Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS
This study mapped and analyzed groundwater potential using two different models, logistic regression (LR) and multivariate adaptive regression splines (MARS), and compared the results. A spatial database was constructed for groundwater well data and groundwater influence factors. Groundwater well da...
Main Authors: | Soyoung Park, Se-Yeong Hamm, Hang-Tak Jeon, Jinsoo Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2017-07-01
|
Series: | Sustainability |
Subjects: | |
Online Access: | https://www.mdpi.com/2071-1050/9/7/1157 |
Similar Items
-
The Predictive Capability of a Novel Ensemble Tree-Based Algorithm for Assessing Groundwater Potential
by: Soyoung Park, et al.
Published: (2021-02-01) -
Integrating In-Situ Data and RS-GIS Techniques to Identify Groundwater Potential Sites in Mountainous Regions of Taiwan
by: Jung-Jun Lin, et al.
Published: (2020-06-01) -
Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
by: Wei Chen, et al.
Published: (2020-01-01) -
Evaluating Sources of Arsenic in Groundwater in Virginia using a Logistic Regression Model
by: VanDerwerker, Tiffany Jebson
Published: (2017) -
Evaluation of Groundwater Potential and Safe Yield of Heterogeneous Unconsolidated Aquifers in Chiang Mai Basin, Northern Thailand
by: Sutthipong Taweelarp, et al.
Published: (2021-02-01)