contribute to dilution of precision, we can enhance the reliability of our data and ultimately lead to better outcomes in various fields. Therefore, as we continue to navigate an increasingly data-driven world, being aware of this phenomenon will empower us to critically evaluate the information we encounter and utilize it more effectively.

在科技和数据分析的领域，理解“dilution of precision”这一概念至关重要。这个术语指的是由于各种因素干扰收集或解释过程而导致的测量或数据点的准确性下降。简单来说，当多个数据源被结合时，整体的可靠性有时会降低，从而导致不那么精确的结果。这种现象在GPS技术等领域尤为明显，在这些领域，位置数据的准确性可能会受到环境因素、信号干扰和可用于三角测量的卫星数量的影响。例如，当在开阔区域中使用GPS设备时，信号通常非常准确。然而，如果在建筑密集的城市环境或浓密树叶下使用同一设备，信号可能会反弹或被遮挡，从而导致显著的dilution of precision。该设备仍然可以提供位置，但该位置可能与实际位置相差几米。这个问题突显了在解读数据时上下文和条件的重要性，因为它们可以极大地影响所获得信息的质量。此外，dilution of precision并不仅限于GPS技术；它还适用于研究中的统计分析。当将来自不同研究或来源的数据结合时，研究人员必须谨慎处理数据的整合。如果研究的方法论、样本大小或人群差异很大，最终的分析可能会遭受dilution of precision，使得很难得出可靠的结论。例如，如果一项健康研究结合了具有截然不同健康特征的人群的数据，平均结果可能会掩盖特定群体中存在的重要趋势或风险。为了减轻dilution of precision的影响，实施严格的数据收集和分析协议至关重要。这包括确保数据源兼容、使用标准化的方法论，并对数据的局限性保持透明。此外，采用先进的统计技术可以帮助考虑变异性并提高结果的准确性。总之，“dilution of precision”这一概念提醒我们，数据收集和解读中涉及的复杂性。无论是在GPS等技术应用中，还是在研究中，认识到准确性下降的潜力对于做出明智的决策至关重要。通过理解和解决导致dilution of precision的因素，我们可以提高数据的可靠性，并最终在各个领域取得更好的结果。因此，随着我们继续在一个日益数据驱动的世界中导航，意识到这一现象将使我们能够批判性地评估所遇到的信息，并更有效地利用它。