Kangjae Lee

According to our database, Kangjae Lee authored at least 13 papers between 2017 and 2024.

Collaborative distances:

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

2024

Examining the joint effect of air pollution and green spaces on stress levels in South Korea: using machine learning techniques.

Khadija Ashraf, Yoo Min Park, Matthew H. E. M. Browning, Jue Wang, Ruoyu Wang, Kangjae Lee

Int. J. Digit. Earth, December, 2024

Comparison of Different Green Space Measures and Their Impact on Dementia Cases in South Korea: A Spatial Panel Analysis.

Wulan Salle Karurung, Kangjae Lee, Wonhee Lee

ISPRS Int. J. Geo Inf., April, 2024

2023

How the physical inactivity is affected by social-, economic- and physical-environmental factors: an exploratory study using the machine learning approach.

Kangjae Lee, Jue Wang, Joon Heo

Int. J. Digit. Earth, December, 2023

2022

Development of a Conceptual Data Model for 3D Geospatial Road Management Based on LandInfra Standard: A Case Study of Korea.

Munkhbaatar Buuveibaatar, Kangjae Lee, Wonhee Lee

ISPRS Int. J. Geo Inf., 2022

Is college students' trajectory associated with academic performance?

Hyoungjoon Lim, Soohyun Kim, Kyong-Mee Chung, Kangjae Lee, Taewhan Kim, Joon Heo

Comput. Educ., 2022

2021

Interpretation of contextual influences with explanatory tools: Travel mode likelihood mapping using GPS trajectories.

Kangjae Lee, Mei-Po Kwan

Trans. GIS, 2021

An Integrated Individual Environmental Exposure Assessment System for Real-Time Mobile Sensing in Environmental Health Studies.

Jue Wang, Lirong Kou, Mei-Po Kwan, Rebecca Marie Shakespeare, Kangjae Lee, Yoo Min Park

Sensors, 2021

2019

Integration of GIS and machine learning techniques to investigate the impact of environmental contexts on travel modes

Kangjae Lee

PhD thesis, 2019

The Effects of GPS-Based Buffer Size on the Association between Travel Modes and Environmental Contexts.

Kangjae Lee, Mei-Po Kwan

ISPRS Int. J. Geo Inf., 2019

2018

Physical activity classification in free-living conditions using smartphone accelerometer data and exploration of predicted results.

Kangjae Lee, Mei-Po Kwan

Comput. Environ. Urban Syst., 2018

Automatic physical activity and in-vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning techniques.

Kangjae Lee, Mei-Po Kwan

Trans. GIS, 2018

Environmental Influences on Leisure-Time Physical Inactivity in the U.S.: An Exploration of Spatial Non-Stationarity.

Jue Wang, Kangjae Lee, Mei-Po Kwan

ISPRS Int. J. Geo Inf., 2018

2017

Location-based service using ontology-based semantic queries: A study with a focus on indoor activities in a university context.

Kangjae Lee, Jiyeong Lee, Mei-Po Kwan

Comput. Environ. Urban Syst., 2017