Liu YS, Yang R.2012.Spatial characteristics and formation mechanism of the county urbanization in China. Acta Geographica Sinica 67(8): 1011-1020.

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2013

9. Cao F, Ge Y, Wang JF. 2013. Optimal discretization for geographical detectors-based risk assessment. GIScience & Remote Sensing 50(1): 78-92.

10. Li XW, Xie YF, Wang JF, Christakos G, Si JL, Zhao HN, Ding YQ, Li J. 2013. Influence of planting patterns on Fluoroquinolone residues in the soil of an intensive vegetable cultivation area in north China. Science of the Total Environment 458-460: 63-69.

11. Lee WC. 2013. Assessing causal mechanistic interactions: a peril ratio index of synergy based on multiplicativity. PLoS ONE 8(6): e67424. doi:10.1371/journal.pone.0067424.

12. Raghavan RK, Brenner KM, Harrington Jr JA, Higgins JJ, Harkin KR. 2013. Spatial scale effects in environmental risk-factor modelling for diseases. Geospatial Health 7(2): 169-182.

13. Wang JF, Wang Y, Zhang J, Christakos G, Sun JL, Liu X, Lu L, Fu XQ, Shi YQ, Li XM. 2013. Spatiotemporal transmission and determinants of typhoid and paratyphoid fever in Hongta District, China. PLoS Neglected Tropical Diseases 7(3): e2112.

14. Wang JF, Xu CD, Tong SL, Chen HY, Yang WZ. 2013. Spatial dynamic patterns of hand-foot-mouth disease in the People’s Republic of China. Geospatial

Health 7(2): 381-390.

15. 胡碧松, 龚建华, 周洁萍, 孙麇, 杨荔阳, 夏宇. 2013. 疾病传播输入输出流的时空特征分析——以北京SARS 流行为例. 中国科学: 地球科学 43: 1499–1517.

Hu BS, Gong JH, Zhou JP, Zhou JP, Yang LY, Xia Y. 2013. Spatial-temporal characteristics of epidemic spread in-out flow––Using SARS epidemic in Beijing as a case study. Science China: Earth Sciences 56: 1380–1397,

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2014

16. Bai HX, Ge Y, Wang JF, Li DY, Liao YL, Zheng XY. 2014. A method for extracting rules from spatial data based on rough fuzzy sets. Knowledge-Based Systems 57: 28-40.

17. Cao F, Ge Y, Wang JF. 2014. Spatial data discretization methods for geocomputation. International Journal of Applied Earth Observation and Geoinformation 26 (2014) 432–440.

18. Hu Y, Gao J, Chi M, Luo C, Lynn H, Sun LQ, Tao B, Wang DC, Zhang ZJ, Jiang QW. 2014. Spatio-temporal patterns of schistosomiasis Japonica in lake and marshland areas in China: the effect of snail habitats. American Journal of Tropical Medicine and Hygiene 91(3): 547–554.

19. Hu Z, Tang GA, Lu GN. 2014. A new geographical language: a perspective of GIS. Journal of Geographical Sciences 24(3): 560-576.

20. Huang JX, Wang JF, Bo YC, Xu CD, Hu MG. 2014. Identification of health risks of Hand, Foot and Mouth Disease in China using the Geographical Detector Technique. International Journal of Environmental Research and Public Health 11: 3407-3423.

21. Luo W. 2014. Impact cratering as a major factor controlling valley dissection density on MARS - a geographical detector approach. 45^th Lunar and Planetary Science Conference. 2580.pdf.

22. Qian Q, Zhao J, Fang LQ, Zhou H, Zhang WJ, Wei L, Yang H, Yin WW, Cao WC, Li Q. 2014. Mapping risk of plague in Qinghai-Tibetan Plateau, China. BMC Infectious Diseases 14: 382.

23. Ren Y, Deng LY, Zuo SD, et al. 2014. Geographical modeling of spatial interaction between human activity and forest connectivity in an urban landscape of southeast China. Landscape Ecology 29(10): 1741-1758.

24. Wu JL, Zhang CS, Pei LJ, Chen G, Zheng XY. 2014. Association between risk of birth defects occurring level and arsenic concentrations in soils of Lvliang, Shanxi province of China. Environmental Pollution 191: 1-7.

25. Xu EQ, Zhang HQ. 2014. Characterization and interaction of driving factors in karst rocky desertification: a case study from Changshun, China. Solid Earth 5: 1329-1340.

26. 蔡芳芳，濮励杰. 2014. 南通市城乡建设用地演变时空特征与形成机理. 资源科学 36(4): 0731-0740.

Cai FF, Pu LJ. 2014. Spatial-Temporal characteristics and formation mechanism of Urban-Rural construction land in Nantong City. Resources Science 36(4): 0731-0740.

27. 丁悦，蔡建明，任周鹏，杨振山. 2014. 基于地理探测器的国家级经济技术开发区经济增长率空间分异及影响因素. 地理科学进展 33(5): 657-666.

Ding Y, Cai JM, Ren ZP, Yang ZS. 2014. Spatial disparities of economic growth rate of China’s National-level ETDZs and their determinants based on geographical detector analysis. Progress in Geography 33(5): 657-666.

28. 胡丹，舒晓波，尧波，曹安庆. 2014. 江西省县域人均粮食占有量的时空格局演变. 地域研究与开发 33(4): 157-162.

Hu D, Shu XB, Yao B, Cao QA. 2014. The evolvement of spatial-temporal pattern of per capita grain possession in counties of Jiangxi Province. Areal Research And Development 33(4): 157-162.

29. 李成悦，王腾，周勇. 2014. 湖北省区域经济格局时空演化及其影响因素分析. 发展研究 2014(1): 47-51.

Li CY, Wang T, Zhou Y. 2014. The evolvement of Spatial-Temporal and determinants of regional economic patterns in Hubei Province. Development Research 2014(1): 47-51.

30. 倪书华. 2014. 空间统计学及其在公共卫生领域中的应用. 汕头大学学报（自然科学版）29(4): 61-67.

