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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.

We have moved, the project is now at http://distancesampling.org

Oxygen Model for Microtidal Estuaries and Lagoons-OMMEL. Initially designed to describe O2 dynamics in Alfacs Bay (Ebre Delta, NW Mediterranean, Spain), but usable for any marine coastal ecosystem with small tides. http://tdr.cesca.es/TDX-0222108-113814

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...