雜志介紹

Environmental And Ecological Statistics雜志介紹

《Environmental And Ecological Statistics》是一本以English為主的未開放獲取國(guó)際優(yōu)秀期刊，中文名稱環(huán)境與生態(tài)統(tǒng)計(jì)，本刊主要出版、報(bào)道環(huán)境科學(xué)與生態(tài)學(xué)-ENVIRONMENTAL SCIENCES領(lǐng)域的研究動(dòng)態(tài)以及在該領(lǐng)域取得的各方面的經(jīng)驗(yàn)和科研成果，介紹該領(lǐng)域有關(guān)本專業(yè)的最新進(jìn)展，探討行業(yè)發(fā)展的思路和方法，以促進(jìn)學(xué)術(shù)信息交流，提高行業(yè)發(fā)展。該刊已被國(guó)際權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，為該領(lǐng)域相關(guān)學(xué)科的發(fā)展起到了良好的推動(dòng)作用，也得到了本專業(yè)人員的廣泛認(rèn)可。該刊最新影響因子為3，最新CiteScore 指數(shù)為5.9。

本刊近期中國(guó)學(xué)者發(fā)表的論文主要有：

• A two-step local smoothing approach for exploring spatio-temporal patterns with application to the analysis of precipitation in the mainland of China during 1986–2005

  Author: Na Yan, Chang-Lin Mei

• Finding regulation among seemingly unregulated populations: a practical framework for analyzing multivariate population time series for their interactions

  Author: Can Zhou, Masami Fujiwara, William E. Grant

• Optimal model averaging by data perturbation for spatial noisy data

  Author: Jun Liao, Guohua Zou, Yan Gao

• Ranking of functional data in application to worldwide PM$$_{}$$ data analysis

  Author: Zhuhua Lin, Yingchun Zhou

英文介紹

Environmental And Ecological Statistics雜志英文介紹

Environmental and Ecological Statistics publishes papers on practical applications of statistics and related quantitative methods to environmental science addressing contemporary issues.

Emphasis is on applied mathematical statistics, statistical methodology, and data interpretation and improvement for future use, with a view to advance statistics for environment, ecology and environmental health, and to advance environmental theory and practice using valid statistics.

Besides clarity of exposition, a single most important criterion for publication is the appropriateness of the statistical method to the particular environmental problem. The Journal covers all aspects of the collection, analysis, presentation and interpretation of environmental data for research, policy and regulation. The Journal is cross-disciplinary within the context of contemporary environmental issues and the associated statistical tools, concepts and methods. The Journal broadly covers theory and methods, case studies and applications, environmental change and statistical ecology, environmental health statistics and stochastics, and related areas. Special features include invited discussion papers; research communications; technical notes and consultation corner; mini-reviews; letters to the Editor; news, views and announcements; hardware and software reviews; data management etc.