Ren SH. 2014. Spatial statistics and its application to the field of public health. Journal of Shantou University(Natural Science) 29(4): 61-67.

31. 通拉嘎，徐新良，付颖，魏凤华. 2014. 地理环境因子对螺情影响的探测分析. 地理科学进展 33(5): 625-635.

Tong LG, Xu XL, Fu Y, Wei FH. 2014. Impact of environmental factors on snail distribution using geographical detector model. Progress in Geography 33(5): 625-635.

32. 魏凤娟，李江风，刘艳中. 2014. 湖北县域土地整治新增耕地的时空特征及其影响因素分析. 农业工程学报 30(14): 267-275.

Wei FJ, Li JF, Liu YZ.2014. Spatial-temporal characteristics and impact factors of newly increased farmland by land consolidation in Hubei province at county level. Transactions of the Chinese Society of Agricultural Engineering 30(14): 267-276.

33. 杨勃, 石培基. 2014. 甘肃省县域城镇化地域差异及形成机理. 干旱区地理 37(4): 838-845.

Yang B, Shi PJ. 2014. Geographical features and formation mechanism of county level urbanization in Gansu Province. Arid Land Geography 37(4): 838-845.

34. 俞佳根，叶世康. 2014. 空间视角下中国对外直接投资与产业结构升级水平研究. 商业经济研究 34: 127-128.

Yu JG, Ye SK.2014. Outward foreign direct investment and industrial structure upgrade level from the perspective of spatial in China. Journal of Commercial Economics 34: 127-128.

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2015

35. Chen YH, Ge Y, Heuvelink GBM, Hu JL, Jiang Y. 2015. Hybrid constraints of pure and mixed pixels for soft-then-hard super-resolution mapping with multiple shifted images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8(5): 2040-2052.

36. Hu Y, Bergquist R, Lynn H, Gao FH, Wang QZ, Zhang SQ, Li R, Sun LQ, Xia CC, Xiong CL, Zhang ZJ, Jiang QW. 2015. Sandwich mapping of schistosomiasis risk in Anhui Province, China. Geospatial Health 10: 324.

37. Hu Y, Li R, Bergquist R, Lynn H, Gao FH, Wang QZ, Zhang AQ, Sun LQ, Zhang ZJ, Jiang QW. 2015. Spatio-temporal transmission and environmental determinants of schistosomiasis Japonica in Anhui Province, China. PLoS Neglected Tropical Diseases 9(2): e0003470. doi:10.1371/journal.pntd.0003470.

38. Lee WC. 2015. Testing for sufficient-cause gene-environment interactions under the assumptions of independence and Hardy-Weinberg equilibrium. American Journal of Epidemiology 182(1): 9–16.

39. Shen J, Zhang N, Gexi geduren, He B, Liu CY, Li Y, Zhang HY, Chen XY, Lin H. 2015. Construction of a GeogDetector-based model system to indicate the potential occurrence of grasshoppers in Inner Mongolia steppe habitats. Bulletin of Entomological Research 105: 335-346.

40. Yang R, Liu YS, Long HL, Qiao LY. 2015. Spatio-temporal characteristics of rural settlements and land use in the Bohai Rim of China. Journal of Geographical Sciences 25(5): 559-572.

41. Zhu H, Liu JM, Chen C, Lin J, Tao H. 2015. A spatial-temporal analysis of urban recreational business districts: A case study in Beijing, China. Journal of Geographical Sciences 25(12): 1521-1536.

42. 毕硕本, 计晗, 陈昌春, 杨鸿儒, 沈香. 2015. 地理探测器在史前聚落人地关系研究中的应用与分析. 地理科学进展 34(1): 118-127.

Bi SB, Ji H, Chen CC, Yang HR, Shen X.2015.Application of geographical detector in human-environment relationship study of prehistoric settlements. Progress in Geography 34(1): 118-127

43. 崔日明, 俞佳根. 2015. 基于空间视角的中国对外直接投资与产业结构升级水平研究. 福建论坛 (人文社会科学版) 2015(2): 26-33.

Cui RM, Yu JG.2015. Outward foreign direct investment and industrial structure upgrade level from the perspective of spatial in China. Fujian Tribune (The Humanities & Social Sciences Monthly) 2015(2): 26-33.

44. 李一凡，王卷乐，高孟绪. 2015. 自然疫源性疾病地理环境因子探测及风险预测研究综述. 地理科学进展 34(7): 926-935.

Li YF, Wang JL, Gao MX. 2015. A review of geographical and environmental factor detection and risk prediction of natural focus diseases. Progress in Geography 34(7): 926-935.

45. 徐秋蓉郑新奇. 2015. 一种基于地理探测器的城镇扩展影响机理分析法. 测绘学报 44 S0: 96-101.

Xu QR, Zheng XQ.2015. Analysis of influencing mechanism of urban growth using geographical detector. Acta Geodaetica at Cartographica Sinica 44(S0): 96-101.

46. 杨忍, 刘彦随, 龙花楼, 陈呈奕. 2015. 基于格网的农村居民点用地时空特征及空间指向性的地理要素识别——以环渤海地区为例. 地理研究 34(6): 1077-1087.

Yang R, Liu YS, Long HL, Chen CY. 2015. Spatial-temporal characteristics of rural residential land use change and spatial directivity identification based on grid in the Bohai Rim in China. Geographical Research 34(6): 1077-1087.

47. 于佳，刘吉平. 2015. 基于地理探测器的东北地区气温变化影响因素定量分析. 湖北农业科学 54(19): 4682-4687.

Yu J, Liu JP.2015. Quantitative Analysis with Geographical Detector on the influence factor of temperature variation in Northeast China. Hubei Agricultural Sciences 54(19): 4682-4687.

48. 湛东升, 张文忠, 余建辉, 孟斌, 党云晓. 2015. 基于地理探测器的北京市居民宜居满意度影响机理. 地理科学进展 34(8): 966-975.

