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Dr. Paul M. Torrens, Center for Urban Science + Progress, New York University

Geographic automata models for glaciology

Project overviewEye candy | Related groups
Project overview

The aims of this project are to develop innovative modeling techniques and technologies for exploring dynamics in glaciology. Our approach is centered on geographic automata, which are employed as computational building-blocks for model systems, with the ability to flexibly accommodate varied representations of geometry, spacing and timing, scale, processes, and systems in a unified framework, while still remaining faithful to long-standing grid models that have been pioneered in ice sheet simulation.

Eye candy


CA models of ice sheet dynamics

Iceberg calving at the ice-sheet/ocean interface


Related groups

NASA GSFC Cryospheric Sciences


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