Exploring the Potential of OpenStreetMap Data in Regional Economic Development Evaluation Modeling
In regional development studies, GDP serves as an important indicator for evaluating the developing levels of a region. However, due to statistical methods and possible human-induced interfering factors, GDP is also a commonly criticized indicator for less accurately assessing regional economic deve...
Main Authors: | Zhe Wang, Jianghua Zheng, Chuqiao Han, Binbin Lu, Danlin Yu, Juan Yang, Linzhi Han |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/16/2/239 |
Similar Items
-
Research on multiscale OpenStreetMap in China: data quality assessment with EWM-TOPSIS and GDP modeling
by: Chuqiao Han, et al.
Published: (2024-06-01) -
A comprehensive assessment approach for multiscale regional economic development: Fusion modeling of nighttime lights and OpenStreetMap data
by: Zhe Wang, et al.
Published: (2025-04-01) -
The OpenStreetMap folksonomy and its evolution
by: Franz-Benjamin Mocnik, et al.
Published: (2017-07-01) -
Contributors’ enrollment in collaborative online communities: the case of OpenStreetMap
by: Daniel Bégin, et al.
Published: (2017-07-01) -
Testing the Potential of Volunteered Geoinformation in the Case of OpenStreetMap in Croatia
by: Baldo Stančić, et al.
Published: (2014-12-01)