Zhan DS, Zhang WZ, Yu JH, Meng B, Dang XY.2015. Analysis of influencing mechanism of residents’ livability satisfaction in Beijing using geographical detector. Progress in Geography 34(8): 966-975.

49. 张晗, 任志远. 2015. 基于Whittaker滤波的陕西省植被物候特征. 中国沙漠 45(4): 901-906.

Zhang H, Ren ZY.2015. Remote sensing analysis of vegetation phenology characteristics in Shanxi Province based on Whittaker smoother method. Journal of Desert Research 35(4): 901-906.

50. 朱鹤, 刘家明, 陶慧, 李玏, 王润. 2015. 北京城市休闲商务区的时空分布特征与成因. 地理学报 70(8): 1215-1228.

Zhu H, Liu JM, Tao H, Li G, Wang R.2015.Temporal-spatial pattern and contributing factors of urban RBDs in Beijing. Arta Geographica Sinica 70(8): 1215-1228.

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2016

51. Chen K, Ni MJ, Cai MG, Wang J, Huang DR, Chen HR, Wang X, Liu MY. 2016. Optimization of a coastal environmental monitoring network based on the Kriging method: a case study of Quanzhou Bay, China. BioMed Research International. http://dx.doi.org/10.1155/2016/7137310.

52. Deng M, Fan ZD, Liu QL, Gong JY. 2016. A Hybrid Method for Interpolating Missing Data in Heterogeneous Spatio-Temporal Datasets. ISPRS Int. J. Geo-Inf. 2016, 5, 13.

53. Du Z, Xu X, Zhang H, Wu Z, Liu Y. 2016. Geographical detector-based identification of the impact of major determinants on aeolian desertification risk. PLoS ONE 11(3): e0151331.

54. Fan LX, Wu EQ, Liu J, Qu XC, Ning BA, Liu Y. 2016. Distribution Characteristics of Spermophilus dauricus in Manchuria City in China in 2015 through “3S” Technology. Biomedical Environmental Sciences 29(8): 603-608.

55. Fei XF, Wu JP, Liu QM, Ren YJ, Lou ZH. 2015. Spatiotemporal analysis and risk assessment of typhoid cancer in Hangzhou, China. Stochastic Environmental Research and Risk Analysis 30: 2155–2168.

56. Fei XF, Wu JP, Liu QM, Ren YJ, Lou ZH. 2015. Spatiotemporal analysis and risk assessment of thyroid cancer in Hangzhou, China. Stochastic Environmental Research and Risk Assessment 30: 2155–2168.

57. Ju HR, Zhang ZX, Zuo LJ, Wang JF, Zhang SR, Wang X, Zhao XL. 2016. Driving forces and their interactions of built-up land expansion based on the geographical detector – a case study of Beijing, China. International Journal of Geographical Information Science 30(11): 2188–2207.

58. Liang P, Yang XP. 2016. Landscape spatial patterns in the Maowusu (Mu Us) Sandy Land, northern China and their impact factors. Catena 145: 321-333.

59. Liao YL, Zhang Y, He L, Wang JF, Liu X, Zhang NX, Xu B. 2016. Temporal and spatial analysis of neural tube defects and detection of geographical factors in Shanxi Province, China. PLoS ONE 11(4): e0150332. doi:10.1371/journal.pone.0150332.

60. Lou CR, Liu HY, Li YF, Li YL. 2016. Socioeconomic drivers of PM2.5 in the accumulation phase of air pollution episodes in the Yangtze river delta of China. International Journal of Environmental Research and Public Health 13: 928.

61. Luo W, Jasiewicz J, Stepinski T, Wang JF, Xu CD, Cang XZ. 2016. Spatial association between dissection density and environmental factors over the entire conterminous United States. Geophysical Research Letters 43(2): 692-700.

62. Ren J, Gao BB, Fan HM, Zhang ZH, Zhang Y, Wang JF. 2016. Assessment of pollutant mean concentrations in the Yangtze estuary based on MSN theory. Marine Pollution Bulletin 113: 216-223.

63. Ren Y, Deng LY, Zuo SD. Song XD, Liao YL, Xu CD, Chen Q, Hua LZ, Li ZW. 2016. Quantifying the influences of various ecological factors on land surface temperature of urban forests. Environmental Pollution 216: 519-529.

64. Tan JT, Zhang PY, Lo KV, Li J, Liu SW. 2016. The urban transition performance of resource-based cities in northeast China. Sustainability 8: 1022; doi:10.3390/su8101022.

65. Todorova Y, Lincheva S, Yotinov I, Topalova Y. 2016. Contamination and ecological risk assessment of long-term polluted sediments with heavy metals in small hydropower cascade. Water Resources Management 30: 4171-4184.

66. Wang JF, Zhang TL, Fu BJ. 2016. A measure of spatial stratified heterogeneity. Ecological Indicators 67: 250-256.

67. Wang XG, Xi JC, Yang DY, Chen T. 2016. Spatial differentiation of rural touristization and its determinants in China: a geo-detector-based case study of Yesanpo scenic area. Journal of Resources and Ecology 7(6): 464-471.

68. Wu RN, Zhang JQ, Bao YH, Zhang F. 2016. Geographical detector model for influencing factors of industrial sector carbon dioxide emissions in Inner Mongolia, China. Sustainability 8(2): 149.

69. Yang R, Xu Q, Long HL. 2016. Spatial distribution characteristics and optimized reconstruction analysis of China ’s rural settlements during the process of rapid urbanization. Journal of Rural Studies 47: 413-424.

70. Zhang N, Jiang YC, Liu CY, Shen J. 2016. A cellular automaton model for grasshopper population dynamics in Inner Mongolia steppe habitats. Ecological Modelling 329: 5-17.

71. Zhang T, Yin F, Zhou T, Zhang XY & Li XX. 2016. Multivariate time series analysis on the dynamic relationship between Class B notifiable diseases and gross domestic product (GDP) in China. Scientific Reports 6: 29.

