Masrur, A., Yu, M., Mitra, P., Peuquet, D., & Taylor, A. (2022). Interpretable machine learning for analysing heterogeneous drivers of geographic events in space-time. International Journal of Geographical Information Science, 36(4), 692. https://doi.org/10.1080/13658816.2021.1965608
Chicago Style (17th ed.) CitationMasrur, Arif, Manzhu Yu, Prasenjit Mitra, Donna Peuquet, and Alan Taylor. "Interpretable Machine Learning for Analysing Heterogeneous Drivers of Geographic Events in Space-time." International Journal of Geographical Information Science 36, no. 4 (2022): 692. https://doi.org/10.1080/13658816.2021.1965608.
MLA (9th ed.) CitationMasrur, Arif, et al. "Interpretable Machine Learning for Analysing Heterogeneous Drivers of Geographic Events in Space-time." International Journal of Geographical Information Science, vol. 36, no. 4, 2022, p. 692, https://doi.org/10.1080/13658816.2021.1965608.