Spatial Statistics

Spatial Statistics

空间统计

  • 2区 中科院分区
  • Q1 JCR分区

期刊简介

《Spatial Statistics》是由Elsevier BV出版社于2012年创办的英文国际期刊(ISSN: 2211-6753),该期刊长期致力于数学跨学科应用领域的创新研究,主要研究方向为GEOSCIENCES, MULTIDISCIPLINARY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS。作为SCIE收录期刊(JCR分区 Q1,中科院 2区),本刊采用OA未开放获取模式(OA占比0.0740...%),以发表数学跨学科应用领域等方向的原创性研究为核心(研究类文章占比100.00%%)。凭借严格的同行评审与高效编辑流程,期刊年载文量精选控制在68篇,确保学术质量与前沿性。成果覆盖Web of Science、Scopus等国际权威数据库,为学者提供推动数学领域高水平交流平台。

投稿咨询

投稿提示

Spatial Statistics审稿周期约为 。该刊近年未被列入国际预警名单,年发文量约68篇,录用竞争适中,主题需确保紧密契合数学前沿。投稿策略提示:避开学术会议旺季投稿以缩短周期,语言建议专业润色提升可读性。

  • 数学 大类学科
  • English 出版语言
  • 是否预警
  • SCIE 期刊收录
  • 68 发文量

中科院分区

中科院 SCI 期刊分区 2023年12月升级版

Top期刊 综述期刊 大类学科 小类学科
数学
2区
MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用 STATISTICS & PROBABILITY 统计学与概率论 GEOSCIENCES, MULTIDISCIPLINARY 地球科学:综合 REMOTE SENSING 遥感
2区 2区 3区 3区

中科院 SCI 期刊分区 2022年12月升级版

Top期刊 综述期刊 大类学科 小类学科
数学
3区
GEOSCIENCES, MULTIDISCIPLINARY 地球科学:综合 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS 数学跨学科应用 REMOTE SENSING 遥感 STATISTICS & PROBABILITY 统计学与概率论
3区 3区 3区 3区

JCR分区

按JIF指标学科分区 收录子集 分区 排名 百分位
学科:GEOSCIENCES, MULTIDISCIPLINARY SCIE Q3 127 / 253

50%

学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS SCIE Q2 43 / 135

68.5%

学科:REMOTE SENSING SCIE Q3 33 / 62

47.6%

学科:STATISTICS & PROBABILITY SCIE Q1 26 / 168

84.8%

按JCI指标学科分区 收录子集 分区 排名 百分位
学科:GEOSCIENCES, MULTIDISCIPLINARY SCIE Q2 74 / 253

70.95%

学科:MATHEMATICS, INTERDISCIPLINARY APPLICATIONS SCIE Q2 36 / 135

73.7%

学科:REMOTE SENSING SCIE Q2 23 / 62

63.71%

学科:STATISTICS & PROBABILITY SCIE Q1 26 / 168

84.82%

CiteScore

CiteScore SJR SNIP CiteScore 排名
CiteScore:4 SJR:0.805 SNIP:1.127
学科类别 分区 排名 百分位
大类:Mathematics 小类:Statistics and Probability Q1 47 / 278

83%

大类:Mathematics 小类:Computers in Earth Sciences Q2 30 / 73

59%

大类:Mathematics 小类:Management, Monitoring, Policy and Law Q2 175 / 399

56%

期刊发文

  • Space–time covariance functions based on linear response theory and the turning bands method

    Author: Dionissios T. Hristopulos, Ivi C. Tsantili

    Journal: Spatial Statistics, 2017, Vol.22, 321-337, DOI:10.1016/j.spasta.2017.07.001

  • Regional economy and development: A viewpoint and application of spatial statistics

    Author: Yong Ge, Xi Zhao

    Journal: Spatial Statistics, 2017, Vol.21, 337-338, DOI:10.1016/j.spasta.2017.04.004

  • A likelihood-based spatial statistical transformation model (LBSSTM) of regional economic development using DMSP/OLS time-series nighttime light imagery

    Author: Chang Li, Guie Li, Yujia Zhu, Yong Ge, Hsiang-te Kung, Yijin Wu

    Journal: Spatial Statistics, 2017, Vol.21, 421-439, DOI:10.1016/j.spasta.2017.03.004

  • Space–time variability analysis of poverty alleviation performance in China’s poverty-stricken areas

    Author: Yong Ge, Yue Yuan, Shan Hu, Zhoupeng Ren, Yijin Wu

    Journal: Spatial Statistics, 2017, Vol.21, 460-474, DOI:10.1016/j.spasta.2017.02.010

  • Understanding the inconsistent relationships between socioeconomic factors and poverty incidence across contiguous poverty-stricken regions in China: Multilevel modelling

    Author: Zhoupeng Ren, Yong Ge, Jinfeng Wang, Jingyao Mao, Qi Zhang

    Journal: Spatial Statistics, 2017, Vol.21, 406-420, DOI:10.1016/j.spasta.2017.02.009

  • An evaluation of China’s urban agglomeration development from the spatial perspective

    Author: Xiao-lu Gao, Ze-ning Xu, Fang-qu Niu, Ying Long

    Journal: Spatial Statistics, 2017, Vol.21, 475-491, DOI:10.1016/j.spasta.2017.02.008

  • Effects of different sampling densities on geographically weighted regression kriging for predicting soil organic carbon

    Author: Huichun Ye, Wenjiang Huang, Shanyu Huang, Yuanfang Huang, Shiwen Zhang, Yingying Dong, Pengfei Chen

    Journal: Spatial Statistics, 2017, Vol.20, 76-91, DOI:10.1016/j.spasta.2017.02.001

  • Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics

    Author: Hexiang Bai, Yong Ge, Gregoire Mariethoz

    Journal: Spatial Statistics, 2016, Vol.17, 83-104, DOI:10.1016/j.spasta.2016.06.003