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The Object Modeling System (OMS) is a framework for environmental model development, data provisioning, testing, validation, and deployment. It provides a bridge for transferring technology from the research organization to the program delivery agency. The framework provides a consistent and efficient way to create science components, build, calibrate, and(More)
One of the most difficult tasks in the whole KDD process is to choose the right data mining technique, as the commercial software tools provide more and more possibilities together and the decision requires more and more expertise on the methodological point of view. Indeed, there are a lot of data mining techniques available for an environmental scientist(More)
Recent papers have called for the development of robust model diagnostics (in addition to traditional " measures of fit ") that provide insights on where model structural components and/or data may be insufficient. The potential of entropy measures to provide these in hydrology has not been adequately explored. Further, flow duration (FD) curves provide a(More)
Computer simulations using mathematical models provide useful tools to investigate different scenarios based on watershed management strategies and environmental conditions. To study the impact of these strategies and conditions, different models must be linked or coupled following hydrological pathways in air, soil and water. To connect one model to(More)
In this paper we describe our experience in the design and teaching of a new evolutionary introductory programming course in a new Distributed Computing and Communications Systems Technology program at the University of Guelph-Humber. This course is evolutionary and innovative because it integrates the use of HTML, JavaScript, and Java in a one-semester(More)
We present an agent-based model of human-environment interaction and conflict in East Africa using the MASON agent-based simulation environment. Our model focuses on the complex interaction of pastoral groups with their environment and other emerging external actors. Our model supports the observation that increased seasonal rainfall variability and(More)