Sui Zhang

Sui Zhang
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Sui verified their affiliation via an institutional email.
Verified
Sui verified their affiliation via an institutional email.
  • MRes(soc) BSc
  • PhD Student at The University of Manchester

About

7
Publications
1,161
Reads
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18
Citations
Introduction
My current research interests mainly focus on 1) the development of spatially and spatiotemporally explicit statistical methods and 2) the geographies of health and wellbeing in urban contexts.
Current institution
The University of Manchester
Current position
  • PhD Student
Education
August 2023
University of Manchester
Field of study
  • Planning and Environmental Management
August 2022 - November 2023
University of Glasgow
Field of study
  • Urban Research
August 2018 - June 2022
Shandong Normal University
Field of study
  • Geographic Science

Publications

Publications (7)
Conference Paper
Full-text available
Understanding the heterogeneity of spatial processes is essential for spatial analysis, as existing methods are often limited in model complexity, flexibility and interpretability. In this paper, we proposed SKATER Additive Learner (SKATERAL), a method for delineating covariate-specific endogenous spatial regimes. SKATERAL extends the recently intr...
Conference Paper
Full-text available
Scale, context, and heterogeneity have been central issues in geography. From a quantitative standpoint, accurately identifying the scale and context at which geographical processes operate and capturing their spatial heterogeneity have been challenging tasks. Despite various prominent developments in spatial modeling literature, there is a lack of...
Conference Paper
Full-text available
As individual's cognitions and behaviours are affected by where they live, the reliability of responses to tests or scales may vary with location. In this paper, we develop a local version of Cronbach's alpha, geographically weighted Cronbach's alpha, to investigate how the reliability of the measure varies spatially. Two demonstrations of explorat...
Article
Full-text available
From the onset of the COVID-19 pandemic in 2020, studies on the microgeographies of epidemics have surged. However, studies have neglected the significant impact of multiple spatiotemporal units, such as report timestamps and spatial scales. This study examines three cities with localized COVID-19 resurgence after the first wave of the pandemic in...
Article
Full-text available
The frequent occurrence of local COVID-19 today gives a strong necessity to better understand the effects of "source-case" distance and gathering places, which are often considered to be the key factors of the localized spatial clustering of an epidemic. In this study, the localized spatial clustering of COVID-19 cases, which originated in the Xinf...
Article
Full-text available
Risk assessments for COVID-19 are the basis for formulating prevention and control strategies, especially at the micro scale. In a previous risk assessment model, various “densities” were regarded as the decisive driving factors of COVID-19 in the spatial dimension (population density, facility density, trajectory density, etc.). However, this conc...

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