Bin Zhang

Orcid: 0000-0003-1461-660X

Affiliations:
  • Wuhan University, School of Resource and Environmental Sciences, China


According to our database1, Bin Zhang authored at least 7 papers between 2019 and 2024.

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

Timeline

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Bibliography

2024
A methodology to Geographic Cellular Automata model accounting for spatial heterogeneity and adaptive neighborhoods.
Int. J. Geogr. Inf. Sci., April, 2024

2023
Early Warning of the Carbon-Neutral Pressure Caused by Urban Agglomeration Growth: Evidence from an Urban Network-Based Cellular Automata Model in the Greater Bay Area.
Remote. Sens., January, 2023

A methodology to quantify the neighborhood decay effect of urban cellular automata models.
Int. J. Geogr. Inf. Sci., 2023

2022
The effects of sample size and sample prevalence on cellular automata simulation of urban growth.
Int. J. Geogr. Inf. Sci., 2022

2020
Analyzing the effects of stochastic perturbation and fuzzy distance transformation on Wuhan urban growth simulation.
Trans. GIS, 2020

Using a maximum entropy model to optimize the stochastic component of urban cellular automata models.
Int. J. Geogr. Inf. Sci., 2020

2019
Modeling urban growth in a metropolitan area based on bidirectional flows, an improved gravitational field model, and partitioned cellular automata.
Int. J. Geogr. Inf. Sci., 2019


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