Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.

MLA

Taylor-Rodriguez, Daniel, et al. “Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.” Statistica Sinica, vol. 29, 2019, pp. 1155–80. EBSCOhost, https://doi.org/10.5705/ss.202018.0005.

APA

Taylor-Rodriguez, D., Finley, A. O., Datta, A., Babcock, C., Andersen, H.-E., Cook, B. D., Morton, D. C., & Banerjee, S. (2019). Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping. Statistica Sinica, 29, 1155–1180. https://doi.org/10.5705/ss.202018.0005

Chicago

Taylor-Rodriguez, Daniel, Andrew O Finley, Abhirup Datta, Chad Babcock, Hans-Erik Andersen, Bruce D Cook, Douglas C Morton, and Sudipto Banerjee. 2019. “Spatial Factor Models for High-Dimensional and Large Spatial Data: An Application in Forest Variable Mapping.” Statistica Sinica 29: 1155–80. doi:10.5705/ss.202018.0005.