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相关概念视频

Pie Chart01:04

Pie Chart

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A pie chart (or a pie graph) is a circular graphical chart or a pictorial representation of categorical data. It is divided into slices of pie each indicating numerical proportions. It is also used to show the relative sizes of data in a single chart.
In a pie chart, the central angle, the arc length of each slice, and the area are directly proportional to the quantity or percentage it represents. Some real-world examples that can be depicted using pie charts include marks obtained by students...
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Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

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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...
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Multiple Bar Graph01:07

Multiple Bar Graph

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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...
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Bar Graph01:07

Bar Graph

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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...
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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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Levels of Use of a GIS01:29

Levels of Use of a GIS

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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...
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相关实验视频

Updated: Jun 6, 2025

Using Generative Art to Convey Past and Future Climate Transitions
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文化大数据:十九世纪到二十一世纪的全景可视化

Tsz Kin Chau1, Paul Bourke2, Lily Hibberd1

  • 1Laboratory for Experimental Museology, College of Humanities, Digital Humanities Institute, Swiss Federal Polytechnical Institute of Technology (EPFL), Lausanne, Switzerland.

Frontiers in big data
|November 25, 2024
PubMed
概括

这项研究将1894年默顿全景视为数字双胞胎,通过千兆像素成像和用于文化遗产大数据的机器学习来增强沉浸式可视化. 它提供了在交互式数字全景中增强分层叙述的新方法.

关键词:
3D增强是3D增强的方法.在穆尔顿的战斗.大数据就是大数据.文化历史 历史 文化历史数据可视化数据可视化一个千兆像素的图像.媒体考古学 媒体考古学全景全景是一个全景.

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科学领域:

  • 数字遗产是数字遗产的一部分.
  • 计算机视觉 计算机视觉
  • 人与计算机的交互

背景情况:

  • 全景观看策略已经从19世纪绘制的画布演变为1990年代的数字格式,由千兆像素成像,计算机视觉和机器学习放大.
  • 这些策略对于科学分析,传播和可视化文化大数据至关重要,主要是通过创造沉浸的错觉.
  • 沉浸是通过以人为中心的设计在大型环境和多感官体验 (视觉,声音,触觉,嗅觉) 中实现的.

研究的目的:

  • 关于创建1894年默顿全景图的数字双胞胎的原创研究.
  • 描述可视化Murten全景的方法和技术框架.
  • 讨论新的可视化方法来增强沉浸和增强文化大数据中的层次叙述.

主要方法:

  • 关于穆尔顿全景的历史研究.
  • 开发用于千兆像素图像可视化的技术框架.
  • 实现以人为中心的设计和多感官元素,以获得沉浸式体验.
  • 计算机视觉和机器学习技术的应用.

主要成果:

  • 成功创建了一个数字双胞胎的1894年Murten全景.
  • 开发新的可视化方法,用于世界上最大的单一物理物体图像.
  • 在交互式观看体验中增加了多层次的叙事和历史.
  • 通过多感官方法展示增强的沉浸感.

结论:

  • 默顿全景的数字双胞胎提供了一个可视化和增强文化遗产大数据的新模式.
  • 新的可视化策略增强了数字全景中的千兆像素图像沉浸的幻觉.
  • 这项研究为研究人员提供了与遗产大数据和数字全景工作的有价值的方案.