GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

标题
GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran
作者
关键词
Spring potential mapping, Boosted regression tree, Classification and regression tree, Random forest, GIS, Iran
出版物
ENVIRONMENTAL MONITORING AND ASSESSMENT
Volume 188, Issue 1, Pages -
出版商
Springer Nature
发表日期
2015-12-19
DOI
10.1007/s10661-015-5049-6

向作者/读者发起求助以获取更多资源

Reprint

联系作者

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search