72. Zhang WJ, Du ZC, Zhang DM, Yu SC, Hao YT. 2016. Boosted regression tree model-based assessment of the impacts of meteorological drivers of hand, foot and mouth disease in Guangdong, China. Science of the Total Environment 553 (2016) 366–371.

73. Zhao XY, Cai J, Feng DL, Bai YQ, Xu B. 2016. Meteorological influence on the 2009 influenza a (H1N1) pandemic in mainland China. Environmental Earth Sciences 75: 878.

74. 蔡建南，刘启亮，徐枫，，邓敏，何占军，唐建波. 2016．多层次空间同位模式自适应挖掘方法．测绘学报 45(4): 475-485.

75. 陈昌玲，张全景，吕晓，黄贤金. 2016. 江苏省耕地占补过程的时空特征及驱动机理. 经济地理 36(4): 155-163.

Chen CL, Zhang QJ, Lv X, Huang XJ. 2016. Analysis on spatial-temporal characteristics and driving mechanisms of cropland occupation and supplement in Jiangsu Province. Economic Geography 36(4): 155-163.

76. 陈业滨，李卫红，黄玉兴，李晓歌，华家敏. 2016. 广州市登革热时空传播特征及影响因素. 热带地理 36(5): 767-775.

Chen YB, Li WH, Huang YX, Hua JM. 2016. Spatio-temporal spreading features and the influence factors of Dengue Fever in downtown Guangzhou. Tropical Geography 36(5):767-775.

77. 李俊刚，闫庆武，熊集兵，黄园园. 2016. 贵州省煤矿区植被指数变化及其影响因子分析. 生态与农村环境学报 32(3): 374-378.

Li JG, Yan QW, Xiong JB, Huang YY. 2016. Variation of vegetation index in coal mining areas in Guizhou Province and its affecting factors. Journal of Ecology and Rural Environment 32(3): 374-378.

78. 李涛，廖和平，褚远恒，孙海，李靖，杨伟. 2016. 重庆市农地非农化空间非均衡及形成机理. 自然资源学报 31(11): 1844-1857.

Li T, Liao HP, Zhu YH, Sun H, Li J, Yang W.2016.Spatial disequilibrium and its formation mechanism of farmland conversion in Chongqing. Journal of Natural Resources 31(11): 1844-1857.

79. 李媛媛，徐成东，肖革新，罗广祥. 2016. 京津唐地区细菌性痢疾社会经济影响时空分析. 地球信息科学学报 18(12): 1615-1623.

Li YY, Xu CD, Xiao GX, Luo GX. 2016. Spatial-temporal analysis of social-economic factors of Bacillary dysentery in Beijing-Tianjin-Tangshan,China. Journal of Geo-information Science 18(12): 1615-1623.

80. 廖颖，王心源，周俊明. 2016. 基于地理探测器的大熊猫生境适宜度评价模型及验证. 地球信息科学学报 18(6): 767-778.

Liao Y, Wang XY, Zhou JM.2016.Suitability assessment and validation of giant panda habitat based on Geographical Detector. Journal of Geo-information Science 18(6): 767-778.

81. 陶海燕，潘中哲，潘茂林，卓莉，徐勇，鹿苗. 2016. 广州大都市登革热时空传播混合模式. 地理学报 71(9): 1653-1662.

Tao HY, Pan ZZ, Pan ML, Zhuo L, Xu Y, Lu M.2016.Mixing spatial-temporal transmission patterns of metropolis dengue fever:a case study of Guangzhou , China. Acta Geographica Sinica 71(9): 1653-1662.

82. 王方，牛振国，许盼盼. 2016. 基于景观格局的常熟市地表热环境季节变化特征. 生态学杂志 35(12): 3404-3412.

Wang F, Niu ZG, Xu PP.2016.Seasonal variation of the surface thermal environment in Changshu City based on landscape pattern. Chinese Journal of Ecology 35(12): 3404-3412.

83. 王录仓，武荣伟，刘海猛，周鹏，康江江. 2016. 县域尺度下中国人口老龄化的空间格局与区域差异. 地理科学进展 35(8): 921-931.

Wang LC, Wu RW, Liu HM, Zhou P, Kang JJ. 2016. Spatial patterns and regional differences of population ageing in China based on the county scale. Progress in Geography 35(8): 921-931.

84. 王录仓，武荣伟. 2016. 中国人口老龄化时空变化及成因探析-基于县域尺度的考察. 中国人口科学 2016(4): 74-84.

Wang LC, Wu RW. 2016. A study on spatial-temporal pattern of population ageing and its factors in China: based on county-scale examination. Chinese Journal of Population Science 2016(4): 74-84.

85. 王曼曼，吴秀芹，吴斌，张宇清，董贵华. 2016. 盐池北部风沙区乡村聚落空间格局演变分析. 农业工程学报 32(8): 260-271.

Wang MM, Wu XQ, Wu B, Zhang YQ, Dong GH. 2016. Evolution analysis of spatial pattern of rural settlements in sandy area of northern Yanchi. Transactions of the Chinese Society of Agricultural Engineering 32(8): 260-271.

86. 王少剑，王洋，蔺雪芹，张虹鸥. 2016. 中国县域住宅价格的空间差异特征与影响机制. 地理学报 71(8): 1329-1342.

Wang SJ, Wang Y, Lin XQ, Zhang HO. 2016. Spatial differentiation patterns and influencing mechanism of housing prices in China: based on data of 2872 counties. Acta Geographica Sinica 71(8): 1329-1342.

87. 谢帅，刘士彬，段建波，戴芹. 2016. OSDS注册用户空间分布特征及影响因素分析. 地球信息科学学报 18(10): 1332-1340.

Xie S, Liu SB, Duan JB, Dai Q. 2016. Spatial distribution characteristics of OSDS registered users and its influencing factors. Journal of Geo-information Science 18(10): 1332-1340.

