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

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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

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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

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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

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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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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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Hyperlocal environmental data with a mobile platform in urban environments.

An Wang1, Simone Mora2,3, Yuki Machida1

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

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|August 5, 2023
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Summary
This summary is machine-generated.

This study presents hyperlocal environmental data (PM, NO2, temperature, relative humidity) from three global cities to address urban sustainability challenges. The findings support evidence-based decision-making for air quality and environmental policymaking.

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Area of Science:

  • Environmental Science
  • Urban Planning
  • Data Science

Background:

  • High-resolution environmental data is crucial for urban sustainability.
  • Limited access to hyperlocal data hinders effective environmental action.
  • Existing monitoring infrastructure often lacks public accessibility and consistent data quality.

Purpose of the Study:

  • To report calibrated environmental data (PM, NO2, temperature, relative humidity) collected from 2020-2022.
  • To introduce a mobile platform for hyperlocal environmental data collection in global cities.
  • To demonstrate the utility of hyperlocal datasets for evidence-based decision-making in urban environmental challenges.

Main Methods:

  • Designed and deployed a mobile sensing platform in Boston, NYC, and Beirut.
  • Collected environmental data including particulate matter (PM), nitrogen dioxide (NO2), temperature, and relative humidity.
  • Implemented data cleaning, validation, and formatting procedures for collected air quality data.

Main Results:

  • Successfully collected and calibrated hyperlocal environmental data across four deployments in three diverse global cities.
  • Demonstrated the application of the mobile platform for targeted urban environmental issues like air quality and exposure disparities.
  • Provided a framework for utilizing standalone or combined hyperlocal datasets for informed environmental policymaking.

Conclusions:

  • Hyperlocal environmental data is essential for addressing urban sustainability and air quality issues.
  • The developed mobile sensing platform effectively collects and validates critical environmental data.
  • This dataset supports evidence-based decision-making, particularly in data-scarce regions, to improve environmental policies.