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相关概念视频

Methods of Obtaining Topography01:25

Methods of Obtaining Topography

63
Topography involves measuring and mapping land elevations, natural features, and artificial structures to create accurate representations of the terrain. Topographic surveying relies on traditional and modern methods, each with distinct advantages and limitations.Traditional Surveying Methods:Transit stadia surveys and plane table surveys were widely used traditional surveying methods. These techniques relied on instruments like theodolites and stadia rods for measuring distances and angles,...
63
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

44
Topographic maps represent the Earth's surface features using contour lines, which connect points of equal elevation to create a two-dimensional representation of three-dimensional terrain. Creating a topographic map requires a systematic approach.Begin by plotting a scaled grid and marking intersections corresponding to the survey's elevation data points. Assign elevation values at these intersections to build the base map. Next, determine contour levels using a consistent contour interval,...
44
Topographic Surveying and Contours01:29

Topographic Surveying and Contours

74
Topographic surveying is critical for documenting the Earth's surface, focusing on capturing elevations, slopes, and natural and man-made features. It is essential in construction planning, water resource management, and land-use analysis. The primary outcome of such surveys is a topographic map, which uses contour lines to visually represent the shape and slope of the terrain, providing valuable insights into the landscape's characteristics.Contour lines are fundamental to understanding the...
74
Manipulation and Analysis01:21

Manipulation and Analysis

23
GIS manipulation and analysis functions are vital for decision-making and planning. These activities range from data retrieval tasks, such as selecting information based on specific criteria, to advanced analytical techniques that address complex spatial problems.One critical GIS analysis method is overlaying, which combines multiple data layers to examine impacts. For example, overlaying a river-dammed lake boundary with road networks can identify affected infrastructure. Another common...
23
Survival Tree01:19

Survival Tree

79
Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
 Building a Survival Tree
Constructing a...
79
Adjusting a Traverse01:12

Adjusting a Traverse

56
In the site survey of a four-sided traverse, internal angles are essential to ensure geometric accuracy. The survey revealed that the sum of the measured internal angles was 359 degrees and 48 minutes, which is 12 minutes less than the expected 360 degrees. This discrepancy signals an error likely arising from measurement inaccuracies during the fieldwork.To rectify this error, the adjustment process involved distributing the 12-minute shortfall equally across the four internal angles. By...
56

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Kinematic History of a Salient-recess Junction Explored through a Combined Approach of Field Data and Analog Sandbox Modeling
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登山者:以拓驱动的视觉分析来比较本地解释.

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    此摘要是机器生成的。

    我们开发了Mountaineer,这是一个使用拓数据分析 (TDA) 来比较机器学习 (ML) 解释的视觉分析工具. 这有助于评估ML模型在关键应用中的透明度和问责制.

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    科学领域:

    • 机器学习 机器学习
    • 数据可视化 数据可视化
    • 拓数据分析 拓数据分析

    背景情况:

    • 在关键应用中越来越多地使用黑盒机器学习 (ML) 模型,需要透明度和问责制.
    • 现有的ML模型的局部可解释性方法由于数据的复杂性和方法的可变性而难以评估和比较.
    • 拓数据分析 (TDA) 提供了一个潜在的解决方案,通过将解释转化为统一的图形表示来进行比较.

    研究的目的:

    • 介绍Mountaineer,一个新的以拓驱动的视觉分析工具,用于分析和比较ML解释.
    • 通过将拓图形连接到数据分布,模型预测和特征归属,使ML解释的交互式探索成为可能.
    • 促进对解释技术和基础数据分布的更深入的洞察,以便对模型行为做出明智的结论.

    主要方法:

    • 利用拓数据分析 (TDA) 将ML属性转换为可比的图形表示.
    • 开发了Mountaineer,这是一个交互式视觉分析工具,用于探索这些拓图.
    • 将拓图形链接回原始数据,模型预测和特征属性,以便进行全面分析.
    • 通过现实数据进行案例研究和专家采访进行评估.

    主要成果:

    • 展示了Mountaineer比较黑子ML解释的能力,并确定方法之间分歧的原因.
    • 展示了该工具在比较和理解不同ML模型中的实用性.
    • 专家采访证实了该工具在获取ML解释和模型行为的洞察力方面的有效性.

    结论:

    • 登山者提供了一个强大的框架来评估和比较使用TDA的ML解释.
    • 该工具通过促进对模型预测的更深入理解,提高了ML中的透明度和问责制.
    • 登山者帮助ML从业者得出关于模型行为和解释技术的有根据的结论.