Ran Tao

Orcid: 0000-0002-4618-1893

Affiliations:
  • University of South Florida, School of Geosciences, Tampa, FL, USA
  • University of Southern California, Trousdale Parkway, Los Angeles, CA, USA (former)
  • University of North Carolina at Charlotte, Department of Geography and Earth Sciences, NC, USA (former)


According to our database1, Ran Tao authored at least 14 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
A space-time flow LISA approach for panel flow data.
Comput. Environ. Urban Syst., December, 2023

Evaluating COVID-19's impacts on Puerto Rican's travel behaviors.
Geo spatial Inf. Sci., October, 2023

Exploring the spatiotemporal relationships between search flows and travel flows.
Trans. GIS, August, 2023

Mapping with ChatGPT.
ISPRS Int. J. Geo Inf., July, 2023

2022
DeepSSN: A deep convolutional neural network to assess spatial scene similarity.
Trans. GIS, 2022

A new urban change detection method based on the local G and local spatial heteroscedasticity statistics.
Trans. GIS, 2022

2020
BiFlowLISA: Measuring spatial association for bivariate flow data.
Comput. Environ. Urban Syst., 2020

Measuring Functional Urban Shrinkage with Multi-Source Geospatial Big Data: A Case Study of the Beijing-Tianjin-Hebei Megaregion.
Remote. Sens., 2020

Boosting Computational Effectiveness in Big Spatial Flow Data Analysis with Intelligent Data Reduction.
ISPRS Int. J. Geo Inf., 2020

Examining spatial accessibility to COVID-19 testing sites in Florida.
Ann. GIS, 2020

2019
Flow Cross K-function: a bivariate flow analytical method.
Int. J. Geogr. Inf. Sci., 2019

2017
flowHDBSCAN: A Hierarchical and Density-Based Spatial Flow Clustering Method.
Proceedings of the 3rd ACM SIGSPATIAL Workshop on Smart Cities and Urban Analytics, 2017

2016
A hybrid approach to modeling territorial control in violent armed conflicts.
Trans. GIS, 2016

2015
Detecting Clustering Scales with the Incremental K-Function: Comparison Tests on Actual and Simulated Geospatial Datasets.
Proceedings of the Information Fusion and Geographic Information Systems, 2015


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