dimension scale

简明释义

尺寸比例尺

英英释义

例句

1.When creating maps, a consistent dimension scale 维度比例 helps maintain geographical accuracy.

在制作地图时，一致的dimension scale 维度比例有助于保持地理准确性。

2.Understanding the dimension scale 维度比例 is crucial for accurate modeling in 3D software.

理解dimension scale 维度比例对于在3D软件中进行准确建模至关重要。

3.For the video game design, we chose a dimension scale 维度比例 that reflects real-world physics.

在视频游戏设计中，我们选择了一个反映现实物理的dimension scale 维度比例。

4.The dimension scale 维度比例 used in this graph allows for easy comparison of data points.

此图表中使用的dimension scale 维度比例便于数据点的比较。

5.In our latest project, we decided to use a dimension scale 维度比例 of 1:100 for the architectural drawings.

在我们最新的项目中，我们决定在建筑图纸中使用1:100的dimension scale 维度比例。

作文

In the field of mathematics and science, the concept of a dimension scale is crucial for understanding the relationships between different quantities and their representations. A dimension scale refers to the way in which dimensions are measured and represented, particularly in graphs and models. This idea is not only applicable to physical dimensions such as length, width, and height but also extends to abstract concepts like time and probability. Understanding dimension scale allows us to interpret data more effectively and make informed decisions based on that data.For instance, when we create a graph to represent the growth of a plant over time, we need to establish a dimension scale for both the x-axis and y-axis. The x-axis might represent time in days, while the y-axis could represent the height of the plant in centimeters. If the dimension scale is not appropriately set, it can lead to misinterpretations of the data. A small change in height might appear significant if the scale is too compressed, or a large growth might seem trivial if the scale is too expansive.Moreover, the dimension scale is essential in various fields such as architecture, engineering, and computer graphics. In architecture, for example, blueprints require precise dimension scales to ensure that the buildings are constructed accurately. An incorrect dimension scale can result in structural failures or safety hazards. Similarly, in computer graphics, the dimension scale affects how objects are rendered in a three-dimensional space. Designers must carefully consider the dimension scale to create realistic models that behave correctly in virtual environments.In the realm of statistics, the dimension scale plays a pivotal role in data analysis. Different types of data require specific dimension scales to convey the right information. For example, nominal data, which categorizes without a specific order, uses a different dimension scale than ordinal data, which has a clear order but no fixed intervals. Interval and ratio data, which involve numerical values, require yet another approach to dimension scale. Understanding these distinctions is vital for accurately interpreting statistical results and drawing valid conclusions.Furthermore, in everyday life, we encounter dimension scales in various forms. From maps that use a scale to represent distances accurately to recipes that require precise measurements, the importance of dimension scale cannot be overstated. It helps us navigate our world, whether we are planning a trip, cooking a meal, or analyzing trends in data.In conclusion, the concept of dimension scale is integral to many disciplines and aspects of life. It enhances our ability to understand and communicate complex information clearly and accurately. By mastering the principles of dimension scale, we can improve our analytical skills and make better decisions based on the data we encounter. Ultimately, whether in science, art, or daily activities, the dimension scale serves as a foundational tool that shapes our understanding of the world around us.

在数学和科学领域，dimension scale 的概念对于理解不同量之间的关系及其表现至关重要。dimension scale 指的是测量和表示维度的方式，特别是在图表和模型中。这一理念不仅适用于物理维度，如长度、宽度和高度，还扩展到时间和概率等抽象概念。理解 dimension scale 使我们能够更有效地解读数据，并根据这些数据做出明智的决策。例如，当我们创建一个图表来表示植物随时间的生长时，我们需要为x轴和y轴建立一个 dimension scale。x轴可能表示以天为单位的时间，而y轴则可以表示植物的高度，以厘米为单位。如果 dimension scale 设置不当，可能会导致对数据的误解。若比例过于压缩，小的高度变化可能看起来显著；而如果比例过于扩展，大的生长变化可能显得微不足道。此外，dimension scale 在建筑、工程和计算机图形学等多个领域中也至关重要。例如，在建筑设计中，蓝图需要精确的 dimension scale 以确保建筑物的准确施工。不正确的 dimension scale 可能导致结构失败或安全隐患。同样，在计算机图形学中，dimension scale 影响物体在三维空间中的渲染。设计师必须仔细考虑 dimension scale ，以创建在虚拟环境中正确行为的逼真模型。在统计学领域，dimension scale 在数据分析中发挥着关键作用。不同类型的数据需要特定的 dimension scale 来传达正确的信息。例如，名义数据（没有特定顺序的分类）使用与有序数据（有明确顺序但没有固定间隔）不同的 dimension scale。间隔数据和比率数据（涉及数值）又需要另一种 dimension scale 方法。理解这些区别对于准确解读统计结果和得出有效结论至关重要。此外，在日常生活中，我们以各种形式遇到 dimension scale 。从使用比例准确表示距离的地图到需要精确测量的食谱，dimension scale 的重要性无法被低估。它帮助我们导航我们的世界，无论是计划旅行、烹饪，还是分析数据趋势。总之，dimension scale 的概念对于许多学科和生活的各个方面都是不可或缺的。它增强了我们理解和清晰、准确地传达复杂信息的能力。通过掌握 dimension scale 的原则，我们可以提高分析技能，并基于我们遇到的数据做出更好的决策。最终，无论是在科学、艺术还是日常活动中，dimension scale 都作为塑造我们对周围世界理解的基础工具。