Space-time Flow LISA for panel flow data. PDF
Modifying LISA statistics to analyze longitudinal data from the absolute perspective. PDF
Flow K-function: a "hot flow" detection method that extracts clusters of individual flows. PDF
Flow Cross K-function: a bivariate flow analytical method that detects spatial dependency between two types of flows. PDF
BiFlowLISA: measuring spatial association for bivariate flow data. PDF
flowHDBSCAN: a hierarchical and density-based flow clustering method. PDF
flowAMOEBA: a bottom-up spatial statistic method for identifying regions of anomalous spatial interactions, based on which it creates a spatial flow weights matrix. PDF
Incremental K-function: a variant of Ripley's K-function that examines how the number of nearby events varies with the increase of distance. PDF
Empirical Studies:
Mapping with ChatGPT: https://doi.org/10.3390/ijgi12070284
Map Reading and Analysis with GPT-4V(ision). https://doi.org/10.3390/ijgi13040127
Barnacles Help Reconstruct Drift Path of Malaysia Airlines Flight MH370
What's the relationship between search flows and travel flows? https://doi.org/10.1111/tgis.13085
Territorial control in civic conflicts: model and visualize territorial control in violent armed conflicts in Sub-Saharan Africa on a hybrid transportation network. The QGIS plugin TerrCtrl is available here.
Space of cellphone calls: extract self-organized communities from location pairs of 45 million cellphone calls.
China Migration Study: investigate the shrinking city phenomena in Northeast China, using the migration flow data sponsored by Baidu Inc.
Motor Vehicle Crime Study: predict the recovery location of the stolen motor vehicles, using crime data sponsored by Charlotte-Mecklenburg Police Department.
High-speed rail in China: assess the spatially unequal accessibility boost brought by high-speed rails.
Project website: https://www.usfgisfood.com/
University of South Florida, lemonGRAFT LLC, and local government agencies and organizations in emergency management and food industry will work together to address food security during natural disasters by developing a GIS-based decentralized digital food platform. The platform uses web mapping and geospatial algorithms to identify surged food demand at the neighborhood level and match it with local food growers and suppliers through the sharing-economy business model. This project will help the community of the Tampa Bay Area by providing a robust solution to healthy food access for pre-disaster preparation and mitigation alternative, with a special consideration of socially vulnerable populations.
PI. Optimizing the Allocation of COVID-19 Testing and Vaccine Resources in Florida.
Paper 1. Spatial optimization of vaccination sites. PDF
Paper 2. Spatial accessibility to testing sites. PDF
CoPI. Restaurant Resiliency Through Digital Communication and Ordering Channels During COVID-19.
CoPI. Spatial-Temporal Prediction Models for COVID-19.
