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

Land cover indicators for U.S. National Climate Assessments

Project overview | Related groups
Project overview

This work, partnering with the Joint Global Change Research Institute is aimed at developing new indicators for the National Climate Assessment. Our role in the project is to develop new spatial analysis routines that can be used to extract geographical signatures from remotely-sensed imagery of the land cover surface.

 
spatial analysis indicators for the national climate assessment
Related groups
Joint Global Change Research Institute

 


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