sampling point

简明释义

采样点

英英释义

例句

1.The researcher selected a specific sampling point to collect water samples from the river.

研究人员选择了一个特定的取样点从河流中收集水样。

2.During the survey, we marked each sampling point on the map for accurate data collection.

在调查过程中，我们在地图上标记了每个取样点以便准确收集数据。

3.Each sampling point was chosen based on its proximity to urban areas.

每个取样点的选择是基于其与城市区域的接近程度。

4.The team established multiple sampling points across the forest to study biodiversity.

团队在森林中建立了多个取样点以研究生物多样性。

5.At each sampling point, we measured the soil pH levels to assess environmental health.

在每个取样点，我们测量了土壤的pH值以评估环境健康。

作文

In the field of research and data analysis, the term sampling point plays a crucial role in ensuring that the data collected is representative of the larger population. A sampling point refers to a specific location or instance from which data is collected during a study. The importance of selecting appropriate sampling points cannot be overstated, as they can significantly affect the validity and reliability of the research findings. For example, imagine a researcher studying the effects of air pollution on public health in a metropolitan area. If the researcher only collects data from affluent neighborhoods, the results may not accurately reflect the health impacts experienced by residents in lower-income areas. Therefore, it is essential to strategically choose sampling points that encompass a diverse range of demographics and environmental conditions. This ensures that the data is comprehensive and provides a more accurate picture of the entire population.Moreover, the method of selecting sampling points can vary depending on the research design. There are several techniques, such as random sampling, stratified sampling, and systematic sampling, each with its own advantages and disadvantages. Random sampling involves selecting sampling points entirely by chance, which can help eliminate bias but may not always guarantee representation across different groups. On the other hand, stratified sampling divides the population into distinct subgroups and then selects sampling points from each subgroup, ensuring that all segments of the population are adequately represented.In addition to the selection technique, the number of sampling points chosen is also critical. Too few sampling points can lead to inconclusive results, while too many can result in unnecessary complexity and increased costs. Researchers must strike a balance between obtaining enough data to draw meaningful conclusions and managing resources effectively.Furthermore, the geographical distribution of sampling points can impact the outcomes of a study. For instance, in ecological research, if sampling points are clustered in one area, the results may not be applicable to other regions. To avoid this pitfall, researchers should consider the spatial variability of the subject matter and ensure that sampling points are spread out over a wide area.In conclusion, the concept of sampling point is fundamental to the integrity of research. By carefully selecting sampling points, researchers can enhance the quality of their data, leading to more reliable and valid conclusions. Whether in social sciences, environmental studies, or market research, understanding how to effectively choose and utilize sampling points is essential for any researcher aiming to contribute valuable insights to their field. Ultimately, the success of a study often hinges on the thoughtful consideration of sampling points and their role in the broader context of research methodology.

在研究和数据分析领域，术语采样点在确保收集的数据能够代表更大人群方面发挥着至关重要的作用。采样点是指在研究中收集数据的特定位置或实例。选择适当的采样点的重要性不容小觑，因为它们可能会显著影响研究结果的有效性和可靠性。例如，想象一下一个研究人员正在研究空气污染对城市地区公共健康的影响。如果研究人员只从富裕社区收集数据，结果可能无法准确反映低收入地区居民所经历的健康影响。因此，战略性地选择涵盖多种人口统计和环境条件的采样点是至关重要的。这确保了数据的全面性，并提供了整个群体更准确的图像。此外，选择采样点的方法可以根据研究设计而有所不同。有几种技术，如随机抽样、分层抽样和系统抽样，每种技术都有其优缺点。随机抽样完全通过机会选择采样点，这可以帮助消除偏差，但可能并不总能保证各个群体的代表性。另一方面，分层抽样将人群划分为不同的子组，然后从每个子组中选择采样点，确保所有人群的各个部分都得到充分代表。除了选择技术外，选择的采样点数量也至关重要。太少的采样点可能导致结果不明确，而太多则可能导致不必要的复杂性和增加成本。研究人员必须在获取足够的数据以得出有意义的结论与有效管理资源之间找到平衡。此外，采样点的地理分布也可能影响研究的结果。例如，在生态研究中，如果采样点集中在一个区域，结果可能不适用于其他地区。为了避免这种陷阱，研究人员应考虑主题的空间变异性，并确保采样点分布在广泛的区域内。总之，采样点的概念对研究的完整性至关重要。通过仔细选择采样点，研究人员可以提高数据的质量，从而得出更可靠和有效的结论。无论是在社会科学、环境研究还是市场研究中，理解如何有效选择和利用采样点对于任何旨在为其领域贡献有价值见解的研究人员来说都是必不可少的。最终，一项研究的成功往往取决于对采样点及其在更广泛研究方法学中的作用的深思熟虑的考虑。