预测入侵物种潜在地理分布的空间集合学习

IF 4.3 1区地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS

International Journal of Geographical Information Science Pub Date : 2024-07-10 DOI:10.1080/13658816.2024.2376325

Wentao Yang, Xiafan Wan, Min Deng

引用次数: 0

摘要

了解入侵物种的地理分布有利于预防和控制生物入侵。一个全球模型通常是根据现有的物种分布来构建的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Spatial ensemble learning for predicting the potential geographical distribution of invasive species

Understanding the geographical distribution of invasive species is beneficial for preventing and controlling biological invasions. A global model is often constructed with existing species distribu...

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来源期刊

International Journal of Geographical Information Science 地学-计算机：信息系统

CiteScore

11.00

自引率

7.00%

发文量

审稿时长

9 months

期刊介绍： International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.