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Levels of Use of a GIS01:29

Levels of Use of a GIS

72
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...
72
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...
95
Selected Data About Geographic Locations01:25

Selected Data About Geographic Locations

49
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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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

113
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...
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Introduction to GIS01:28

Introduction to GIS

100
Geographic Information Systems (GIS) are tools for storing, analyzing, and displaying spatial data alongside related attributes. Unlike traditional information systems that address general queries, GIS incorporates spatial components, enabling users to answer "where" and "how far." For example, GIS can process housing data linked to geographic locations like zip codes, allowing insights into population density or housing distribution through thematic maps.GIS integrates technologies such as...
100
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

125
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
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相关实验视频

Updated: Jul 23, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
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Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data

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在智能城市中,smashHitCore Ontology 提供了符合GDPR的传感器数据共享.

Anelia Kurteva1,2, Tek Raj Chhetri1, Amar Tauqeer1,3

  • 1Semantic Technology Institute (STI), Department of Computer Science, Universität Innsbruck, 6020 Innsbruck, Austria.

Sensors (Basel, Switzerland)
|July 14, 2023
PubMed
概括

该 smashHitCore 实体学统一了通用数据保护条例 (GDPR) 的法律基础,如智能城市和保险数据共享的同意和合同. 它解决了各种数据类型和来源符合规定的表现方面的挑战.

关键词:
这就是为什么GDPR是GDPR.同意同意同意同意同意同意同意同意合同 合同 合同 合同 合同 合同 合同 合同 合同分享数据的数据共享.保险保险的保险是什么意思在本体论上,本体论是存在的.传感器 传感器 传感器智慧城市的智慧城市

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相关实验视频

Last Updated: Jul 23, 2025

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科学领域:

  • 数据科学数据科学数据科学
  • 信息科学 信息科学 信息科学
  • 法律信息学 法律信息学

背景情况:

  • 一般数据保护条例 (GDPR) 的采用造成了数据处理的转变.
  • 现有的GDPR本体学主要是模型同意,缺乏对其他法律基础 (如合同) 的全面代表.
  • 合同表示的多个本体的结合导致知识不一致.

研究的目的:

  • 介绍smashHitCore本体论,这是GDPR法律基础的统一模型.
  • 为应对在语义上表示GDPR同意和合同基础与相关数据类型和来源的挑战.
  • 为了促进智能城市和保险领域的合规数据共享.

主要方法:

  • 开发了smashHitCore本体学,以模拟同意和合同的法律基础.
  • 传感器数据和数据处理在本体学中的集成表示.
  • 响应了保险 (联网汽车) 和智能城市 (反系统) 的现实使用案例.

主要成果:

  • smashHitCore本体论为GDPR法律基础和相关数据提供了一个连贯的模型.
  • 在联网汽车保险场景中成功启用了符合GDPR的数据共享.
  • 在智能城市反系统中促进了符合GDPR的数据共享.

结论:

  • 该 smashHitCore 实体学提供了一个统一的解决方案,用于表示不同的GDPR 法律基础.
  • 它有效地支持复杂的,现实世界的应用程序中符合GDPR的数据共享.
  • 通过整合多个法律基础和数据方面来解决现有本体学的局限性.