88. 杨忍，刘彦随，龙花楼，王洋，张怡筠. 2016. 中国村庄空间分布特征及空间优化重组解析. 地理科学 36(2): 170-179.

Yang R, Liu YS, Long HL, Wang Y, Zhang YJ. 2016. Spatial distribution characteristics and optimized reconstructing analysis of rural settlement in China. Scientia Geographica Sinica 36(2): 170-179.

89. 周磊，武建军，贾瑞静，梁念，张凤英，倪永，刘明. 2016. 京津冀PM2.5时空分布特征及其污染风险因素. 环境科学研究 29(4): 483-493.

Zhou L, Wu JJ, Jia RJ, Liang N, Zhang FY, Ni Y, Liu M. 2016. Investigation of temporal-spatial characteristics and underlying risk factors of PM2.5 pollution in Beijing-Tianjin-Hebei area. Research of Environmental Sciences 29(4): 483-493.

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2017

90. Adegboye OA, Gayawan E, Hanna F. 2017. Spatial modelling of contribution of individual level risk factors for mortality from Middle East respiratory syndrome coronavirus in the Arabian Peninsula. PLoS ONE 12(7): e0181215.

91. Benedetti R, Espa G, Taufer E. 2017. Model-based variance estimation in non-measurable spatial designs. Journal of Statistical Planning and Inference 181: 52–61.

92. Cao Z , Liu T, Li X, Wang J, Lin HL, Chen LL, Wu ZF, Ma WJ. 2017. Individual and interactive effects of socio-ecological factors on dengue fever at fine spatial scale: a geographical detector-based analysis. International Journal of Environmental Research and Public Health 14: 795.

93. Caulley L, Sawada M, Hinther K, Ko Y-t, Crowther JA, Kontorinis G. 2017. Geographic distribution of vestibular schwannomas in West Scotland between 2000-2015. PLoS ONE 12(5): e0175489.

94. Chen H, Leinonen I, Marshall B, Taylor AJ. 2017. Conceptual spatial crop models for potato production. Advances in Animal Biosciences: Precision Agriculture (ECPA) 2017. 8(2): 678–683.

95. Cheng SF, Lu F. 2017. A two-step method for missing spatio-temporal data reconstruction. ISRS International Journal of Geo-Information 6: 187.

96. Dai YH, Zhou WX. 2017. Temporal and spatial correlation patterns of air pollutants in Chinese cities. PLoS ONE 12(8): e0182724.

97. Du ZQ, Zhang XY, Xu XM, Zhang H, Wu ZT, Pang J. 2017. Quantifying influences of physiographic factors on temperate dryland vegetation, Northwest China. Scientific Reports 7: 40092.

98. Fang YB, Wang LM, Ren ZP, Yang Y, Mou CF, Qu QS. 2017. Spatial heterogeneity of energy-related CO2 emission growth rates around the world and their determinants during 1990–2014. Energies 10: 367.

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185. 邹　滨，许　珊，张　静. 2017. 土地利用视角空气污染空间分异的地理分析. 武汉大学学报 信息科学版 42(2): 216-222.

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2018

186. Cagliero L, Cerquitelli T, Chiusano S, Garza P, Attanasio A. 2018. Characterizing unpredictable patterns in Wireless Sensor Network data. Information Sciences 467: 149-162.

187. Cang XZ, Luo W. 2018. Spatial association detector (SPADE). International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2018.1476693.

188. Chen B, Song YM, Kwan MP, Huang B, Xu B. 2018. How do people in different places experience different levels of air pollution? Using worldwide Chinese as a lens. Environmental Pollution 238: 874-883.

189. Chen GL, Luo J, Zhang CY, Jiang L, Tian LL, Chen GP. 2018. Characteristics and influencing factors of spatial differentiation of urban black and odorous waters in China. Sustainability 10: 4747.

190. Cheng Z, Yang ZS, Gao HN, Tao H, Xu M. 2018. Does PPP matter to sustainable tourism development? an analysis of the spatial effect of the tourism PPP policy in China. Sustainability 10: 4058.

191. Chien LC, Lin RT, Liao YQ, Sy FS, Pérez A. 2018. Surveillance on the endemic of Zika virus infection by meteorological factors in Colombia: a population-based spatial and temporal study. BMC Infectious Diseases 18: 180.

192. Deka MA, Morshed N. 2018. Mapping disease transmission risk of Nipah Virus in South and Southeast Asia. Tropical Medicine and Infectious Disease 3: 57.

193. Ding YT, Zhang M, Qian XY, Li CR, Chen S, Wang WW. 2018. Using the geographical detector technique to explore the impact of socioeconomic factors on PM2.5 concentrations in China. Journal of Cleaner Production. doi: 10.1016/j.jclepro.2018.11.159

194. Fei XF, Lou ZH, Christakos G, Ren ZQ, Liu QM, Lv XN. 2018. The association between heavy metal soil pollution and stomach cancer: a case study in Hangzhou City, China. Environmental Geochemistry and Health. https://doi.org/10.1007/s10653-018-0113-0.

195. Gao JB, Wang H, Zuo LY. 2018. Spatial gradient and quantitative attribution of karst soil erosion in Southwest China. Environmental Monitoring and Assessment 190: 730.

196. Golkar F, Sabziparvar AA, Khanbilvardi R, Nazemosadat JM, Zand- Parsa S, Rezaei Y. 2018. Estimation of instantaneous air temperature using remote sensing data. International Journal of Remote Sensing 39(1): 258–275.

197. He J, Christakos G, Wu J, Cazelles B, Qian Q, Mu D, et al. 2018. Spatiotemporal variation of the association between climate dynamics and HFRS outbreaks in Eastern China during 2005-2016 and its geographic determinants. PLoS Neglected Tropical Diseases 12(6): e0006554.

198. Hou YX, Zhao HF, Zhang Z, Wu KN. 2018. A novel method for predicting cadmium concentration in rice grain using genetic algorithm and back-propagation neural network based on soil properties. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-018-3458-0.

