一作:

• Ren, Kai and Swapan, Mohammad and Liu, Hang and Li, Linchao and Mancini, Francesco and Xiao, Zhuoyao and Zhang, Xueyuan and Qu, Rui and Yu, Qiang, Identifying Climate and Environmental Determinants of Spatial Disparities in Wheat Production Using a Geospatial Machine Learning Model. Available at SSRN: https://ssrn.com/abstract=4886409 or http://dx.doi.org/10.2139/ssrn.4886409 (preprint)

合作:

• Yang, L., Luo, P., Zhang, Z., Song, Y., Ren, K., Zhang, C., Awange, J., Atkinson, P.M. and Meng, L., 2024. A spatio-temporal unmixing with heterogeneity model for the identification of remotely sensed MODIS aerosols: Exemplified by the case of Africa. International Journal of Applied Earth Observation and Geoinformation, 132, p.104068.
• Zhang, X., Song, Y., Dewan, A., Guo, Z., Cao, X., Bie, Q., Xie, Y., Ma, X., Ren, K., Zhang, H. and Xi, G., 2024. Ecological influence of oasisation on peripheral regions. International Journal of Applied Earth Observation and Geoinformation, 132, p.104004.

国际会议:

• Ren, K. & Song, Y. (2023). Local spatial heterogeneity of Wheat Yields in Western Australia. In Proceedings of City+2023@Perth International Conference on Geospatial Big Data and Artificial Intelligence for Cities. Perth, Curtin University.