areal sampling

简明释义

1. 面积采样; 2. 分区取样;

英英释义

例句

1.In environmental studies, areal sampling is crucial for assessing soil quality across different landscapes.

在环境研究中，区域抽样对于评估不同景观的土壤质量至关重要。

2.The areal sampling method allowed us to estimate the population density of fish in the lake.

该区域抽样方法使我们能够估算湖中鱼类的种群密度。

3.The researchers used areal sampling to collect data on plant diversity in the region.

研究人员使用区域抽样收集该地区植物多样性的数据。

4.Our team conducted areal sampling to gather information on air pollution levels in various neighborhoods.

我们的团队进行了区域抽样，以收集各个社区空气污染水平的信息。

5.By implementing areal sampling, we can better understand the distribution of wildlife in urban areas.

通过实施区域抽样，我们可以更好地理解城市地区野生动物的分布。

作文

Areal sampling is a crucial technique used in various fields such as ecology, geography, and urban planning. It refers to the method of collecting data from specific areas to make inferences about a larger population or environment. This approach allows researchers to gather representative samples without needing to survey every single unit within the larger area. Understanding the concept of areal sampling (区域取样) is essential for effective data collection and analysis.In ecology, for instance, areal sampling (区域取样) can be employed to study biodiversity in different habitats. Researchers may select specific plots of land to survey the types and numbers of species present. By extrapolating these findings to the entire ecosystem, they can gain insights into the overall health and diversity of the environment. This method saves time and resources while still providing valuable information.Similarly, in geography, areal sampling (区域取样) is often utilized to analyze land use patterns or demographic distributions. For example, urban planners might conduct surveys in selected neighborhoods to understand how residents utilize public spaces. By gathering data from these areas, they can make informed decisions about future developments and resource allocation. This targeted approach ensures that the data collected is relevant and applicable to the broader context.One of the advantages of areal sampling (区域取样) is its efficiency. Instead of attempting to collect data from every location within a given area, researchers can focus on strategically chosen sites that are representative of the larger population. This not only reduces the time and effort required for data collection but also minimizes costs associated with extensive surveys.However, it is important to note that the success of areal sampling (区域取样) heavily relies on the selection of sampling sites. If the chosen areas are not representative of the whole, the conclusions drawn may be misleading. Therefore, researchers must carefully consider factors such as geographic features, population density, and environmental variations when designing their sampling strategy.In addition, the analysis of data gathered through areal sampling (区域取样) requires statistical techniques to ensure accurate interpretations. Researchers often employ various methods to analyze the data, including regression analysis and spatial statistics. These techniques help to identify patterns and relationships within the sampled data, allowing for more robust conclusions.In conclusion, areal sampling (区域取样) is a vital tool in research that enables scientists and planners to gather meaningful data efficiently. By focusing on specific areas rather than attempting to cover an entire region, this method provides a practical solution for data collection challenges. As we continue to face complex environmental and social issues, understanding and utilizing areal sampling (区域取样) will be increasingly important for making informed decisions and developing sustainable solutions.

区域取样是一个在生态学、地理学和城市规划等多个领域中使用的重要技术。它指的是从特定区域收集数据，以对更大的人口或环境进行推断的方法。这种方法使研究人员能够收集代表性样本，而无需对整个区域内的每一个单元进行调查。理解区域取样的概念对于有效的数据收集和分析至关重要。例如，在生态学中，区域取样可以用于研究不同栖息地的生物多样性。研究人员可能会选择特定的土地块来调查存在的物种类型和数量。通过将这些发现推断到整个生态系统，他们可以深入了解环境的整体健康和多样性。这种方法节省了时间和资源，同时仍提供了有价值的信息。同样，在地理学中，区域取样通常用于分析土地利用模式或人口分布。例如，城市规划者可能会在选定的社区进行调查，以了解居民如何利用公共空间。通过收集这些区域的数据，他们可以就未来的发展和资源分配做出明智的决策。这种针对性的方法确保所收集的数据与更广泛的背景相关且适用。区域取样的一个优点是其高效性。研究人员不必试图从给定区域内的每个位置收集数据，而是可以专注于战略性选择的代表性地点。这不仅减少了数据收集所需的时间和精力，还降低了与广泛调查相关的成本。然而，重要的是要注意，区域取样的成功在很大程度上依赖于采样地点的选择。如果所选择的区域不能代表整体，则得出的结论可能会产生误导。因此，研究人员在设计采样策略时必须仔细考虑地理特征、人口密度和环境变化等因素。此外，通过区域取样收集的数据分析需要统计技术以确保准确的解释。研究人员通常采用各种方法来分析数据，包括回归分析和空间统计。这些技术有助于识别样本数据中的模式和关系，从而得出更稳健的结论。总之，区域取样是研究中的一项重要工具，使科学家和规划者能够高效地收集有意义的数据。通过关注特定区域而不是试图覆盖整个区域，这种方法为数据收集挑战提供了实用的解决方案。随着我们继续面临复杂的环境和社会问题，理解和利用区域取样将对做出明智决策和制定可持续解决方案变得越来越重要。