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Open Source C++ Ecosystem Sciences Software - Page 2

C++ Ecosystem Sciences Software

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  • 1
    The VIP Toolbox is a set of libraries and tools to enable researchers to process image data from the VEGETATION and other remote sensing sensors.
    Downloads: 0 This Week
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  • 2
    VirtuSwarm is a WIP project consisting of virtual, non-thinking 'particles' that will inhabit a folder. There, they will live, evolve via their own genetic code, and die. VirtuSwarm is a research project for biomimicry and game theory.
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  • 3
    Artificial life simulation where computer programs (virtual organisms or VOs for short) compete on a grid for computer time. May the most intelligent VO win!
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  • 4
    VVG is a software that generates 3D scenes containing high poly models of growing plants. Renders are done via Yafaray and combined to create videos.
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  • 5
    An isometric game with C++ and SDL. Your beings should survive fighting with other beings, reproducting to make a massive attack and eating. But sometimes you will have to eat some of your own live beings so that others could stay alive, well it's life.
    Downloads: 0 This Week
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  • 6
    Image Processing/Tracking Software for off-line analysis of Field Biology Videos/Recordings.
    Downloads: 0 This Week
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  • 7
    This project aims to develop various tools for artificial life and complex systems simulations: from the simulator itself to generic generation tools.
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  • 8
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  • 9
    Project moved to Google Code since SourceForce is a broken, buggy, non-responsive service. I had to re-log in over 100 times just to change this description. Please visit the project at http://code.google.com/p/starflighttlc/ for the latest version of th
    Downloads: 0 This Week
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  • 10
    phcfM

    phcfM

    R package for modelling anthropogenic deforestation

    phcfM is an R package for modelling anthropogenic deforestation. It was named after the REDD+ pilot-project 'programme holistique de conservation des forêts à Madagascar'. phcfM includes two main functions: (i) demography(), to model the population growth with time in a hierarchical Bayesian framework using population census data and Gaussian linear mixed models and (ii) deforestation(), to model the deforestation process in a hierarchical Bayesian framework using land-cover change data and Binomial logistic regression models with variable time-intervals between land-cover observations. The two functions use embedded Gibbs samplers written in C++ with the Scythe statistical library to reduce computational time.
    Downloads: 0 This Week
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  • 11
    A tool for extracting climate parameters from Tyndall climate datasets for a certain area and time based on diferrent models and emission scenarios.
    Downloads: 0 This Week
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