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相关概念视频

Coordinates and Map Projections01:29

Coordinates and Map Projections

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Coordinates and map projections are essential tools in accurately representing the Earth's surface for various applications, ranging from navigation to spatial analysis. The latitude and longitude coordinate system is a universally recognized framework for defining locations. Latitude specifies the distance of a point north or south of the equator, measured in degrees from 0° at the equator to 90° at the poles. Longitude indicates a location's position east or west of the prime meridian,...
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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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Geoid and Ellipsoid01:28

Geoid and Ellipsoid

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The Earth's shape is best described as an ellipsoid, a slightly flattened sphere created by rotating an ellipse around its minor axis. This flattening results in the polar axis being about 21 kilometers shorter than the equatorial axis. In contrast, the geoid represents the Earth's gravitational shape and aligns with the mean sea level (MSL). The geoid is an irregular equipotential surface where gravity is perpendicular at every point. Variations in Earth's mass distribution cause geoid...
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GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

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A Geographic Information System (GIS) combines specialized software and hardware to effectively manage, analyze, and present spatial and related data. GIS software includes critical functionalities such as a user interface for easy navigation, database management tools for handling spatial and attribute data, and data retrieval features for efficient access. Analytical tools transform raw data into insights, while display functions produce maps and reports in various formats for effective...
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Manipulation and Analysis01:21

Manipulation and Analysis

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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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Area Computation by the Alternative Coordinate Method01:24

Area Computation by the Alternative Coordinate Method

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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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相关实验视频

Updated: Jan 13, 2026

Using Generative Art to Convey Past and Future Climate Transitions
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关于解决气候模型输出和其他地理空间数据集中的坐标问题.

Clément Cherblanc1,2, Jeppe Peder Grejs Petersen1,2, Fredrick Bunt3

  • 1National Center for Climate Research, Danish Meteorological Institute, Copenhagen, 2100, Denmark.

Open research Europe
|January 8, 2026
PubMed
概括

本研究提出了简化区域气候模型 (RCM) 数据以方便使用的方法. 使用Python和气候数据运营商 (CDO) 后处理RCM输出可以提高气候科学应用的可访问性.

关键词:
在南极洲,南极洲是南极洲.在北极,北极的北极.首席执行官 (CDO) 的职责是:区域气候模型的区域气候模型.在重新调整的过程中.在Xarray中,Xarray就是Xarray.

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科学领域:

  • 气候科学 气候科学
  • 地理空间分析的研究.
  • 数据科学数据科学数据科学

背景情况:

  • 区域气候模型 (RCM) 的输出往往缺乏完整的坐标系元数据,使地理空间分析复杂化.
  • 局限域的RCM,特别是在极地地区,经常使用旋转网格,增加了复杂性.
  • 标准工具需要文件元数据中的坐标参考系统,这在RCM数据中往往是缺失或不一致的.

研究的目的:

  • 为区域气候模型 (RCM) 输出提供可访问的后处理方法.
  • 为了简化气候和相关科学非专家的RCM数据的使用.
  • 为了更容易地将RCM数据集成到地理信息系统 (GIS) 和基于Python的分析工作流中.

主要方法:

  • 开发了两个RCM数据的后处理技术.
  • 使用了免费和广泛可用的软件:Python和气候数据运营商 (CDO).
  • 演示了在其原生网格上读取RCM数据或将其重新样本到具有地理坐标的正规网格上的方法.

主要成果:

  • 成功地使RCM输出更容易为非专家处理.
  • 使RCM数据能够在没有插值或再投影的情况下被正确地读取,或重新采样到正规的网格.
  • 便于在GIS和Python库中使用RCM数据,例如xarray用于分析和可视化.

结论:

  • 使用Python和CDO对RCM输出的后处理显著提高了数据的可用性.
  • 这些方法弥合了复杂气候模型数据和实际科学应用之间的差距.
  • 增强的数据可访问性支持在气候研究,地理信息系统和数据分析中更广泛的使用.