199. Hu XS, Xu HQ. 2018. A new remote sensing index for assessing the spatial heterogeneity in urban ecological quality: A case from Fuzhou City, China. Ecological Indicators 89: 11-21.

200. Huang XF, Wang SJ, Zhou YC. 2018. Soil organic carbon change relating to the prevention and control of rocky desertification in Guizhou Province, SW China. International Journal of Global Warming 15(3): 315-332.

201. Jiang QZ. 2018. The impact of perceived and observed food environments on fruit and vegetable consumption and obesity: a theory-based study among US older adults. PhD Dissertations 1249. University of Massachusetts Amherst. USA.

202. Jiang XT, Wang Q, Li RR. 2018. Investigating factors affecting carbon emission in China and the USA: A perspective of stratified heterogeneity. Journal of Cleaner Production. doi: 10.1016/j.jclepro.2018.07.160

203. Kim YM, Tanaka K, Ge CZ. 2018. Estimating the provincial environmental Kuznets curve in China: a geographically weighted regression approach. Stochastic Environmental Research and Risk Assessment 32: 2147-2163.

204. King MC, Staicu AM, Davis JM, Reich BJ, Eder B. 2018. A functional data analysis of spatiotemporal trends and variation in fine particulate matter. Atmospheric Environment. 10.1016/j.atmosenv.2018.04.001.

205. Lan F, Wu Q, Zhou T, Da HL. 2018. Spatial effects of public service facilities accessibility on housing prices: A case study of Xi’an, China. Sustainability 10: 4503.

206. Li DY, Liao YL. 2018. Spatial characteristics of heavy metals in street dust of coal railway transportation hubs: A case study in Yuanping, China. International Journal of Environmental Research and Public Health 15: 2662.

207. Li XJ, Xin XZ, Peng ZQ, Zhang HL Yi CX, Li B. 2018. Analysis of the spatial variability of land surface variables for ET estimation: case study in HiWATER campaign. Remote Sensing 10: 91.

208. Liao YL, Li DY, Zhang NX. 2018. Comparison of interpolation models for estimating heavy metals in soils under various spatial characteristics and sampling methods. Transactions in GIS. DOI: 10.1111/tgis.12319.

209. Lin QG, Wang Y. 2018. Spatial and temporal analysis of a fatal landslide inventory in China from 1950 to 2016. Landslides 15: 2357-2372.

210. Liu J, Shanguan DH, Liu SY, Ding YJ. 2018. Evaluation and hydrological simulation of CMADS and CFSR reanalysis datasets in the Qinghai-Tibet Plateau. Water 10: 513.

211. Liu TJ, Wang JF, Xu Cheng, Ma JQ, Zhang HY, Xu CD. 2018. Sandwich mapping of rodent density in Jilin Province, China. Journal of Geographical Sciences 28(4): 445-458.

212. Liu X, Macedo J, Zhou T, Shen LY, Liao YL, Zhou YL. 2018. Evaluation of the utility efficiency of subway stations based on spatial information from public social media. Habitat International 79:10-17.

213. Liu XP, Chen X, Hua KP, Wang YJ, Wang P, Han XJ, Ye JY, Wen SQ. 2018. Effects of land use change on ecosystem services in arid area ecological migration. Chinese Geographical Science 28(5): 894–906.

214. Liu YG, Huang CM, Wang Q, Luan JW, Ding MT. 2018. Assessment of sustainable livelihood and geographic detection of settlement sites in ethnically contiguous poverty-stricken areas in the Aba prefecture, China. ISPRS International Journal of Geo-Information 7: 16.

215. Liu YS, Yang ZS, Huang YYH, Liu CJ. 2018. Spatiotemporal evolution and driving factors of China’s flash flood disasters since 1949. Science China Earth Sciences 61, https://doi.org/10.1007/s11430-017-9238-7.

216. Luo W, Hartman J, Wang F, Huang P, Sysamouth. 2018. GIS in comparative-historical linguistics research: Tai languages. Comprehensive Geographic Information Systems. 2016: 157-180.

217. Luo W, Liu CC. 2018. Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods. Landslides 15: 465–474.

218. Luz GR, Mota GS, Spadeto C, Tolentino GS, Fernandes GW, Nunes YRF. 2018. Regenerative potential of the soil seed bank along an elevation gradient of rupestrian grassland in southeastern Brazil. Botany 96: 281-298.

219. Menafoglio A, Gaetani G, Secchi P. 2018. Random domain decompositions for object-oriented Kriging over complex domains. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-018-1596-z.

220. Meng XY, Gao X, Li SY, Huang WJ, Lei JQ. 2018. SBDM v1.0: A scaling-based discretization method for the Geographical Detector Model. Geoscientific Model Development Discussions. https://doi.org/10.5194/gmd-2018-274.

221. Niu YN, Li RD, Qiu J, Xu XJ, Huang D, Qu YB. 2018. Geographical clustering and environmental determinants of Schistosomiasis from 2007 to 2012 in Jianghan Plain, China. International Journal of Environmental Research and Public Health 15: 1481.

222. Nowosad J, Stepinski TF. 2018. Spatial association between regionalizations using the information-theoretical V-measure. International Journal of Geographical Information Science. https://doi.org/10.1080/13658816.2018.1511794.

223. Qu YB, Jiang GH, Yang YT, Zheng QY, Li YL, Ma WQ. 2018. Multi-scale analysis on spatial morphology differentiation and formation mechanism of rural residential land: A case study in Shandong Province, China. Habitat International 71: 135-146.

224. Safa M, Soltani-Mohammadi. S. 2018. Distance function modeling in optimally locating additional boreholes. Spatial Statistics 23: 17–35.

225. Shi H, Shi TG, Yang ZP, Wang Z, Han F, Wang CR. 2018. Effect of roads on ecological corridors used for wildlife movement in a natural heritage site. Sustainability 10: 2725.

