CatchIT Department of Statistics

Jump to: Graphics and outputs  -   Demo videos and user guides  -   Try it out  -   Meet the team

About us:

Welcome to CatchIT! We are a one-stop shop for data management and analysis for community pest control projects. We can store and organise your data from trap-lines, bait-lines, and tracking tunnels, and we provide a suite of maps, graphics, and analyses to display your results. We aim to help engage and motivate community volunteers by seeing their data come to life on the screen.

CatchIT is suitable for community projects, conservation management, and scientific research. There is no charge or fee. It is coordinated by Rachel Fewster of the University of Auckland.

Graphics and outputs: updated!

Demo Videos and User Guides: updated!

See our quick one-page user guide for how to use CatchIT. If you are using CatchIT for bait-station data, use the more detailed guide here.

Alternatively, watch the short demo movies below to find out how to enter your data. These demo movies are 1 to 3 minutes long.

Demo videos for Project Administrators:
Advanced demo videos for Project Administrators:

Try it out:

To try out the system, please contact Rachel Fewster to obtain a user-account and password.

Then go here to log in:

Meet the team:

CatchIT has been coordinated by Rachel Fewster since 2011, with software developers Sunil Patel and Giles Turner, and input from statistics students Rishika Chopara, Sophie Kincaid, Oliver Stevenson, Brad Drayton, Mac Townsend, and Daniel van Vorsselen. Thanks also to Auckland University IT staff Andrew Bevin, Prasanna Subramanian, and Matiu Carr for technical support.


The project has been funded since 2011 by:

CatchIT is data-management software for conservation projects in New Zealand. For questions or comments, please contact Rachel Fewster.