GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

Environmental Earth Sciences

Volumn 75, Issue 8, 2016, Pages

  Zabihi, Mohsen ^a   Pourghasemi, Hamid Reza ^b   Pourtaghi, Zohre Sadat ^c   Behzadfar, Morteza ^d  

^a ISLAMIC AZAD UNIVERSITY   (Iran)

^b SHIRAZ UNIVERSITY   (Iran)

^c YAZD UNIVERSITY   (Iran)

^d Planning and Management Organization   (Iran)

Author keywords

GIS; Groundwater potential mapping; Iran; Multivariate adaptive regression spline; Random forest

Indexed keywords

DECISION TREES; GEOGRAPHIC INFORMATION SYSTEMS; GROUNDWATER; LAND USE; LITHOLOGY; LOCATION; MAPPING; REGRESSION ANALYSIS; SLOPE STABILITY; WATER MANAGEMENT;

EXPLANATORY VARIABLES; GROUNDWATER MANAGEMENT; GROUNDWATER POTENTIALS; IRAN; MULTIVARIATE ADAPTIVE REGRESSION SPLINES; RANDOM FORESTS; RECEIVER OPERATING CHARACTERISTICS CURVES (ROC); TOPOGRAPHIC WETNESS INDEX;

GROUNDWATER RESOURCES;

CURVATURE; GEOLOGICAL MAPPING; GIS; GROUNDWATER RESOURCE; HYDROLOGICAL MODELING; MODEL VALIDATION; NUMERICAL METHOD; REGRESSION ANALYSIS; SITE INVESTIGATION; SLOPE DYNAMICS; SPRING (HYDROLOGY);

IRAN; NORTH KHORASAN;

EID: 84963668315     PISSN: 18666280     EISSN: 18666299     Source Type: Journal    
DOI: 10.1007/s12665-016-5424-9     Document Type: Article

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