226. Shi SQ, Han Y, Yu WB, Cao YQ, Cai WM, Yang P, Wu WB, Yu QY. 2018. Spatio-temporal differences and factors influencing intensive cropland use in the Huang-Huai-Hai Plain. Journal of Geographical Sciences 28(11): 1626-1640.

227. Shi TZ, Hu ZW, Shi Z, Guo L, Chen YY, Li QQ, Wu GF. 2018. Geo-detection of factors controlling spatial patterns of heavy metals in urban topsoil using multi-source data. Science of the Total Environment 643: 451–459

228. Shrestha A, Luo W. 2018. Assessment of groundwater nitrate pollution potential in central valley aquifer using Geodetector-based frequency ratio (GFR) and optimized-DRASTIC methods. ISPRS International Journal of Geo-Information 7: 211.

229. Song YZ, Wright G, Wu P, Thatcher D, McHugh T, Li DQ, Li SJ, Wang XY. 2018. Segment-based spatial analysis for assessing road infrastructure performance using monitoring observations and remote sensing data. Remote Sensing 10: 1696.

230. Sun D Zhang KS, Shen SW. 2018. Analyzing spatiotemporal traffic line source emissions based on massive didi online car-hailing service data. Transportation Research Part D 62: 699–714.

231. Vallejos R, Buckley H, Case B, Acosta J, Ellison AM. 2018. Sensitivity of codispersion to noise and error in ecological and environmental data. Forests 9: 679.

232. Wang CZ, Zhang Z, Zhou MG, Wang P, Yin P, Ye Wan, Zhang LY. 2018. Different response of human mortality to extreme temperatures (MoET) between rural and urban areas: A multi-scale study across China. Health and Place 50: 119-129.

233. Wang J, Meng B, Fu DJ, Pei T, Xu CD. 2018. Mapping spatiotemporal patterns and multi-perspective analysis of the surface urban heat islands across 32 major cities in China. ISPRS International Journal of Geo-Information 7: 207.

234. Wang JF, Xu CD, Hu MG, Li QX, Yan ZW, Jones P. 2018. Global land surface air temperature dynamics since 1880. International Journal of Climatology 38: e466-e474.

235. Wang JX, Hu MG, Zhang FS, Gao JB. 2018. Influential factors detection for surface water quality with geographical detectors in China. Stochastic Environmental Research and Risk Assessment. https://doi.org/10.1007/s00477-018-1532-2.3456789().,-volV)

236. Wang LL, Lin YW, Wang XF, Xiao N, Xu YD, Li HD, Xu QS. 2018. A selective review and comparison for interval variable selection in spectroscopic modeling. Chemometrics and Intelligent Laboratory Systems 172: 229–240.

237. Wang LZ, Chen LJ. 2018. Analysis: The impact of new transportation modes on population distribution in Jing-Jin-Ji region of China. Scientific Data 5: 170104.

238. Wang SG, Yu DX, Ma XG, Xing X. 2018. Analyzing urban traffic demand distribution and the correlation between traffic flow and the built environment based on detector data and POIs. European Transport Research Review 10: 50.

239. Wang SJ, Wang JY, Wang Y. 2018. Effect of land prices on the spatial differentiation of housing prices: Evidence from cross-county analyses in China. Journal of Geographical Sciences 28(6): 725-740.

240. Wang X, Gu L, Kwon TJ, Qiu TZ. 2018. A geostatistical investigation into the effective spatiotemporal coverage of road weather information systems in Alberta, Canada. Journal of Advanced Transportation. https://doi.org/10.1155/2018/5179694.

241. Wang XF, Yin LC, Xiao FY, Zhang MN, Liu LL, Zhou ZX, Ao Y. 2018. The desertification process in the Silk Road Economic Belt in the past 15 years: A study using MODIS data and GIS analysis. Geological Journal 53(S1): 322–331.

242. Wang XN. 2018. Property insurance market analysis dataset in prefecture-level of China (2016). Journal of Global Change Data & Discovery 2(3): 316-322.

243. Wang Y, Lin QG, Shi PJ. 2018. Spatial pattern and influencing factors of landslide casualty events. Journal of Geographical Sciences 28(3): 259-374.

244. Wang Y, Wang LL, Qi PW, Liu ZH. 2018. The relationship and time elasticity between traffic location change and urbanization process: a case study of China’s Chongqing municipality. Journal of Spatial Science. https://doi.org/10.1080/14498596.2018.1479986.

245. Westerholt R, Resch B, Mocnik FB, Hoffmeister D. 2018. A statistical test on the local effects of spatially structured variance. International Journal of Geographical Information Science 32(3): 571–600.

246. Xia B, Dong SC, Ba DX, Li Y, Li FJ, Liu HM, Li ZH, Zhao MY. 2018. Research on the spatial differentiation and driving factors of tourism enterprises’ efficiency: Chinese scenic spots, travel agencies, and hotels. Sustainability 10: 901.

247. Xu Q, Dong YX, Wang YY, Yang R, Xu CD. 2018. Determinants and identification of the northern boundary of China’s tropical zone. Journal of Geographical Sciences 28(1): 31-45.

248. Xu QR, Zheng XQ, Zhang CX. 2018. Quantitative analysis of the determinants influencing urban expansion: a case study in Beijing, China. Sustainability 10: 1630.

249. Xu X, Zhao Y, Zhang XL, Xia SY. 2018. Identifying the impacts of social, economic, and environmental factors on population aging in the Yangtze River delta using the geographical detector technique. Sustainability 10: 1528.

250. Yang DY, Wang XM, Xu JH, Xu CD, Lu DB, Ye C, Wang ZJ, Bai L. 2018. Quantifying the influence of natural and socioeconomic factors and their interactive impact on PM2.5 pollution in China. Environmental Pollution 241: 475-483.

251. Yang J, Zhou MG, Li MM, Yin P, Wang BG, Pilot E, Liu YN, van der Hoek W, van Asten L, Krafft T. Liu QY. 2018. Diurnal temperature range in relation to death from stroke in China. Environmental Research 164: 669-675.

