[1] 刘慧, 刘卫东. “一带一路”建设与我国区域发展战略的关系研究[J]. 中国科学院院刊, 2017(4):18-25. [ LiuH, LiuW D. Study on relationship between the Belt and Road initiative and regional development strategies of China[J]. Bulletin of Chinese Academy of Sciences, 2017(4):18-25. ] [ Liu H, Liu W D. Study on relationship between the Belt and Road initiative and regional development strategies of China[J]. Bulletin of Chinese Academy of Sciences, 2017(4):18-25. ]
[2] 刘卫东. “一带一路”:引领包容性全球化[J]. 中国科学院院刊, 2017,32(4):331-339. [ LiuW D. Inclusive globalization: New philosophy of China's Belt and Road Initiative[J]. Bulletin of Chinese Academy of Sciences, 2017,32(4):331-339. ] [ Liu W D. Inclusive globalization: New philosophy of China's Belt and Road Initiative[J]. Bulletin of Chinese Academy of Sciences, 2017,32(4):331-339. ]
[3] 刘清杰. “一带一路”沿线国家资源分析[J]. 经济研究参考, 2017(15):70-104. [ LiuQ J. The analysis of resource on the Belt and Road countries[J]. Review of Economic Research, 2017(15):70-104. ] [ Liu Q J. The analysis of resource on the Belt and Road countries[J]. Review of Economic Research, 2017(15):70-104. ]
[4] 胡伟, 刘壮, 邓超. “一带一路”空间信息走廊建设的思考[J]. 工业经济论坛, 2015(5):132-140. [ HuW, LiuZ, DengC. A study on the 'One Belt and One Road' spatial information corridor[J]. Industrial Economy Review, 2015(5):132-140. ] [ Hu W, Liu Z, Deng C. A study on the 'One Belt and One Road' spatial information corridor[J]. Industrial Economy Review, 2015(5):132-140. ]
[5] Is a pixel worth 1000 words? Critical remote sensing and China's Belt and Road Initiative[J]. Political Geography, 78, 102-127(2020).
[6] et alEnergy relations between China and the countries along the Belt and Road: An analysis of the distribution of energy resources and interdependence relationships[J]. Renewable and Sustainable Energy Reviews, 107, 133-144(2019).
[7] Analysis of the spatial-temporal differences and fairness of the regional energy ecological footprint of the Silk Road Economic Belt (China Section)[J]. Journal of Cleaner Production, 215, 1246-1261(2019).
[8] 何鹏, 蹇东南, 李晓, 等. 复杂地形影响下四川省逐月气温空间插值方法研究[J]. 生态与农村环境学报, 2019,35(6):801-808. [ HeP, QianD N, LiX, et al. Study on Interpolation model of monthly temperature in Sichuan Province under the influence of complex topography[J]. Journal of Ecology and Rural Environment, 2019,35(6):801-808. ] [ He P, Qian D N, Li X, et al. Study on Interpolation model of monthly temperature in Sichuan Province under the influence of complex topography[J]. Journal of Ecology and Rural Environment, 2019,35(6):801-808. ]
[9] 阎洪. 气候时空数据的样条插值与应用[J]. 地理与地理信息科学, 2003,19(5):27-31. [ YanH. Spline interpolation of spatial-temporal climate data for China[J]. Geography and Geo-information Science, 2003,19(5):27-31. ] [ Yan H. Spline interpolation of spatial-temporal climate data for China[J]. Geography and Geo-information Science, 2003,19(5):27-31. ]
[10] 唐焰, 封志明, 杨艳昭. 基于栅格尺度的中国人居环境气候适宜性评价[J]. 资源科学, 2008,30(5):648-653. [ TangY, FengZ M, YangY Z. Evaluation of climate suitability for human settlement in China[J]. Resources Science, 2008,30(5):648-653. ] [ Tang Y, Feng Z M, Yang Y Z. Evaluation of climate suitability for human settlement in China[J]. Resources Science, 2008,30(5):648-653. ]
[11] 王志芳. 中国建设“一带一路”面临的气候安全风险[J]. 国际政治研究, 2015(4):56-74. [ WangZ F. Climate security risks associated with China's "the Belt and Road" Initiative[J]. The Journal of International Studies, 2015(4):56-74. ] [ Wang Z F. Climate security risks associated with China's "the Belt and Road" Initiative[J]. The Journal of International Studies, 2015(4):56-74. ]
[12] 韩权, 江东, 付晶莹, 等. “一带一路”沿线撒哈拉以南非洲地区能矿资源投资风险指数研究[J]. 科技导报, 2018,36(3):108-115. [ HanQ, JiangD, FuJ Y, et al. On the risk index of energy resources investment in sub-Saharan Africa along “the Belt and Road Initiative”[J]. Science Technology review, 2018,36(3):108-115. ] [ Han Q, Jiang D, Fu J Y, et al. On the risk index of energy resources investment in sub-Saharan Africa along “the Belt and Road Initiative”[J]. Science Technology review, 2018,36(3):108-115. ]
