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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...
49
Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device01:30

Design Example: Identifying the Locations of Monuments in the Field Using Global Positioning System Device

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Surveyors use Global Positioning System (GPS) technology to measure the precise location and elevation of points on Earth. In a recent survey, GPS receivers were used to determine the coordinates and elevations of two park monuments. The process involved careful mission planning, data collection, and correction to ensure accuracy. The survey began with mission planning to identify optimal satellite visibility and minimize Position Dilution of Precision (PDOP). A geodetic control point...
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Field Application of Global Positioning System01:28

Field Application of Global Positioning System

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The Global Positioning System (GPS) has become an indispensable tool in fieldwork, offering unparalleled precision and efficiency for surveying, navigation, and infrastructure development. By harnessing signals from a constellation of satellites, GPS receivers determine the location of objects with remarkable speed and accuracy, often completing calculations within a second.Advantages of Modern GPS TechnologyContemporary GPS receivers are designed to meet the practical demands of field...
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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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Applications of GIS: Disaster Management and Emergency Response01:29

Applications of GIS: Disaster Management and Emergency Response

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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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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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相关实验视频

Updated: Jul 20, 2025

Methodology for Establishing a Community-Wide Life Laboratory for Capturing Unobtrusive and Continuous Remote Activity and Health Data
11:21

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

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在城市环境中使用移动平台的超局部环境数据.

An Wang1, Simone Mora2,3, Yuki Machida1

  • 1Senseable City Lab, Department of Urban Studies and Planning, Massachusetts Institute of Technology, Cambridge, USA.

Scientific data
|August 5, 2023
PubMed
概括

本研究介绍了来自全球三个城市的超局部环境数据 (PM,NO2,温度,相对湿度),以应对城市可持续性挑战. 这些发现支持基于证据的空气质量和环境政策制定决策.

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科学领域:

  • 环境科学 环境科学
  • 城市规划 城市规划
  • 数据科学数据科学数据科学

背景情况:

  • 高分辨率的环境数据对于城市的可持续性至关重要.
  • 对超局部数据的有限访问阻碍了有效的环境行动.
  • 现有的监控基础设施往往缺乏公众可访问性和一致的数据质量.

研究的目的:

  • 报告从2020-2022年收集的校准环境数据 (PM,NO2,温度,相对湿度).
  • 引入一个移动平台,用于全球城市的超局部环境数据收集.
  • 为了证明超局部数据集在城市环境挑战中基于证据的决策的实用性.

主要方法:

  • 在波士顿,纽约和贝鲁特设计和部署了一个移动传感平台.
  • 收集的环境数据包括颗粒物 (PM),二氧化 (NO2),温度和相对湿度.
  • 对收集的空气质量数据实施数据清理,验证和格式化程序.

主要成果:

  • 在全球三个不同城市的四个部署中成功收集和校准了超局部环境数据.
  • 展示了移动平台的应用,以解决有针对性的城市环境问题,如空气质量和暴露差异.
  • 为利用独立或组合的超本地数据集提供了一个框架,用于明智的环境政策制定.

结论:

  • 超局部环境数据对于解决城市可持续性和空气质量问题至关重要.
  • 开发的移动传感平台有效地收集和验证关键的环境数据.
  • 这一数据集支持基于证据的决策,特别是在数据稀缺的地区,以改善环境政策.