Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

Ever increasing demand for water resources for different purposes makes it essential to have better understanding and knowledge about water resources. As known, groundwater resources are one of the main water resources especially in countries with arid climatic condition. Thus, this study seeks to p...

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Bibliographic Details
Published in:Environmental monitoring and assessment 2018-03, Vol.190 (3), p.149-149, Article 149
Main Authors: Golkarian, Ali, Naghibi, Seyed Amir, Kalantar, Bahareh, Pradhan, Biswajeet
Format: Article
Language:English
Subjects:
Academic disciplines
Algorithms
Altitude
Atmospheric Protection/Air Quality Control/Air Pollution
Climatic conditions
climatic factors
computer software
Curvature
data collection
Data mining
Datasets
Desert Climate
Discriminant analysis
Earth and Environmental Science
Ecology
Ecotoxicology
Environment
Environmental Management
Environmental Monitoring - methods
Geographic Information Systems
Geographical information systems
Groundwater
Groundwater - analysis
Groundwater potential
Groundwater resources
Hydrology
Iran
Knowledge management
Land use
Literature reviews
Lithology
Models, Theoretical
Monitoring/Environmental Analysis
Multivariate Analysis
Regression Analysis
Resource exploitation
Rivers
Rivers - chemistry
ROC Curve
Sea level
Software
Spline functions
Splines
spring
Statistical analysis
Topography
Water demand
Water resources
Water Resources - supply & distribution
Water resources management
Water springs
Watersheds
Wetness index
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