Showing 4 open source projects for "data processing"

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    SimAssem

    SimAssem

    For processing and/or simulating species assemblage data.

    SimAssem is a tool for investigating the performances of species richness estimators across widely ranging assemblages and survey designs. Assemblages are simulated by specifying the: 1) number of species, 2) total abundance of individuals, 3) abundance distribution, 4) spatial configuration, 5) species detection probabilities, 6) survey design, and 7) number of grid cells to survey (out of a square grid comprised of 10,000 cells). SimAssem also processes existing encounter data and formats...
    Downloads: 0 This Week
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    MCC-LIDAR

    Multiscale Curvature Classification for LIDAR Data

    MCC-LIDAR is a C++ application for processing LiDAR data in forested environments. It classifies data points as ground or non-ground using the Multiscale Curvature Classification algorithm.
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    Downloads: 1 This Week
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    The EDAM ENCHILADA - The Exploratory Data Analysis and Management Project's Environmental Chemistry Data Processing and Mining Application.
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  • 4

    geoscipy

    Python-accessible toolkit for Geoscience & Remote Sensing Applications

    GeoSciPy is a set of C and Python functions that provide an API for all aspects of Geoscience and Remote Sensing Applications. Functions include reading/writing of many data formats, images, vectors, ..., and processing of images, vectors, ... including map projections, ... The library is written C, using HDF5 as the file format for storage of all remotely-sensed data and ancillary data, as well as processed data. The C functions assume a particular format for the HDF5 file contents, and provide functions for reading and writing data to such files. ...
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