CAGIS Researcher presents geocomputational study in Vancover Canada

Vancover (BC) November 2017. At a recent symposia, CAGIS researcher and Ph.D. candidate Minrui Zheng described her new study on how multi-level statistical techniques, combined with high performance computing, could speed the analyses of spatial modeling built around “Big Data”. Zheng shared her study “Multilevel analysis of neural network-driven spatial models” with an international group of scholars within the Geocomputational section of the North American Regional Science Meeting.