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Dr. Paul M. Torrens, Center for GIS, Department of Geographical Sciences, and UMIACS, University of Maryland

Massively interactive ice CA models on the cloud

Publications are here | Project overview | Eye candy
Project overview

We make use of a variety of high-performance computing technologies to scale our models and data infrastructure to huge size, with the result that we can typically handle huge amounts of data and very large and long-run process dynamics in the systems that we build.

We often have a keen interest in the geography of the systems that we model. Spatial data have many unique qualities that often require dedicated computing schemes to handle them, visualize them, and add value to them. Similarly, devices and machines that rely on geography for their functioning—whether robots, positioning systems, or sensors—rely on geographical abilities to do their work, Moreover, many algorithms, for example for search, classification, recognition, and differentiation, invoke geographical facilities to make them run and to help them run with efficiency or at scale. A burgeoning field of geocomputing has emerged in support of new, geographically-focused computing. Much of what we do involves building geocomputation solutions to problems that we, and others, encounter.

An recent example of our use of geocomputation is visible in our work to build ice sheet models atop massively interactive cellular automata data and simulation infrastructures. This work is part of a broader effort we have developed to shift our modeling and data platform to high-performance computing and high-performance networking architectures.

Eye candy

The image above showsa time-slice of a massively dynamic cellular automata model that my student, Hai Lan, built. The model can scale to cover many millions of CA, and to achieve this scale we rely heavily on Hadoop.

GIS movement tracks

Massive ice CA

GIS movement tracks

Spatiotemporal GIS

GIS movement tracks

Urban simulation in GIS

GIS movement tracks

Big data movement analytics


climate indicators spatial analysis

Land indicators of climate

geosimulation high performance computing

High-performance computing and networking for geosimulation

earthquake model agent based GIS

Earthquake models

CA ice sheet model

Ice-sheet modeling

kinect control of GIS and robots
Robot motion control

simulating disasters ABM GIS
Human behavior in critical scenarios

crowd model riot model simulation wired

Modeling riots

physics engine GIS

Dynamic physics for built infrastructure

moving agents through space and time

Moving agents through space and time

validating agent based models

Validating agent-based models

machine learning GIS

Machine-learning behavioral geography

high performance computing urban simulation emergence

Accelerating agent-based models

megacity models

Megacity futures

immersive modeling

Immersive modeling

space-time GIS

Space-time GIS and analysis

measuring sprawl

A toolkit for measuring sprawl

space-time GIS

Modeling time, space, and behavior

simulating crowd behavior

Simulating crowd behavior

wi-fi geography

Wi-Fi geography

Simulating sprawl

Simulating sprawl