triangulation

简明释义

英[traɪˌæŋɡjuˈleɪʃn]美[traɪˌæŋɡjuˈleɪʃn]

n. [测] 三角测量；三角形划分

英英释义

单词用法

同义词

反义词

例句

1.In order to perform effective triangulation, the technology of tetrahedron-based triangulation of scattered dada was adopted.

为了实现有效的三角剖分，采用了基于空间体的散乱数据点的三角剖分技术。

2.A heuristic strategy is presented to solve the point location problem in spherical triangulation mesh.

提出了一种适用于球面三角形网格的启发式点定位策略。

3.The triangulation method with using a laser is the most widely-used one in this area.

激光三角法测量原理是目前光学测量应用最广泛的方法之一。

4.This is to use PHP to achieve triangle localization algorithm, including the training of the triangulation algorithm.

说明：这个是用php实现的三角定位算法，其中还包括三角定位的训练算法。

5.The application of PSD in optical triangulation is described emphatically.

着重论述了PSD在光学三角测量中的具体应用；

6.Analysis of radiation in 1963, proposed triangulation method is the first one to write specification invented by the Chinese approach.

1963年提出的解析辐射三角测量方法，是写入规范的第一个中国人发明的方法。

7.The surveyor used triangulation to determine the exact location of the new building site.

测量员使用三角测量来确定新建筑地点的确切位置。

8.In navigation, triangulation helps sailors find their position using multiple reference points.

在导航中，三角测量帮助水手通过多个参考点找到他们的位置。

9.The researcher applied triangulation in his study to enhance the validity of his findings.

研究人员在他的研究中应用了三角验证以增强研究结果的有效性。

10.The concept of triangulation is vital in geographical information systems for mapping.

在地理信息系统中，三角测量的概念对于制图至关重要。

11.Using triangulation, the team was able to pinpoint the source of the signal accurately.

通过使用三角定位，团队能够准确找出信号源。

作文

In the field of research and data analysis, the concept of triangulation plays a crucial role in enhancing the validity and reliability of findings. Triangulation refers to the use of multiple methods or data sources to study a phenomenon. By combining different perspectives, researchers can obtain a more comprehensive understanding of the subject at hand. This approach is particularly important in qualitative research, where the complexity of human behavior and social phenomena cannot be fully captured by a single method. For instance, consider a study aimed at exploring the impact of remote work on employee productivity. A researcher might begin by conducting interviews with employees to gather personal insights and experiences regarding their productivity levels while working from home. However, relying solely on interviews could lead to biased conclusions based on individual perceptions. To address this, the researcher could also employ surveys to collect quantitative data on productivity metrics, such as output and hours worked. This combination of qualitative and quantitative methods exemplifies triangulation, allowing for a richer analysis of the situation.Furthermore, triangulation can also involve using different theoretical frameworks to interpret data. For example, a researcher studying educational outcomes might apply both sociological and psychological theories to better understand the factors influencing student performance. By viewing the data through multiple lenses, the researcher can identify patterns and correlations that may not be evident when using a single theoretical perspective.In addition to improving the depth of analysis, triangulation can also enhance the credibility of research findings. When multiple sources or methods converge on similar conclusions, the results gain greater trustworthiness. For example, if both qualitative interviews and quantitative surveys indicate that remote work has led to increased productivity, stakeholders are more likely to accept these findings as valid. This is especially important in fields like public policy, where decisions must be based on reliable evidence.Moreover, triangulation is not limited to research alone; it can also be applied in everyday decision-making. For instance, when purchasing a new car, a consumer might consult multiple sources of information, such as online reviews, expert opinions, and personal recommendations from friends. By gathering diverse viewpoints, the consumer can make a more informed choice, minimizing the risk of buyer's remorse.In conclusion, triangulation is a powerful strategy that enhances both research quality and decision-making processes. By integrating multiple methods, data sources, or theoretical frameworks, researchers and individuals alike can achieve a more nuanced understanding of complex issues. As we navigate an increasingly intricate world, the ability to synthesize diverse perspectives will be invaluable in making informed choices and advancing knowledge in various fields. Ultimately, the practice of triangulation underscores the importance of looking beyond a single viewpoint and embracing the richness that comes from multiple angles of inquiry. In summary, triangulation (三角测量) 是一种通过多种方法或数据源研究现象的技术，它在提高研究有效性和可靠性方面起着至关重要的作用。通过结合不同的视角，研究人员可以获得更全面的理解，从而在复杂的社会现象中做出更明智的决策。

在研究和数据分析领域，triangulation（三角测量）的概念在增强研究结果的有效性和可靠性方面发挥着至关重要的作用。Triangulation指的是使用多种方法或数据来源来研究现象。通过结合不同的视角，研究人员可以对所研究的主题获得更全面的理解。这种方法在定性研究中特别重要，因为人类行为和社会现象的复杂性无法通过单一方法完全捕捉。例如，考虑一个旨在探讨远程工作对员工生产力影响的研究。研究者可能首先与员工进行访谈，以收集个人对在家工作时生产力水平的见解和经验。然而，仅依赖访谈可能会导致基于个人感知的偏见结论。为了解决这个问题，研究者还可以使用调查问卷收集关于生产力指标的定量数据，例如产出和工作小时数。这种定性和定量方法的结合体现了triangulation，使得对情况的分析更加丰富。此外，triangulation还可以涉及使用不同的理论框架来解释数据。例如，研究教育成果的研究者可能会同时应用社会学和心理学理论，以更好地理解影响学生表现的因素。通过从多个角度观察数据，研究者可以识别出在使用单一理论视角时可能不明显的模式和相关性。除了提高分析的深度外，triangulation还可以增强研究结果的可信度。当多个来源或方法得出的结论一致时，结果的可信度就会增加。例如，如果定性访谈和定量调查都表明远程工作导致生产力提高，那么利益相关者更有可能接受这些结果作为有效的。这在公共政策等领域尤为重要，因为决策必须基于可靠的证据。此外，triangulation不仅限于研究；它也可以应用于日常决策。例如，在购车时，消费者可能会咨询多种信息来源，例如在线评论、专家意见和朋友的个人推荐。通过收集多样的观点，消费者可以做出更明智的选择，减少购买后的懊悔风险。总之，triangulation是一种增强研究质量和决策过程的强大策略。通过整合多种方法、数据来源或理论框架，研究人员和个人都可以对复杂问题获得更细致的理解。随着我们在一个日益复杂的世界中导航，合成多元视角的能力在做出明智选择和推动各个领域的知识进步方面将是无价的。最终，triangulation的实践突显了超越单一视角的重要性，并拥抱来自多种探究角度所带来的丰富性。