Search Results for "create"

Fuzzy Ecospace Modelling (FEM) is an R-based program for quantifying and comparing functional disparity, using a fuzzy set theory-based machine learning approach. FEM clusters n-dimensional matrices of functional traits (ecospace matrices – here called the Training Matrix) into functional groups and converts them into fuzzy functional groups using fuzzy discriminant analysis (Lin and Chen 2004 – see main text for more information). Following this, FEM classifies the functional entities from...

Niche Analyst (NicheA) was developed based on the BAM framework which allows users to create virtual spaces and virtual species, and to analyze ecological niches in both multivariate environmental and geographic spaces, linking views of the niche in the two spaces. The unique functionality in NicheA, not available in other software programs, is estimating Grinnellian niches of species based on environmental variables and occurrence records, but with a clear focus on fundamental ecological niches. ...

The aim of the project is create a learning tools for students. If children become aware of consumption, perhaps they will be able to influence and affect a larger system of the school. Within smart energies, the goal of the monitoring system is the control and management, even remotely, ofconsumption and production of energy users are characterized by complex energy systems.

The aim of this project is to create an automated pipeline for taxonomic assignment of DNA sequences obtained from environmental samples. We develop a series of python scripts to process the raw sequence data obtained from benthic environmental samples and to taxonomical assignment of these sequences and finally to integrate all data in a relational database.

Electronics schematics, PCB images, firmware and documentation to create and deploy a network of ecology related sensors.

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.

KNeTS (Knowledge Elicitation Tools) is a survey tool to create multi-agent models based on local knowledge using pattern analysis to identify rules that are iteratively validated with the informant. The final output is a knowledge-based multi-agent model