Simulation and prediction of the expansion of OpenStreetMap building data based on the Markov-FLUS model in Shenzhen, China
OpenStreetMap (OSM), an open, crowdsourced geographic information platform, holds significant potential in fields like urban planning and resource management. Currently, most research focuses primarily on data quality issues, without considering the evolution of OSM buildings. This paper employs the...
Saved in:
Main Authors: | Sidan Chen, Lingjia Liu, Kaixiang Li, Xiaohui Ding, Wei Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
Taylor & Francis Group
2025-12-01
|
Series: | Geocarto International |
Subjects: | |
Online Access: | https://www.tandfonline.com/doi/10.1080/10106049.2025.2459109 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Exploring why and how commercial organizations contribute to OpenStreetMap
by: Héctor Ochoa-Ortiz, et al.
Published: (2025-02-01) -
The impact of land use transition on ecosystem service value in Lixiahe area: Multi-scenario simulation based on Markov-FLUS model
by: CHEN Xinwei, LI Hongbo, ZHANG Wenbo, GE Xiaoping
Published: (2025-01-01) -
Fitting Markov property to genetic sequences
by: Jurgita Židanavičiūtė, et al.
Published: (2023-09-01) -
Feeding System’s Sensitivity and Reliability Analysis through Markov Decision Process
by: Sujata Jadhav, et al.
Published: (2025-04-01) -
Optimal Asynchronous Guaranteed Cost Control of Uncertain Markov Jump Systems With Actuator Saturation and Nonideal Transition Probabilities
by: Jiazheng Liu, et al.
Published: (2025-01-01)