Cite
Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China.
MLA
Xu, Zhixi, et al. “Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China.” Social Indicators Research, vol. 142, no. 3, Apr. 2019, pp. 947–70. EBSCOhost, https://doi.org/10.1007/s11205-018-1953-9.
APA
Xu, Z., Wu, S., Huang, X., Cai, Z., Su, S., Weng, M., Liu, J., & Sun, J. (2019). Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China. Social Indicators Research, 142(3), 947–970. https://doi.org/10.1007/s11205-018-1953-9
Chicago
Xu, Zhixi, Shufan Wu, Xinran Huang, Zhongliang Cai, Shiliang Su, Min Weng, Ji Liu, and Junying Sun. 2019. “Identifying the Geographic Indicators of Poverty Using Geographically Weighted Regression: A Case Study from Qiandongnan Miao and Dong Autonomous Prefecture, Guizhou, China.” Social Indicators Research 142 (3): 947–70. doi:10.1007/s11205-018-1953-9.