Minxuan Lan

According to our database, Minxuan Lan authored at least 12 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Capturing the spatial arrangement of POIs in crime modeling.

Lin Liu, Xin Gu, Minxuan Lan, Hanlin Zhou, Debao Chen, Zihan Su

Comput. Environ. Urban Syst., 2025

2023

Assessing Potable Water Access and Its Implications for Households' Livelihoods: The Case of Sibi in the Nkwanta North District, Ghana.

Kingsley Kanjin, Richard Adade, Julia Quaicoe, Minxuan Lan

ISPRS Int. J. Geo Inf., September, 2023

2022

Different Ways Ambient and Immobile Population Distributions Influence Urban Crime Patterns.

Natalia Sypion-Dutkowska, Minxuan Lan, Marek Dutkowski, Victoria Williams

ISPRS Int. J. Geo Inf., December, 2022

Interpretable machine learning models for crime prediction.

Xu Zhang, Lin Liu, Minxuan Lan, Guangwen Song, Luzi Xiao, Jianguo Chen

Comput. Environ. Urban Syst., 2022

2021

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery.

Hanlin Zhou, Lin Liu, Minxuan Lan, Weili Zhu, Guangwen Song, Fengrui Jing, Yanran Zhong, Zihan Su, Xin Gu

Comput. Environ. Urban Syst., 2021

Assessing Impacts of New Subway Stations on Urban Thefts in the Surrounding Areas.

Chong Xu, Xi Chen, Lin Liu, Minxuan Lan, Debao Chen

ISPRS Int. J. Geo Inf., 2021

2020

Assessing the effects of bus stop relocation on street robbery.

Lin Liu, Minxuan Lan, John E. Eck, Emily Lei Kang

Comput. Environ. Urban Syst., 2020

Crime Prediction with Historical Crime and Movement Data of Potential Offenders Using a Spatio-Temporal Cokriging Method.

Hongjie Yu, Lin Liu, Bo Yang, Minxuan Lan

ISPRS Int. J. Geo Inf., 2020

A spatio-temporal method for crime prediction using historical crime data and transitional zones identified from nightlight imagery.

Bo Yang, Lin Liu, Minxuan Lan, Zengli Wang, Hanlin Zhou, Hongjie Yu

Int. J. Geogr. Inf. Sci., 2020

2019

Assessing the Impact of Nightlight Gradients on Street Robbery and Burglary in Cincinnati of Ohio State, USA.

Hanlin Zhou, Lin Liu, Minxuan Lan, Bo Yang, Zengli Wang

Remote. Sens., 2019

How Is the Confidentiality of Crime Locations Affected by Parameters in Kernel Density Estimation?

Zengli Wang, Lin Liu, Hanlin Zhou, Minxuan Lan

ISPRS Int. J. Geo Inf., 2019

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction.

Zengli Wang, Lin Liu, Hanlin Zhou, Minxuan Lan

ISPRS Int. J. Geo Inf., 2019