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相关概念视频

Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

24
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...
24
Levels of Use of a GIS01:29

Levels of Use of a GIS

41
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...
41
Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

36
Geographic Information System (GIS) technology is essential for risk identification, action prioritization, and resource optimization in critical situations like flooding and earthquakes. By integrating spatial and demographic data, GIS provides a comprehensive framework for emergency response.GIS integrates data layers, like rainfall intensity, topography, elevation profiles, and river levels, to model high-risk flood zones. These layers assess areas susceptible to flooding based on their...
36
GIS Software, Hardware, and Sources of GIS Data01:23

GIS Software, Hardware, and Sources of GIS Data

39
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...
39
Thematic Layering in GIS01:30

Thematic Layering in GIS

30
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)...
30
Manipulation and Analysis01:21

Manipulation and Analysis

18
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...
18

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地球观测数据的联合和可重复使用的处理.

Matthias Mohr1, Edzer Pebesma2, Jeroen Dries3

  • 1University of Münster, Institute for Geoinformatics, Münster, Germany. m.mohr@uni-muenster.de.

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概括

由于数据量,在多个云中联合处理地球观测数据至关重要. 开放的EO平台提供了一个共同的API,用于简化,重复使用和抽象地访问这些分布式地理空间数据.

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科学领域:

  • 地理空间科学是一个科学领域.
  • 云计算是一种云计算.
  • 数据科学是数据科学.

背景情况:

  • 地球观测 (EO) 和地理空间数据的指数增长需要新的数据分析方法.
  • 在单一的云环境中存储和处理庞大的数据集正在变得不可行.
  • 跨多个云平台的联合处理正在成为一个关键的解决方案.

研究的目的:

  • 介绍大型地理空间数据联合处理的关键概念.
  • 在联合云环境中讨论互操作性方面.
  • 介绍开放的EO平台作为联合地球观测数据处理的解决方案.

主要方法:

  • 利用基于社区的方法来实现联邦处理.
  • 使用openEO,一个通用的应用程序编程接口 (API) 和定义的过程集.
  • 在开放的EO平台上实施联合处理,这是一个公共云基础设施.

主要成果:

  • 展示有效的EO数据联合处理的关键概念.
  • 突出多云地理空间数据访问的互操作性解决方案.
  • 展示开放的EO平台对抽象和简化复杂数据处理的能力.

结论:

  • 联合处理是管理和分析越来越多的地球观测数据的必要范式转变.
  • 开放的EO平台提供了一个强大的,抽象的和可互操作的解决方案,用于在多个云端进行联合的地理空间数据处理.
  • 标准化的API和社区驱动的方法对于使分布式EO数据的有效重复使用和可访问性至关重要.