[13] 吴绍洪, 刘路路, 刘燕华, 等. “一带一路”陆域地理格局与环境变化风险[J]. 地理学报, 2018,73(7):1214-1225. [ WuS H, LiuL L, LiuY H, et al. Geographical patterns and environmental change risks in terrestrial areas of the Belt and Road[J]. Acta Geographica Sinica, 2018,73(7):1214-1225. ] [ Wu S H, Liu L L, Liu Y H, et al. Geographical patterns and environmental change risks in terrestrial areas of the Belt and Road[J]. Acta Geographica Sinica, 2018,73(7):1214-1225. ]
[14] 王新鸿, 邱实, 姜小光, 等. 高光谱热红外数据反演地表温度与比辐射率方法研究[J]. 干旱区地理, 2010(3):107-114. [ WangX H, QiuS, JiangX G, et al. Land surface temperature and emissivity retrieval from hyperspectral thermal infrared data[J]. Arid Land Geography, 2010(3):107-114. ] [ Wang X H, Qiu S, Jiang X G, et al. Land surface temperature and emissivity retrieval from hyperspectral thermal infrared data[J]. Arid Land Geography, 2010(3):107-114. ]
[15] 封志明, 杨艳昭, 丁晓强, 等. 气象要素空间插值方法优化[J]. 地理研究, 2004,23(3):357-364. [ FengZ M, YangY Z, DingX Q, et al. Optimization of the spatial interpolation methods for climate resources[J]. Geographical Research, 2004,23(3):357-364. ] [ Feng Z M, Yang Y Z, Ding X Q, et al. Optimization of the spatial interpolation methods for climate resources[J]. Geographical Research, 2004,23(3):357-364. ]
[16] et al地理信息系统中不同空间插值方法的比较研究[J]. 森林工程, 30, 110-113(2014).
[17] 毛萍, 黄东晓, 王芋华, 等. 全球变化领域研究现状与趋势的大数据分析[J]. 中国科学院大学学报, 2017,34(4):441-451. [ MaoP, HuangD X, WangY H, et al. Big data analysis of status and trends of global change research[J]. Journal of University of Chinese Academy of Sciences, 2017,34(4):441-451. ] [ Mao P, Huang D X, Wang Y H, et al. Big data analysis of status and trends of global change research[J]. Journal of University of Chinese Academy of Sciences, 2017,34(4):441-451. ]
[18] Kriging and thin plate splines for mapping climate variables[J]. International Journal of Applied Earth Observation and Geoinformation, 3, 146-154(2001).
[20] 林忠辉, 莫兴国, 李宏轩, 等. 中国陆地区域气象要素的空间插值[J]. 地理学报, 2002,57(1):47-56.
[21] 彭彬, 周艳莲, 高苹, 等. 气温插值中不同空间插值方法的适用性分析——以江苏省为例[J]. 地球信息科学学报, 2011,13(4):539-548.
[22] et al自适应的IDW插值方法及其在气温场中的应用[J]. 地理研究, 33, 1417-1426(2014).
[25] High-resolution daily gridded datasets of air temperature and wind speed for Europe[J]. International Journal of Pharmaceutics, 8, 649-702(2015).
[26] 李佳霖, 樊子德, 邓敏. 基于空间异质分区的残差IDW插值方法[J]. 地理与地理信息科学, 2015,31(5):29-33. [ LiJ L, FanZ D, DengM. Residual inverse distance weighting spatial interpolation method based on spatial heterogeneity sub-region[J]. Geography and Geo-information Science, 2015,31(5):29-33. ] [ Li J L, Fan Z D, Deng M. Residual inverse distance weighting spatial interpolation method based on spatial heterogeneity sub-region[J]. Geography and Geo-information Science, 2015,31(5):29-33. ]
[27] 李框宇, 周梅, 陈玖英, 等. 一种适用于气温空间插值的改进梯度距离平方反比法[J]. 2019,36(4):491-497. [ LiK Y, ZhouM, ChenJ Y, et al. An approach of improved gradient plus inverse distance squared for spatial interpolation of temperature[J]. Journal of University of Chinese Academy of Sciences, 2019,36(4):491-497. ] [ Li K Y, Zhou M, Chen J Y, et al. An approach of improved gradient plus inverse distance squared for spatial interpolation of temperature[J]. Journal of University of Chinese Academy of Sciences, 2019,36(4):491-497. ]
[28] 李巍. 降雨量空间插值方法比较研究[J]. 安徽农业科学, 2014,42(12):3667-3669. [ LiW. Study on interpolation methods of rainfall[J]. Journal of Anhui Agricultural Sciences, 2014,42(12):3667-3669. ] [ Li W. Study on interpolation methods of rainfall[J]. Journal of Anhui Agricultural Sciences, 2014,42(12):3667-3669. ]
[29] Developments of Spatio-temporal interpolation methods for meteorological elements. Changsha: Central South University, 3-10(2011).
