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相关概念视频

Thematic Layering in GIS01:30

Thematic Layering in GIS

35
In the past, planning projects such as schools or public facilities required extensive manual effort to gather and compile data. Information such as property boundaries, soil characteristics, road networks, zoning regulations, and flood zones had to be sourced individually from courthouses, utility providers, and registry offices. Assembling these datasets into a coherent format often took several months, delaying project timelines.The introduction of Geographic Information Systems (GIS)...
35
Levels of Use of a GIS01:29

Levels of Use of a GIS

46
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...
46
Plotting of Topographic Maps01:29

Plotting of Topographic Maps

39
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,...
39
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

27
Geographic Information Systems (GIS) rely on two core types of data: spatial data and attribute data.Spatial DataSpatial data defines the physical location of features within a coordinate system, typically expressed in terms of latitude and longitude. It provides precise positioning for elements like roads, rivers, or buildings.Attribute DataAttribute data complements spatial data by adding descriptive information about these features. For example, a road's spatial data includes its start and...
27
Causality in Epidemiology01:21

Causality in Epidemiology

352
Causality or causation is a fundamental concept in epidemiology, vital for understanding the relationships between various factors and health outcomes. Despite its importance, there's no single, universally accepted definition of causality within the discipline. Drawing from a systematic review, causality in epidemiology encompasses several definitions, including production, necessary and sufficient, sufficient-component, counterfactual, and probabilistic models. Each has its strengths and...
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Time-Series Graph00:54

Time-Series Graph

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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...
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相关实验视频

Updated: Jun 16, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Published on: February 25, 2013

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可视化多层的时空流行病学数据,使用动画地质圈.

Brian Ondov1, Harsh B Patel2, Ai-Te Kuo3

  • 1Department of Biomedical Informatics & Data Science, Yale School of Medicine, New Haven, CT 06510, United States.

Journal of the American Medical Informatics Association : JAMIA
|August 21, 2024
PubMed
概括
此摘要是机器生成的。

视觉分析工具现在可以使用动画,时空数据显示多个COVID-19趋势. 这种新方法,CoronaViz,是非专家的首选,有助于流行病学家了解复杂的疾病爆发.

关键词:
在 COVID-19 疫情中,数据可视化数据可视化流行病学流行病学地理信息系统 (GIS) 是一个地理信息系统.

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科学领域:

  • 地理信息系统 (GIS) 是指地理信息系统.
  • 流行病学 流行病学
  • 数据可视化 数据可视化

背景情况:

  • 随着COVID-19的爆发,人们更加需要有效的地理空间视觉分析技术.
  • 现有的系统难以表示多个交互,交互,时间变化的地理空间变量.
  • 了解疾病传播需要分析复杂的时空数据.

研究的目的:

  • 调查流行病学家如何与视觉分析工具互动.
  • 为多个时间变化的地理空间变量开发一个统一的视图.
  • 评估复杂的时空编码对专家和非专家的有用性.

主要方法:

  • 提出了一种编码方法,使用带有色彩编码的动画,同心,空心圆圈.
  • 开发了CoronaViz,这是一个基于浏览器的工具,实现了这种方法.
  • 与非专家进行了基于任务的评估,并采访了流行病学家.

主要成果:

  • 流行病学家证实了对多变量,时空查询的需求,并发现CoronaViz有用.
  • 非专家更喜欢动画,而不是多视图仪表板用于时空查询.
  • 动画编码有效地传达了多个变量,没有阻塞.

结论:

  • 传递复杂的多变量数据涉及权衡,需要互补的可视化策略.
  • 动画的多变量时空编码解决了对数据探索和呈现的关键需求.
  • CoronaViz使专家和公众对未来的疾病爆发有能力,并且可以开源.