Predictive capacity of nine algorithms and an ensemble model to determine the geographic distribution of tree species

IF 1.5 4区农林科学 Q2 FORESTRY

Iforest - Biogeosciences and Forestry Pub Date : 2022-10-31 DOI:10.3832/ifor4084-015

JC Montoya-Jiménez, J. Valdez-Lazalde, G. Ángeles-Pérez, HM De Los Santos-Posadas, G. Cruz-Cárdenas

引用次数: 2

查看原文本刊更多论文

九种算法和一个集合模型的预测能力，以确定树种的地理分布

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Iforest - Biogeosciences and Forestry FORESTRY-

CiteScore

3.30

自引率

0.00%

发文量

审稿时长

6 months

期刊介绍： The journal encompasses a broad range of research aspects concerning forest science: forest ecology, biodiversity/genetics and ecophysiology, silviculture, forest inventory and planning, forest protection and monitoring, forest harvesting, landscape ecology, forest history, wood technology.