[30] 李波, 黄敬峰, 金志凤, 等. 基于GIS的浙江省年降水量空间分布推算方法研究[J]. 浙江大学学报(理学版), 2010,37(2):121-126. [ LiB. HuangJ F. JinZ F, et al. Methods for calculating precipitation spatial distribution of Zhejiang Province based on GIS[J]. Journal of Zhejiang University(Science Edition), 2010,37(2):121-126. ] [ Li B. Huang J F. Jin Z F, et al. Methods for calculating precipitation spatial distribution of Zhejiang Province based on GIS[J]. Journal of Zhejiang University( Science Edition), 2010,37(2):121-126. ]
[31] 张国峰, 杨立荣, 瞿明凯, 等. 基于地理加权回归克里格的日平均气温插值[J]. 应用生态学报, 2015,26(5):246-251. [ ZhangG F, YangL R, QuM K, et al. Interpolation of daily mean temperature by using geographically weighted regression-Kriging[J]. Chinese Journal of Applied Ecology, 2015,26(5):246-251. ] [ Zhang G F, Yang L R, Qu M K, et al. Interpolation of daily mean temperature by using geographically weighted regression-Kriging[J]. Chinese Journal of Applied Ecology, 2015,26(5):246-251. ]
[32] 张国峰, 白蕤, 李伟光, 等. 海南岛日最低、最高气温空间插值研究[J]. 中国农学通报, 2017,33(19):101-109. [ ZhangG F, BaiR, LiW G, et al. Spatial interpolation of daily minimum temperature and daily maximum temperature in Hainan island[J]. Chinese Agricultural Science Bulletin, 2017,33(19):101-109. ] [ Zhang G F, Bai R, Li W G, et al. Spatial interpolation of daily minimum temperature and daily maximum temperature in Hainan island[J]. Chinese Agricultural Science Bulletin, 2017,33(19):101-109. ]
[33] 李金洁, 王爱慧. 基于西南地区台站降雨资料空间插值方法的比较[J]. 气候与环境研究, 2019,24(1):50-60. [ LiJ J, WangA H. Comparison of spatial interpolation methods based on monthly precipitation observation data of station in southwest China[J]. Climatic and Environment Research, 2019,24(1):50-60. ] [ Li J J, Wang A H. Comparison of spatial interpolation methods based on monthly precipitation observation data of station in southwest China[J]. Climatic and Environment Research, 2019,24(1):50-60. ]
[34] 2001-2013年中国与“一带一路”沿线国家贸易网络分析[J]. 地理科学, 36, 1629-1636(2016).
[35] 郝林钢. “一带一路”分区自然地理特征及水资源分析[D]. 2019: 20-25. [ HaoL G. Physiographic Characteristics and Water Resources analysis of the regions among the Belt and Road[D], Henan: Zhengzhou University, 2019: 20-25. ] [ Hao L G. Physiographic Characteristics and Water Resources analysis of the regions among the Belt and Road[D], Henan: Zhengzhou University, 2019:20-25. ]
[36] 杨凤海, 王帅, 刘晓庆, 等. 基于ArcGIS的近10年黑龙江省旬平均气温插值与建库[J]. 黑龙江农业科学, 2009(5):126-130. [ YangF H, WangS, LiuX Q, et al. The spatial interpolation and GeoDatabase foundation of average 10-day air temperature of Heilongjiang Province in recent 10 years based on ArcGIS[J]. Heilongjiang Agricultural Sciences, 2009(5):126-130. ] [ Yang F H, Wang S, Liu X Q, et al. The spatial interpolation and GeoDatabase foundation of average 10-day air temperature of Heilongjiang Province in recent 10 years based on ArcGIS[J]. Heilongjiang Agricultural Sciences, 2009(5):126-130. ]
[37] 马轩龙, 李春娥, 陈全功. 基于GIS的气象要素空间插值方法研究[J]. 草业科学, 2008,25(11):13-19. [ MaX L, LiC E, ChenQ G. Study on the method of GIS based spatial interpolation of climate factors in China[J]. Pratacultural Science, 2008,25(11):13-19. ] [ Ma X L, Li C E, Chen Q G. Study on the method of GIS based spatial interpolation of climate factors in China[J]. Pratacultural Science, 2008,25(11):13-19. ]
[38] 孙钰森, 王维芳, 李国春. 基于地理加权回归克里格模型的帽儿山地区森林碳储量空间分布[J]. 应用生态学报, 2019,30(5):223-231. [ SunY S, WangW F, LiG C. Spatial distribution of forest carbon storage in Maoershan region,Northeast China based on geographically weighted regression kriging model[J]. Chinese Journal of Applied Ecology, 2019,30(5):223-231. ] [ Sun Y S, Wang W F, Li G C. Spatial distribution of forest carbon storage in Maoershan region,Northeast China based on geographically weighted regression kriging model[J]. Chinese Journal of Applied Ecology, 2019,30(5):223-231. ]
