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Spatial Statistics
基本信息
期刊名称 | Spatial Statistics SPAT STAT-NETH |
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期刊ISSN | 2211-6753 |
期刊官方网站 | https://www.sciencedirect.com/journal/spatial-statistics |
是否OA | No |
出版商 | Elsevier B.V. |
出版周期 | |
文章处理费 | 登录后查看 |
始发年份 | |
年文章数 | 68 |
影响因子 | 2.1(2023) scijournal影响因子 greensci影响因子 |
中科院SCI期刊分区
大类学科 | 小类学科 | Top | 综述 |
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工程技术4区 | GEOSCIENCES, MULTIDISCIPLINARY 地球科学综合4区 | 否 | 否 |
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用4区 | |||
REMOTE SENSING 遥感4区 | |||
STATISTICS & PROBABILITY 统计学与概率论3区 |
CiteScore
CiteScore排名 | CiteScore | SJR | SNIP | ||
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学科 | 排名 | 百分位 | 4.0 | 0.805 | 1.127 |
Mathematics Statistics and Probability |
47/278 | 83% |
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Earth and Planetary Sciences Computers in Earth Sciences |
30/73 | 59% |
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Environmental Science Management, Monitoring, Policy and Law |
175/399 | 56% |
补充信息
自引率 | 4.8% |
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H-index | 17 |
SCI收录状况 |
Science Citation Index Expanded |
官方审稿时间 | 登录后查看 |
网友分享审稿时间 | 数据统计中,敬请期待。 |
接受率 | 登录后查看 |
PubMed Central (PMC) | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2211-6753%5BISSN%5D |
投稿指南
期刊投稿网址 | https://www.editorialmanager.com/SPASTA |
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收稿范围 | Spatial Statistics publishes articles on the theory and application of spatial and spatio-temporal statistics. It favours manuscripts that present theory generated by new applications, or in which new theory is applied to an important practical case. A purely theoretical study will only rarely be accepted. Pure case studies and algorithms without methodological development are not acceptable for publication. Spatial Statistics concerns the quantitative analysis of spatial and spatio-temporal data, including their statistical dependencies, heterogeneity, accuracy and uncertainties. Methodology for spatial statistics is typically found in probability theory, stochastic modelling and mathematical statistics as well as in information and computer science. Spatial statistics is used in mapping, assessing spatial data quality, sampling design optimisation, modelling of spatial structures, and drawing of valid inference and causality from a limited set of spatio-temporal data. Application fields include: • The physical domains, e.g. environment, climate, agriculture, ecology, geosciences oceanography and remote sensing. • The social/economic domains, e.g. epidemiology, population characteristics, and disease mapping. Spatial Statistics encourages the submission of short communications and case studies in spatial statistics (i.e. manuscripts up to 3000 words presenting novel spatial statistical applications). Spatial Statistics aims to publish reproducible science. Authors are encouraged to submit and publish data, procedures, models and methods that support your research publication. It provides facilities to interlink those with your published articles. Spatial Statistics has an open attitude towards the latest developments in data science, deep learning and geoAI, as long as a substantial statistical component is present. |
收录体裁 | |
投稿指南 | https://www.sciencedirect.com/journal/spatial-statistics/publish/guide-for-authors |
投稿模板 | |
参考文献格式 | https://www.elsevier.com/journals/spatial-statistics/2211-6753/guide-for-authors |
编辑信息 |
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