Are ROC-improved logistic regressions beneficial to statistical models of land change? A counter example
Logistic regression (LR) is widely used in land change modelling; however, its traditional form assumes independent input variables, which is often not realistic. Although the improved models offer better fitting capabilities, it is unclear whether this leads to more accurate land change simulations...
Saved in:
| Main Authors: | Mingyang Qin, Yiru Xie, Shi Hua, Zhanhong Liu, Peichao Gao |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2025-07-01
|
| Series: | Annals of GIS |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19475683.2025.2523736 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A COMPARISON OF LOGISTIC REGRESSION, MIXED LOGISTIC REGRESSION, AND GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION ON PUBLIC HEALTH DEVELOPMENT IN JAVA
by: Erwan Setiawan, et al.
Published: (2025-01-01) -
THE ROLE AND PLACE OF LOGISTIC REGRESSION AND ROC ANALYSIS IN SOLVING MEDICAL DIAGNOSTIC TASK
by: S. G. Grigoryev, et al.
Published: (2016-12-01) -
A STATISTICAL ANALYTICS OF MIGRATION USING BINARY BAYESIAN LOGISTIC REGRESSION
by: Devi Azarina Manzilir Rohmah, et al.
Published: (2023-09-01) -
Current and future land use and land cover scenarios in the Arroio Marrecas watershed
by: Carlos G. Tornquist, et al. -
Linear and logistic regression: A medical perspective
by: S. Gothai Nachiyar, et al.
Published: (2025-07-01)