Xie, Yiqun, Jia, Xiaowei, Bao, Han, Zhou, Xun, Yu, Jia, Ghosh, Rahul, and Ravirathinam, Praveen. Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. Retrieved from https://par.nsf.gov/biblio/10329517. Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21) . Web. doi:10.1145/3474717.3483970.

Xie, Yiqun, Jia, Xiaowei, Bao, Han, Zhou, Xun, Yu, Jia, Ghosh, Rahul, & Ravirathinam, Praveen. Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets. Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21), (). Retrieved from https://par.nsf.gov/biblio/10329517. https://doi.org/10.1145/3474717.3483970

Xie, Yiqun, Jia, Xiaowei, Bao, Han, Zhou, Xun, Yu, Jia, Ghosh, Rahul, and Ravirathinam, Praveen. "Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets". Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21) (). Country unknown/Code not available. https://doi.org/10.1145/3474717.3483970. https://par.nsf.gov/biblio/10329517.

@article{osti_10329517,
place = {Country unknown/Code not available}, title = {Spatial-Net: A Self-Adaptive and Model-Agnostic Deep Learning Framework for Spatially Heterogeneous Datasets}, url = {https://par.nsf.gov/biblio/10329517}, DOI = {10.1145/3474717.3483970}, abstractNote = {}, journal = {Proceedings of the 29th International Conference on Advances in Geographic Information Systems (SIGSPATIAL'21)}, author = {Xie, Yiqun and Jia, Xiaowei and Bao, Han and Zhou, Xun and Yu, Jia and Ghosh, Rahul and Ravirathinam, Praveen}, }