252. Yang WT, Deng M, Xu F, Wang H. 2018. Prediction of hourly PM2.5 using a space-time support vector regression model. Atmospheric Environment. doi: 10.1016/j.atmosenv.2018.03.015.

253. Yaya S, Bishwajit G, Okonofua F, Uthman OA. 2018. Under five mortality patterns and associated maternal risk factors in sub-Saharan Africa: A multi-country analysis. PLoS ONE 13(10): e0205977.

254. Ye H, Sun CG, Wang K, Zhang GQ, Lin T, Yan H. 2018. The role of urban function on road soil respiration responses. Ecological Indicators 85: 271–275.

255. Ye YJ, Qi QW, Jiang LL, Liang QZ. 2018. Use of the geographical detector method to analyse spatiotemporal changes and impact factors related to Chinese food security. IEEE 7th International Conference on Agro-geoinformatics (Agro-geoinformatics). DOI: 10.1109/Agro-Geoinformatics.2018.8476006.

256. Yuan XF, Shao YJ, Wei XD, Hou R, Ying Y, Zhao YH. 2018. Study on the potential of cultivated land quality improvement based on a geological detector. Geological Journal 2018: 1-11.

257. Yue XL, Wu SH, Huang M, Gao JB, Yin YH, Feng AQ, Gu XP. 2018. Spatial association between landslides and environmental factors over Guizhou Karst Plateau, China. Journal of Mountain Science 15(9): 1987-2000.

258. Yun GL Zuo SD, Dai SQ, Song XD, Xu CD, Liao YL, Zhao PQ, Chang WY, Chen Q, Li YY, Tang JF, Wang M, Ren Y. 2018. Individual and interactive influences of anthropogenic and ecological factors on forest PM_2.5 concentrations at an urban scale. Remote Sensing 2018(10): 521.

259. Zhan DS, Kwan MP, Zhang WZ, Fan J, Yu JH. Dang YX. 2018. Assessment and determinants of satisfaction with urban livability in China. Cities. https://doi.org/10.1016/j.cities.2018.02.025.

260. Zhan DS, Kwan MP, Zhang WZ, Yu XF, Meng B. Liu QQ. 2018. The driving factors of air quality index in China. Journal of Cleaner Production. DOI: 10.1016/j.jclepro.2018.06.108.

261. Zhang HP, Zhou XX, Gu X, Ji GL, Tang GA. 2018. Method for the analysis and visualization of similar flow hotspot patterns between different regional groups. ISPRS International Journal of Geo-Information 7: 328.

262. Zhang XL, Zhao Y. 2018. Identification of the driving factors’ influences on regional energy-related carbon emissions in China based on geographical detector method. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-018-1237-6.

263. Zhang XP, Gong ZZ. 2018. Spatiotemporal characteristics of urban air quality in China and geographic detection of their determinants. Journal of Geographical Sciences 28(5): 563-578.

264. Zhang XX, Xu CD, Xiao GX. 2018. Space-time heterogeneity of hand, foot and mouth disease in children and its potential driving factors in Henan, China. BMC Infectious Diseases 18: 638.

265. Zhang XY, Du SH, Wang Q, Zhou WQ. 2018. Multiscale geoscene segmentation for extracting urban functional zones from VHR satellite images. Remote Sensing 10, 281.

266. Zhang YS, Lu X, Liu BY, Wu DT. 2018. Impacts of urbanization and associated factors on ecosystem services in the Beijing-Tianjin-Hebei urban agglomeration, China: Implications for land use policy. Sustainability 10: 4334; doi:10.3390/su10114334.

267. Zhang ZM, Zhou YC, Wang SJ, Huang XF. 2018. Change in SOC content in a small Karst basin for the past 35 years and its influencing factors. Archives of Agronomy and Soil Science. DOI: 10.1080/03650340.2018.1474520.

268. Zhao XY, Wang WJ, Wan WY. 2018. Regional differences in the health status of Chinese residents: 2003–2013. Journal of Geographical Science 28(6): 741-758.

269. Zhao ZL, Zhe L, Zhang XD, Zan XL, Yao XC, Wang SJ, Ye SJ, Li SM, Zhu DH. 2018. Spatial layout of multi-environment test sites: a case study of maize in Jilin Province. Sustainability 10: 1424.

270. Zhong SB, Wang CL, Yu ZC, Yang YS, Huang QY. 2018. Spatiotemporal exploration and hazard mapping of tropical cyclones along the coastline of China. Advances in Meteorology. https://doi.org/10.1155/2018/5479576

271. Zhou CS, Chen J, Wang SJ. 2018. Examining the effects of socioeconomic development on fine particulate matter (PM2.5) in China's cities using spatial regression and the geographical detector technique. Science of the Total Environment 619–620: 436–445.

272. Zhou T, Jiang GH, Zhang RJ, Zheng QY, Ma WQ, Zhao QL, Li YL. 2018. Addressing the rural in situ urbanization (RISU) in the Beijing–Tianjin–Hebei region: Spatio-temporal pattern and driving mechanism. Cities 75: 59-71.

273. Zuo SD, Dai SQ, Li YY, Tang JF, Ren Y. 2018. Analysis of heavy metal sources in the soil of riverbanks across an urbanization gradient. International Journal of Environmental Research and Public Health 15: 2175.

274. Zuo SD, Dai SQ, Song XD, Xu CD, Liao YL, Chang WY, Chen Q, Li YY, Tang JF, Man W, Ren Y. Determining the Mechanisms that Influence the Surface Temperature of Urban Forest Canopies by Combining Remote Sensing Methods, Ground Observations, and Spatial Statistical Models. Remote Sensing 10:18.

275. 蔡进，禹洋春，骆东奇，邱继勤. 2018. 重庆市农村多维贫困空间分异及影响因素分析. 农业工程学报 34(22): 235-245.

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277. 曹峥，吴志峰，马文军. 2018. 人为热排放对不同类型建成区温度影响的模拟研究. 地理科学进展 37(4): 515-524.

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