Ziqi Li

Assistant Professor

Florida State University

United States

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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.

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 (8)

Anahid Basiri

Xi Gong

Sergio Rey

Qunshan Zhao

WEI KANG

Levi Wolf

Mehak Sachdeva

Yan Lin

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