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相关概念视频

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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Plotting of Topographic Maps01:29

Plotting of Topographic Maps

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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,...
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Thematic Layering in GIS01:30

Thematic Layering in GIS

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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)...
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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...
28
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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Noncompartmental Analysis: Mean Residence Time01:05

Noncompartmental Analysis: Mean Residence Time

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According to statistical moment theory, mean residence time (MRT) is an important measure in pharmacokinetics. MRT can be defined as the expected mean of a probability density function distribution. It provides valuable insights into drug disposition in the body.
After the administration of a drug through intravenous bolus injection, the drug molecules are distributed throughout the body and remain there for varying periods. The MRT represents the average time these drug molecules stay in the...
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使用GeoChron可视化大规模的空间时间序列

Zikun Deng, Shifu Chen, Tobias Schreck

    IEEE transactions on visualization and computer graphics
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    此摘要是机器生成的。

    本研究介绍了GeoChron,这是一个用于大型空间时间 (ST) 序列数据的新型可视化. 通过识别和保存ST系列进化模式,GeoChron有效地可视化复杂的时空现象.

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    科学领域:

    • 地理信息科学 地理信息科学
    • 数据可视化 数据可视化
    • 城市信息学 城市信息学
    • 大气科学 大气科学

    背景情况:

    • 大规模的空间时间 (ST) 序列数据对于理解地理等领域的时空现象至关重要.
    • 想象这些复杂的ST系列是具有挑战性的,因为它们的规模,动态和时空性质.
    • 有效的可视化是深入分析时空数据的先决条件.

    研究的目的:

    • 为大型ST系列引入一种新的可视化技术GeoChron.
    • 为了应对可视化动态和大规模时空数据的挑战.
    • 为了使ST系列的模式意识和叙事保存可视化.

    主要方法:

    • 在ST系列中引入了"进化模式"的概念,通过空间接近和时间相关性来定义.
    • 通过在进化模式和数据会话之间绘制类比来利用故事线技术.
    • 设计了GeoChron,采用采矿框架来提取模式,并为可扩展性提供双层可视化.

    主要成果:

    • 通过考虑演化模式,GeoChron有效地可视化大规模的ST系列.
    • 视觉化保留了时间空间现象的叙述.
    • 该系统通过其双层方法展示了视觉可扩展性.
    • 通过案例研究,用户研究和各种分析进行评估.

    结论:

    • GeoChron为可视化大规模空间时间序列数据提供了一种新且有效的解决方案.
    • 模式意识和叙事保存方法增强了对时空现象的理解.
    • GeoChron提供了一个可扩展的可视化方法,用于复杂的地理相关数据分析.