Software

    CEM for SPSS

    Authors:  Matthew Blackwell, Stefano Iacus, Gary King, and Giuseppe Porro

    This program is designed to improve the estimation of causal effects via an extremely powerful method of matching that is widely applicable and exceptionally easy to understand and use (if you understand how to draw a histogram, you will understand this method). The program implements the Coarsened Exact Matching (CEM) algorithm described in:

    Stefano M. Iacus, Gary King, and Giuseppe Porro, "Causal...

    Read more about CEM for SPSS

    Dendrograms

    Schematic Dendrogram

    The dendrogram algorithm identifies the hierarchical structure in 2- and 3-d image datasets.

    For more information on the algorithm, including downloads, documentation and software, please visit http://...

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    Astronomical Medicine

    At present, we are using this page only to point to the existing "Astronomical Medicine" software page at the IIC site.  For newer software, check out "Glue," below.

    Project homepage: http://am.iic.harvard.edu/

    IDRISI Software

    Clark Labs: IDRISI Software
    Geospatial technologies for environmental management

    ERDAS Software

    ERDAS 2010 Software: Image and Photogrammetry
    Remote sensing, image-processing and geospatial information management suite

    WorldWide Telescope

    From the WWT website from which the program can be downloaded or run on the web: 

    "From web to desktop to full dome planetarium, WorldWide Telescope (WWT) enables you to explore the universe, bringing together imagery from the best ground and space-based telescopes in the world and combining it with 3D navigation. Experience narrated guided tours from astronomers and educators featuring interesting ...
    Read more about WorldWide Telescope

    Glue

    Glue Logo

    Glue is a Python framework to link visualizations of multiple related datasets. Its goal is to let users easily inter-compare data across several files....

    Read more about Glue

    FITS Releases

    The File Information Tool Set (FITS) identifies, validates, and extracts technical metadata for various file formats. It wraps several third-party open source tools, normalizes and consolidates their output, and reports any errors. FITS was created by the Harvard Library for use in its Digital Repository Service (DRS) but was released as open source in 2009.

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