area weighted average resolution

简明释义

面积加权平均分辨力;

英英释义

例句

1.The area weighted average resolution is crucial when analyzing satellite imagery to account for varying land cover types.

在分析卫星图像时，面积加权平均分辨率至关重要，以考虑不同土地覆盖类型。

2.Researchers applied the area weighted average resolution method to improve the accuracy of climate models.

研究人员应用面积加权平均分辨率方法提高气候模型的准确性。

3.In geographic information systems, calculating the area weighted average resolution helps in accurately representing data over different spatial extents.

在地理信息系统中，计算面积加权平均分辨率有助于准确表示不同空间范围内的数据。

4.Using the area weighted average resolution allows urban planners to make better decisions based on population density.

使用面积加权平均分辨率使城市规划者能够根据人口密度做出更好的决策。

5.The study utilized the area weighted average resolution to ensure that larger regions had a more significant impact on the final results.

该研究利用了面积加权平均分辨率，以确保较大区域对最终结果有更显著的影响。

作文

In the field of data analysis and geographic information systems (GIS), the concept of area weighted average resolution plays a crucial role in determining the accuracy and relevance of spatial data. This term refers to a method of calculating an average value for a specific area, taking into account the size and significance of different regions within that area. By using this approach, analysts can ensure that their results are not skewed by overly small or large areas that may not represent the whole picture accurately.For instance, consider a scenario where a researcher is studying the average income levels across various neighborhoods in a city. If they simply calculate the average income without considering the population size of each neighborhood, they might reach misleading conclusions. A small neighborhood with a high average income could disproportionately affect the overall average if it is not weighted appropriately. This is where the idea of area weighted average resolution becomes essential, as it allows the researcher to account for the population size of each neighborhood when calculating the average income.Moreover, the application of area weighted average resolution is not limited to socioeconomic studies. It is also widely used in environmental science, urban planning, and resource management. For example, when assessing air quality across a metropolitan area, scientists can use this method to weigh the readings from different monitoring stations based on the area they cover. This ensures that areas with larger populations or more significant environmental impacts contribute more to the overall assessment than smaller or less impactful areas.The importance of area weighted average resolution extends beyond mere calculations; it also influences policy-making and resource allocation. Policymakers rely on accurate data to make informed decisions about where to allocate funding, develop infrastructure, or implement public health initiatives. By employing methods like area weighted average resolution, they can ensure that their decisions are based on comprehensive and representative data, ultimately leading to better outcomes for communities.In conclusion, the concept of area weighted average resolution is vital in various fields that rely on spatial data analysis. It allows researchers and policymakers to derive meaningful insights from complex datasets by ensuring that the influence of different areas is appropriately considered. As we continue to face challenges related to urbanization, environmental sustainability, and social equity, the importance of accurate data representation will only grow. Understanding and applying the principles behind area weighted average resolution will be essential for anyone involved in data-driven decision-making processes, paving the way for more effective strategies and solutions to contemporary issues.

在数据分析和地理信息系统（GIS）领域，面积加权平均分辨率的概念在确定空间数据的准确性和相关性方面发挥着至关重要的作用。这个术语指的是一种计算特定区域平均值的方法，该方法考虑了该区域内不同区域的大小和重要性。通过使用这种方法，分析人员可以确保他们的结果不会因过小或过大的区域而产生偏差，这些区域可能无法准确代表整体情况。例如，考虑一个研究者正在研究城市中各个社区的平均收入水平的场景。如果他们仅仅计算平均收入而不考虑每个社区的人口规模，他们可能会得出误导性的结论。一个小社区的高平均收入如果没有适当加权，可能会对整体平均值产生不成比例的影响。这就是面积加权平均分辨率概念变得至关重要的地方，因为它允许研究人员在计算平均收入时考虑每个社区的人口规模。此外，面积加权平均分辨率的应用不仅限于社会经济研究。它还广泛用于环境科学、城市规划和资源管理。例如，在评估大都市地区的空气质量时，科学家可以使用这种方法根据不同监测站覆盖的区域加权读取数据。这确保了人口较多或环境影响更显著的区域对整体评估的贡献大于较小或影响较小的区域。面积加权平均分辨率的重要性不仅体现在简单的计算上；它还影响政策制定和资源分配。政策制定者依赖准确的数据来做出有关资金分配、基础设施开发或公共卫生倡议的明智决策。通过采用如面积加权平均分辨率的方法，他们可以确保自己的决策基于全面且具有代表性的数据，最终为社区带来更好的结果。总之，面积加权平均分辨率的概念在依赖空间数据分析的各个领域都是至关重要的。它使研究人员和政策制定者能够从复杂的数据集中提取有意义的见解，确保不同区域的影响得到适当考虑。随着我们继续面临与城市化、环境可持续性和社会公平相关的挑战，准确数据表示的重要性只会增加。理解和应用面积加权平均分辨率背后的原则将对任何参与数据驱动决策过程的人来说都是必不可少的，为应对当代问题铺平道路，制定更有效的策略和解决方案。