ENVIRONMENTAL AND ECOLOGICAL STATISTICS

ENVIRONMENTAL AND ECOLOGICAL STATISTICS

ENVIRON ECOL STAT
影响因子:1.8
是否综述期刊:
是否预警:不在预警名单内
是否OA:
出版国家/地区:NETHERLANDS
出版社:Springer US
发刊时间:1994
发刊频率:Quarterly
收录数据库:SCIE/Scopus收录
ISSN:1352-8505

期刊介绍

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.
《环境和生态统计》出版关于统计和有关定量方法在环境科学中的实际应用的论文,以解决当代问题,重点是应用数理统计、统计方法、数据解释和改进以供将来使用,以期促进环境、生态和环境健康方面的统计,并利用有效的统计资料促进环境理论和实践。除了阐述的清晰度外,出版的一个最重要的标准是统计方法对特定环境问题的适当性。该期刊涵盖了为研究、政策和条例收集、分析、介绍和解释环境数据的所有方面。《日刊》是当代环境问题及相关统计工具、概念和方法方面的跨学科刊物。该杂志广泛涵盖理论和方法,案例研究和应用,环境变化和统计生态学,环境健康统计和随机学,以及相关领域。特别功能包括邀请讨论文件;研究通信;技术说明和咨询角;小型审查;给编辑的信;新闻、观点和公告;硬件和软件审查;数据管理等。
年发文量 46
国人发稿量 7.19
国人发文占比 0.16%
自引率 -
平均录取率0
平均审稿周期 >36周,或约稿
版面费 US$2690
偏重研究方向 环境科学-环境科学
期刊官网 https://www.springer.com/10651
投稿链接 https://www.editorialmanager.com/eest/

期刊高被引文献

Drivers of carbon dioxide emissions: an empirical investigation using hierarchical and non-hierarchical clustering methods
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00433-4
Jointly estimating survival and mortality: integrating recapture and recovery data from complex multiple predator systems
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00421-8
A new probability model with application to heavy-tailed hydrological data
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00422-7
Fuzzy comprehensive evaluation of the disaster reduction ability of an ethnic minority accumulation area based on an analytic hierarchy process
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00426-3
Robust ridge regression for estimating the effects of correlated gene expressions on phenotypic traits
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00434-3
Quantifying the uncertainty of variance partitioning estimates of ecological datasets
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00431-6
A history matching approach for calibrating hydrological models
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00420-9
Model-averaged confidence distributions
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00432-5
The role of tourism growth in generating additional energy consumption: empirical evidence from major tourist destinations
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00429-0
Modelling relationships between socioeconomy, landscape and water flows in Mediterranean agroecosystems: a case study in Adra catchment (Spain) using Bayesian networks
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00419-2
Bayesian-based survival analysis: inferring time to death in host-pathogen interactions
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00418-3
A Support Vector Machine approach for predicting progress toward environmental sustainability from information and communication technology and human development
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00427-2
Estimation and inference for upper hinge regression models
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00428-1
Spatiotemporal calibration of atmospheric nitrogen dioxide concentration estimates from an air quality model for Connecticut
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00430-7
Using a non-homogeneous Poisson model with spatial anisotropy and change-points to study air pollution data
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00423-6
To reduce or not to reduce: a study on spatio-temporal surveillance
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00425-4
Investigating the association between indoor radon concentrations and some potential influencing factors through a profile regression approach
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00424-5
Modeling Aedes aegypti trap data with unobserved components
来源期刊:Environmental and Ecological StatisticsDOI:10.1007/s10651-019-00417-4

质量指标占比

研究类文章占比 OA被引用占比 撤稿占比 出版后修正文章占比
100.00%43.69%--

相关指数

影响因子
影响因子
年发文量
自引率
Cite Score

预警情况

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时间 预警情况
2025年03月发布的2025版不在预警名单中
2024年02月发布的2024版不在预警名单中
2023年01月发布的2023版不在预警名单中
2021年12月发布的2021版不在预警名单中
2020年12月发布的2020版不在预警名单中
*来源:中科院《 国际期刊预警名单》

JCR分区

WOS分区等级:Q4区
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WOS期刊SCI分区是指SCI官方(Web of Science)为每个学科内的期刊按照IF数值排 序,将期刊按照四等分的方法划分的Q1-Q4等级,Q1代表质量最高,即常说的1区期刊。
(2024-2025年最新版)
ENVIRONMENTAL SCIENCES
Q4

中科院分区

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版本 大类学科 小类学科 Top期刊 综述期刊
2025年3月最新升级版
环境科学与生态学4区
ENVIRONMENTAL SCIENCES 环境科学
4区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用
4区
STATISTICS & PROBABILITY 统计学与概率论
4区
2023年12月升级版
环境科学与生态学4区
ENVIRONMENTAL SCIENCES 环境科学
4区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用
4区
STATISTICS & PROBABILITY 统计学与概率论
4区
2022年12月旧的升级版
环境科学与生态学4区
ENVIRONMENTAL SCIENCES 环境科学
4区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用
4区
STATISTICS & PROBABILITY 统计学与概率论
4区