Explosive growth in geospatial and temporal data as well as the emergence of new
technologies emphasize the need for automated discovery of spatiotemporal knowledge …

Interconnected social and environmental systems are the domain of ecological economics,
and models can be used to explore feedbacks and adaptations inherent in these systems …

A comprehensive and hands-on introduction to the core concepts, methods, and
applications of agent-based modeling, including detailed NetLogo examples. The advent of …

This book provides a comprehensive discussion on urban growth and sprawl, and how they
can be analyzed using remote sensing imageries. It compiles views of numerous …

Agent-based modeling can illuminate how complex marketing phenomena emerge from
simple decision rules. Marketing phenomena that are too complex for conventional …

Geochemical Anomaly and Mineral Prospectivity Map** in GIS documents and explains,
in three parts, geochemical anomaly and mineral prospectivity map** by using a …

Agent-based simulation (ABS) is an approach to modeling systems comprised of individual,
autonomous, interacting “agents.” Agent-based modeling offers ways to more easily model …

Agent-based modelling (ABM) is becoming the dominant paradigm in social simulation due
primarily to a worldview that suggests that complex systems emerge from the bottom-up, are …

Many agent-based modeling and simulation researchers and practitioners have called for
varying levels of simulation interoperability ranging from shared software architectures to …

Agent-based models (ABMs) are one of the most effective and successful methods for
analyzing real-world complex systems by investigating how modeling interactions on the …