An Automated Python Language-Based Tool for Creating Absence Samples in Groundwater Potential Mapping

Although sampling strategy plays an important role in groundwater potential mapping and significantly influences model accuracy, researchers often apply a simple random sampling method to determine absence (non-occurrence) samples. In this study, an automated, user-friendly geographic information sy...

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Veröffentlicht in:	Remote sensing (Basel, Switzerland) Jg. 11; H. 11; S. 1375
Hauptverfasser:	Rahmati, Omid, Moghaddam, Davoud Davoudi, Moosavi, Vahid, Kalantari, Zahra, Samadi, Mahmood, Lee, Saro, Tien Bui, Dieu
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 2019
Schlagworte:	Accuracy Artificial intelligence Automation Earth science Geographic information systems GIS Groundwater Groundwater data Groundwater potential Learning algorithms LiDAR Machine learning Mapping Methods Model accuracy Natural resources Programming languages Python R&D Random sampling Regression analysis Remote sensing Research & development sampling strategy SAS tool spatial modeling Splines Statistical analysis Statistical methods Statistical sampling Studies Trustworthiness Watershed management Iran Vietnam India
ISSN:	2072-4292, 2072-4292
Online-Zugang:	Volltext
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