Omrani H., has a new article published in the EMS journal.  The paper explores the challenges of simulating land change across large regions and spans of time.  The new mode, called LTM-Cluster,  is a scalable modeling framework aimed to benefit research involving large datasets. The paper uses the Spark environment to reduce the burden of high computational … Continue reading The land transformation model-cluster framework: Applying k-means and the Spark computing environment for large scale land change analytics