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Ziqi Li

Assistant Professor

Florida State University

United States

Research Interests

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About

Dr. Ziqi Li is an Assistant Professor at Florida State University in the United States. His research areas include geospatial data analysis, geographic information systems, and machine learning applications in environmental science. Recent publications focus on topics such as spatial reliability measures, geospatial explainable AI, and optimizing urban agriculture access.

Articles (19)

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Collaborators (12)

Anahid Basiri

University of Glasgow

UNITED KINGDOM

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Xi Gong

Associate Professor

Pennsylvania State University

UNITED STATES

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Sui Zhang

Postgraduate Researcher

The University of Manchester

UNITED KINGDOM

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Liqiu Meng

Technical University of Munich

GERMANY

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Zehua Zhang

Spatial Data Scientist

Curtin University

AUSTRALIA

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Sergio Rey

Professor

San Diego State University

UNITED STATES

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Qunshan Zhao

Senior Lecturer in Urban Analytics

University of Glasgow

UNITED KINGDOM

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WEI KANG

Assistant Professor

University of North Texas

UNITED STATES

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Levi Wolf

Senior Lecturer

University of Bristol

UNITED KINGDOM

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Mehak Sachdeva

Assistant Professor of Urban Science

Florida State University

UNITED STATES

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Tao Hu

Assistant Professor in GIS and GeoHealth

Oklahoma State University

UNITED STATES

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Yan Lin

University of New Mexico

UNITED STATES

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Ziqi Li

Research Interests

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About

Articles (19)

Exploring a Diagnostic Test for Missingness at Random

Geographically Weighted Cronbach's Alpha (GWalpha): An Exploratory Local Measure of Reliability for Scale Construction

Measuring univariate effects in the interaction of geographical patterns

GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data

Revealing key factors of heat-related illnesses using geospatial explainable AI model: A case study in Texas, USA

SAPC: A New Overland Flow Accumulation Algorithm With Enhanced Adaptability to Terrain Surface Variations

On ignoring the heterogeneity in spatial autocorrelation: consequences and solutions

GeoShapley: A Game Theory Approach to Measuring Spatial Effects in Machine Learning Models

Understanding public perspectives on fracking in the United States using social media big data

Measuring the Unmeasurable: Models of Geographical Context

Leveraging explainable artificial intelligence and big trip data to understand factors influencing willingness to ridesharing

Equalizing urban agriculture access in Glasgow: A spatial optimization approach

The PySAL Ecosystem: Philosophy and Implementation

On the notion of ‘bandwidth’ in geographically weighted regression models of spatially varying processes

The spatial and temporal dynamics of voter preference determinants in four U.S. presidential elections (2008–2020)

Are We Modelling Spatially Varying Processes or Non-linear Relationships?

Do Places Have Value?: Quantifying the Intrinsic Value of Housing Neighborhoods Using MGWR

Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost

Understanding the interaction between human activities and physical health under extreme heat environment in Phoenix, Arizona

Collaborators (12)

Anahid Basiri

Xi Gong

Sui Zhang

Liqiu Meng

Zehua Zhang

Sergio Rey

Qunshan Zhao

WEI KANG

Levi Wolf

Mehak Sachdeva

Tao Hu

Yan Lin

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