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相关概念视频

Levels of Use of a GIS01:29

Levels of Use of a GIS

52
Geographic Information Systems (GIS) operate across three levels of application, each representing an increasing degree of complexity: data management, analysis, and prediction. These levels reflect the expanding functionality and versatility of GIS technology in handling spatial data for diverse purposes.Data ManagementAt its foundational level, GIS serves as a tool for data management, enabling the input, storage, retrieval, and organization of spatial data. This level is often employed in...
52
Bar Graph01:07

Bar Graph

16.5K
A bar graph is also called a bar chart and consists of bars that are separated from each other. It either uses horizontal or vertical bars to show comparisons among categories. The bars can be rectangles, or they can be rectangular boxes (used in three-dimensional plots). One axis of the graph represents the specific categories being compared, and the other axis shows a discrete value. In this graph, the length of the bar for each category is proportional to the number or percent of individuals...
16.5K
Multiple Bar Graph01:07

Multiple Bar Graph

5.2K
As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
5.2K
Review and Preview01:13

Review and Preview

9.0K
Data are individual items of information obtained from a population or sample. Data may be classified as qualitative (categorical), quantitative continuous, or quantitative discrete. Because it is not practical to measure the entire population in a study, researchers use samples to represent the population. A random sample is a representative group from the population chosen by using a method that gives each individual in the population an equal chance of being included in the sample. Random...
9.0K
Time-Series Graph00:54

Time-Series Graph

4.4K
A time-series graph is a line graph with repeated measurements taken at successive intervals of time. It is also called a time series chart. To construct a time-series graph, one must look at both pieces of a paired data set. The horizontal axis is used to plot the time increments, and the vertical axis is used to plot the values of the variable that one is measuring. By using the axes in this way, each point on the graph will correspond to time and a measured quantity. The points on the graph...
4.4K
Manipulation and Analysis01:21

Manipulation and Analysis

26
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...
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相关实验视频

Updated: Jul 8, 2025

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
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Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

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实践中的知识图:描述它们的用户,挑战和可视化机会.

Harry Li, Gabriel Appleby, Camelia Daniela Brumar

    IEEE transactions on visualization and computer graphics
    |December 14, 2023
    PubMed
    概括
    此摘要是机器生成的。

    本研究确定了知识图 (KG) 实践者面临的关键挑战. 改进的可视化设计和定制工具对于增强企业和学术领域的KG创建,分析和采用至关重要.

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    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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    相关实验视频

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    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
    05:47

    Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

    Published on: June 13, 2025

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    A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
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    Facilitating the Analysis of Immunological Data with Visual Analytic Techniques
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    科学领域:

    • 计算机科学 计算机科学
    • 信息科学 信息科学 信息科学
    • 人与计算机的交互

    背景情况:

    • 知识图 (KG) 在企业和学术环境中越来越多地使用.
    • 有效利用KG在创建,探索和分析方面面临挑战.
    • 目前的工具和工作流程不足以满足实际的KG实施需求.

    研究的目的:

    • 识别知识图表从业者面临的关键挑战.
    • 探索可视化设计如何缓解这些挑战.
    • 提出研究方向,以提高KG的可用性.

    主要方法:

    • 采访了19名知识图表从业者.
    • 从企业和学术用例中分析了从业者的见解.
    • 确定了不同的从业者人格及其特定需求.

    主要成果:

    • 确定了三个关键的从业人员:KG建设者,分析师和消费者.
    • 基基构建器需要模式执行器; 基基分析器需要可定制的查询构建器.
    • 消费者受益于超越节点链路图的定制可视化,促进采用和理解.

    结论:

    • 有效的KG实施需要技术和社会解决方案.
    • 可视化研究方向包括知识卡,时间线视图,有机发现接口和语义解释.
    • 通过改进的工具和工作流程来满足从业者的需求,对于推动KG的采用和有效性至关重要.