缩写名/全名 |
SPAT STAT-NETH
Spatial Statistics |
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ISSN号 | 2211-6753 | ||||||||||||||||||||||||
研究方向 | GEOSCIENCES, MULTIDISCIPLINARY-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS | ||||||||||||||||||||||||
影响因子 | 2015:1.385, 2016:1.176, 2017:1.026, 2018:1.219, 2019:1.656, | ||||||||||||||||||||||||
出版国家 | ENGLAND | ||||||||||||||||||||||||
出版周期 | |||||||||||||||||||||||||
年文章数 | 44 | ||||||||||||||||||||||||
出版年份 | 0 | ||||||||||||||||||||||||
是否OA | No | ||||||||||||||||||||||||
审稿周期(仅供参考) | |||||||||||||||||||||||||
录用比例 | |||||||||||||||||||||||||
投稿链接 | http://ees.elsevier.com/spasta/ | ||||||||||||||||||||||||
投稿官网 | http://www.journals.elsevier.com/spatial-statistics/ | ||||||||||||||||||||||||
h-index | 17 | ||||||||||||||||||||||||
CiteScore |
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PubMed Central (PMC)链接 | http://www.ncbi.nlm.nih.gov/nlmcatalog?term=2211-6753%5BISSN%5D | ||||||||||||||||||||||||
中科院SCI期刊分区 ( 2018年新版本) |
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中科院SCI期刊分区 ( 2020年新版本) |
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中国学者近期发表的论文 | |
1. | 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 DOI |
2. | 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 DOI |
3. | 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 DOI |
4. | 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 DOI |
5. | 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 DOI |
6. | 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 DOI |
7. | 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 DOI |
8. | 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 DOI |
9. | Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics Author: Yong Ge Journal: Spatial Statistics, 2016. |
10. | Utilizing spatial association analysis to determine the number of multiple grids for multiple-point statistics Author: Hexiang Bai Journal: Spatial Statistics, 2016. |
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