This page provides access to a variety of software tools, accompaniments to publications, demonstrations and tutorials to have come out of our research. Most of these were developed before we had identified the technology and tools to be our primary foci.
Software for Ecology and Environmental Science
- Mobile Wireless Sensor Network Monitoring and Management Tool
Determining the relationship between an animal's behaviour and its environment is fundamental in assessing how it can be effectively protected. Using a combination of wireless sensor networks, GPS tracking and integrative software solutions, we are developing the tools that allow scientists to work at scales, resolutions and ranges that were previously unavailable. This Windows Mobile based control application has been developed to interactively manage and track the status of the sensor network deployed on Skomer Island.
- Environmental Scenario Search Engine (ESSE)
The ESSE search-Engine is a flexible, efficient and easy to use search engine for data mining in environmental data archives. ESSE will help you find useful data even if you don't know exactly what you are looking for.
- ESSE Visualization Plugin for NASA World Wind
ESSE visualization plugins for interactive visualization of scalar fields, vector fields and trajectories on NASA World Wind.
- ScatterWeb .NET SDK
ScatterWeb .NET SDK is a new approach to working with wireless sensor networks. It hides the complexity of embedded programming and makes it easy to handle objects representing wireless sensors.
Accompaniments to Publications
Details on the computation of absolute spectra for periodic travelling waves in the Lambda-Omega equations using MATLAB and AUTO.
Part of the Supplementary Online Material for Matthew J. Smith, Jens D. M. Rademacher, and Jonathan A. Sherratt, Absolute stability of wavetrains can explain spatiotemporal dynamics in reaction-diffusion systems of lambda-omega type, in SIAM Journal of Applied Dynamical Systems, 8(3), 1136-1159, 27 August 2009
- Lambda-Omega Equations Simulator
This software tool allows the user to view animations of the dynamics illustrated in: Matthew J. Smith, Jens D. M. Rademacher, and Jonathan A. Sherratt, Absolute stability of wavetrains can explain spatiotemporal dynamics in reaction-diffusion systems of lambda-omega type, in SIAM Journal of Applied Dynamical Systems, 8(3), 1136-1159, 27 August 2009
- Disease Model Simulator
This tool enables the user to investigate the theoretical disease model used in the paper: Matthew J. Smith, Sandra Telfer, Eva R. Kallio, Sarah Burthe, Alex R. Cook, Xavier Lambin, and Michael Begon, Host-pathogen time series data in wildlife support a transmission function between density and frequency dependence, in Proceedings of the National Academy of Sciences of the United States of America, 106(19), pp. 7905-7909, 12 May 2009
- Density-Dependent Dispersal in Cyclic Populations Simulator
This software tool allows the user to view animations of the dynamics illustrated in the paper: Matthew Smith, Jonathan Sherratt, and Xavier Lambin, The effects of density dependent dispersal on the spatiotemporal dynamics of cyclic populations, in Journal of Theoretical Biology, Elsevier, 21 September 2008
Tutorials and Demonstrations
- Maximum-Entropy Species Distribution Modelling Tutorial
Our tutorial, written in Excel 2010, is designed to familiarize users with a commonly used approach in species-distribution modeling—the maximum-entropy approach. Users step through the worksheets and learn about the mathematics and assumptions used, fitting the model using the Microsoft Solver Add-in. Text in the tutorial refers to a publicly available, non-Microsoft software tool called MaxEnt, available at http://www.cs.princeton.edu/~schapire/maxent/. Users can save the data used in the Excel tutorial and use it in the MaxEnt software package.
- Spatial effects on plant population dynamics and spatial modelling: Tutorial
Including: One Dimensional Cellular Automata, Two Dimensional Cellular Automata, and Crawley-May Plant Competition Model
Plant Competition Model Simulator
A Windows Presentation Foundation application that enables a user to experiment with the Crawley-May plant-competition model, a spatially explicit model that investigates the conditions under which two plant species can coexist.