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Yun Liu, University of Chicago

Mentor: Yongze Song, Curtin University

2024-09-28

The Impact of environment and infrastructure on migration patterns

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Background

Personal Information

  • Personal Information
    • Name: Yun Liu
    • Major: Computer Science & Environmental Engineering

University of Chicago, Chicago, USA, MS

• Email: Summer.Yun.Liu@outlook.com

  • Research Topic
    • Mentor: Prof. Yongze Song
    • Topic: Spatiotemporal prediction of the impact of climate extremes on sensitive populations

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Background

Research Topic & Background

  • Research Topic
    • Climate Change
    • Climate Extremes
    • Vulnerable People
    • Social Determinants & Environmental Factors

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Backgrounds

Research Area: Focusing on New York State

    • New York State (NY)
    • Population: 19,680,000
    • Area: 141,300 km2

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Data Collection

Data Resources and calculation

  • Climate Data
    • Raw data: Daily climate data (Temp, Rainfall etc) at the U.S. zip code level from 2001 to 2020
    • Source: PRISM Group
    • Process:
      • Cold Wave: The 10% of the distribution of min temp in 2001-2020
      • Heavy Rain: Daily precipitation exceeds 50 mm (about 2 inches) in a single day.
  • Disability Data
    • Raw data: Yearly disability population and percentage at the U.S. zip code level from 2012 to 2020
    • Source: U.S. Census Bureau

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Data Collection

Data Resources and calculation

  • Other Influential Factors
    • Raw data: Annual local income, education and vehicles accessibility bracket data at the U.S. zip code level from 2012 to 2020
    • Source: U.S. Census Bureau
    • Process:

Use the local median to represent the income, education and vehicles accessibility level of the ZIP code

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Vulnerable Population Changes

Population changes for vulnerable population

2012

2014

2016

2018

2020

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MGWR Model Fitting

Introduction of Geocomplexity Algorithms

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MGWR Model Fitting

Introduction of Geocomplexity Algorithms

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2012

2014

2016

2018

2020

Climate Impacts

Cold wave– disability population: MGWR Beta analysis

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Climate Impacts

Heavy rain – disability population: MGWR Beta analysis

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Next Steps

Summarize

    • The analysis of geocomplexity
    • Complete the research
    • Manuscript Writing

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    • Geo-software development

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Internship Gains

Summarize

    • Knowledge of Spatial Data Analysis and geography research.
    • Polished scientific programming skills and cloud computing (GCP and AWS).
    • Workflow of KNIME, spatial model software (MGWR, GeoDa) and ArcGIS by SDL workshop and mentor’s group meeting

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YUN LIU

2024-09-28

INTERNSHIP REPORT

THANKS!