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Input 1 - A training dataset (multiple observations) of up to four variables (predictors) against one (response variable) Input 2 - A test dataset (multiple observations) of the same four variables with unknown response variable Output - Calculation of the response variable for each test observation using fuzzy logic or fuzzy rule-based Bayesian algorithms HABFUZZ is a habitat model, which can be used in ecohydraulic modelling applications for the calculation of the instream habitat...

WHATCH’EM simulates the highly non-linear manner in which atmospheric conditions and container characteristics determine water temperature and height, leading to results that are not always intuitive and likely not simulated by simpler empirical models. WHATCH’EM has the capacity to be utilized for other mosquitoes and other container-inhabiting arthropods.

HydroSed2D is a two-dimensional numerical model for hydrodynamics and sediment transport on unstructured mesh.

This project looks at the development of a set of generic models (box,chamber, photo-chemical trajectory) to use with the MCM (www.mcm.leeds.ac.uk). The software provides a tailored FORTRAN interface to the CVODE solver (http://www.llnl.gov/CASC/sundials

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...