[1] Lambert F.Online community information seeking:the queries of three communities in Southwestern Ontario[J].Information Processing & Management,2010,46(3):343-361.
[2] Ortiz-Cordova A,Jansen B.Classifying web search queries in order to identify high revenue generating customers[J].Journal of the American Society for Information Sciences and Technology,2012,63(7):1426-1441.
[3] McLaren N,Shanbhoge R.Using Internet Search Data as Economic Indicators[R].London,UK:Bank of England,2011:134-140.
[4] Choi H,Varian H.Predicting Initial Claims for Unemployment Benefits[R].Google Inc.,2009.
[5] Vosen S,Schmidt T.Forecasting private consumption:survey-based indicators vs.Google trends[J].Journal of Forecasting,2011,30(6):565-578.
[6] Kholodilin K A,Podstawski M,Siliverstovs B.Do Google Searches Help in Now Casting Private Consumption?A Real-Time Evidence for the US[R].Berlin,Germany:German Institute of Economic Research,2010.
[7] Wu L,Brynjolfsson E.The Future of Prediction:How Google Searches Foreshadow Housing Prices and Sales[R].Cambridge,USA:MIT,2010.
[8] Webb G K.Internet search statistics as a source of business intelligence:Searches on foreclosure as an estimate of actual home foreclosures[J].Issues in Information Systems,2009,10(2):82-87.
[9] Askitas N,Zimmermann K F.Google econometrics and unemployment forecasting[J].Applied Economics Quarterly,2009,55(2):107-120.
[10] Baker S R,Fradkin A.What drives job search? evidence from Google search data[Z].SIEPR Discussion Paper No.10-020.Stanford University,2011.
[11] Preis T,Reith D,Stanley H E.Complex dynamics of our economic life on different scales:insights from search engine query data[J].Philosophical Transactions of the Royal Society of London,2010,368:5707-5719.
[12] Da Z,Engelberg J,Gao P.In search of attention[J].Journal of Finance,2011,66(5):1461-1499.
[13] Guzman G.Internet search behavior as an economic forecasting tool:the case of inflation expectations[J].Journal of Economic and Social Measurement,2011,36:119-167.
[14] Rech J.Discovering trends in software engineering with Google Trends[J].ACM SIGSOFT Software Engineering Notes,2007,32(2):2-3.
[15] Goel S,Hofman J M,Lahaie S,et al.Predicting consumer behavior with web search[J].Proceedings of the National Academy of Sciences of the United States of America,2010,107(41):17486-17490.
[16] Reilly S,Richey S,Taylor J B.Using Google search data for state politics research:an empirical validity test using roll-off data[J].State Politics & Policy Quarterly,2012,12(2):146-159.
[17] Vaughan L.Web search volume as a predictor of academic fame:an exploration of Google trends[J].Journal of the Association for Information Science and Technology,2013,65(4):707-720.
[18] Xiang Z,Pan B.Travel queries on cities in the United States:implications for search engine marketing for tourist destinations[J].Tourism Management,2011,32(1):88-97.
[19] Gawlik E,Kabaria H,Kaur S.Predicting Tourism Rrends with Google Insights[R].2011.
[20] Choi H,Varian H.Predicting present with google trends[J].Economic Record,2012,88(S1):2-9.
[21] Yang Y,Pan B,Song H.Predicting hotel demand using destination marketing organization's WEB traffic data[J].Journal of Travel Research,2014,53(4):433-447.
[22] 王劲峰,葛咏,李连发,等.地理学时空数据分析方法[J].地理学报,2014,69:1326-1345.
[23] 张涛,曹广超,曹生奎.2000-2012年青海湖流域NPP时空分布特征[J].中国沙漠,2015,35(4):1072-1080.
[24] 王芳,张小雷,杨兆萍,等.4 000 a BP以来伊犁河谷文化遗址时空分布及变异性[J].中国沙漠,2015,35(4):1103-1112.
[25] 高婧,李晋昌,杨永刚.汾河源区生态系统服务价值的时空变化[J].中国沙漠,2015,35(3):814-820.
[26] 张慧.1990-2010年西北地区县域人口数量与空间集疏变化时空分析[J].干旱区资源与环境,2013,27:33-39.
[27] 单楠,杨晓晖,时忠杰,等.京津风沙源区1959-2011年潜在蒸散气候敏感性的时空变异[J].中国沙漠,2015,35(5):1330-1337.
[28] 曹永旺,延军平.1971-2013年环渤海地区风速的时空特征[J].中国沙漠,2015,35(5):1320-1329.
[29] 张伟,段学军,张维阳.长三角地区可持续发展测度与演化分析[J].长江流域资源与环境,2013,22(10):1243-1249.
[30] 张仁平,冯琦胜,郭靖,等.2000-2012年中国北方草地NDVI和气候因子时空变化[J].中国沙漠,2015,35(5):1403-1412.
[31] Loarie S R,Duffy P B,Hamilton H,et al.The velocity of climate change[J].Nature,2009,462:1052-1055.
[32] Li A,Bo Y,Zhu Y,et al.Blending multi-resolution satellite sea surface temperature (SST) products using Bayesian maximum entropy method[J].Remote Sensing of Environment,2013,135:52-63.
[33] Chalmond B.Spatiotemporal graphical modeling with innovations based on multi-scale diffusion kernel[J].Spatial Statistics,2014,7:40-61.
[34] Diaz-Avalos C,Mateu P J J.Significance tests for covariate-dependent trends in inhomogeneous spatiotemporal point processes[J].Stochastic Environmental Research and Risk Assessment,2014,28:593-609.
[35] Wang J F,Xu C D,Hu M G,et al.A new estimate of the China temperature anomaly series and uncertainty assessment in 1900-2006[J].Journal of Geophysical Research:Atmospheres,2014,119(1):1-9.
[36] 路紫,赵亚红,吴士锋,等.旅游网站访问者行为的时间分布及导引分析[J].地理学报,2007,62(6):621-630.
[37] 林志慧,马耀峰,刘宪锋,等.旅游景区网络关注度时空分布特征分析[J].资源科学,2012,34(12):2427-2433.
[38] 马丽君,孙根年,黄芸玛,等.城市国内客流量与游客网络关注度时空相关分析[J].经济地理,2011,31(4):680-685.
[39] 吴必虎.上海城市游憩者流动行为研究[J].地理学报,1994,49(2):117-127.
[40] Cressie N,Wikle C K.Statistics for Spatio-Temporal Data[M]. Hoboken,USA:Wiley Press,2011.
[41] Mac Eachren A.How Maps Work:Representation,Visualization,and Design[M].New York,USA:Guilford Press,1995.
[42] Ginsberg,Mohebbi,Patel,et al,Detecting influenza epidemics using search engine query data[J].Nature,2009,457:1012-1014.
[43] Pelat C,Turbelin C,Bar-Hen A,et al.More diseases tracked by using Google Trends[J].Emerging Infectious Diseases,2009,15(8):1327-1328.