The Condatis team is hosting two events this July focused on connecting, learning, and making the most of Condatis.
Poster session “Connecting with Condatis”
Participants in this networking event will have the opportunity to display their work on landscape connectivity, share experiences on the use of Condatis, and meet other members of the community.
The gathering will take place on the afternoon of Monday 6 July 2026, from 3 to 5pm, just ahead of the Landscape Ecology UK 2026 Conference, at the Rutherford Room, Core Technology Facility (46 Grafton St, Manchester M13 9WU).
This event is free, including hot drinks and light refreshments.
To register, with or without poster, please click the link below and follow instructions before 1 June 2026.
We don’t necessarily expect scientific-style reporting of results, but we will display any project news that are interesting to other practitioners. Any posters sent to us before 19 June will be printed free of charge, and transported to the venue for you.
Online training workshop “Getting the most out of Condatis”
The online training workshop “Getting the most out of Condatis” will take place on 14 July 2026 from 9am to 12.30pm (UTC+1).
Jenny Hodgson will give a brief overview of the Condatis web app and conduct some exercises showcasing the different functions of the software.
This workshop is free. To register, please click the link below and follow instructions before 19 June 2026.
The training will take place on Microsoft Teams. Connection details will be sent to the participants after the registration deadline.
Indicative Schedule
| 9:00 – 10:30 | Session 1 – Condatis Web App |
| 10:30 – 11:00 | Break |
| 11:00 – 12:00 | Session 2 – Condatis with R |
| 12:00 – 12:30 | Participant-directed Q&A; possibility to troubleshoot participants’ own case studies. |
What to expect from training
Condatis has been developed since 2015 and has been used by conservation practitioners around the world, via its web application. Through collaboration with users, we have designed it to be fast and user-friendly, and to work with the kind of data that organisations typically have. In our experience, beginners can get started with Condatis with as little as 2 hours of training.
This workshop will provide a brief overview of the software and a series of graded exercises, showcasing the different functions of Condatis. For example:
- The speed metric, and why some landscapes show higher speed than others.
- Maps of ‘flow’, showing pathways across a landscape that allow both dispersal and reproduction of species.
- A way of prioritising restoration by ‘dropping’ certain low-flow cells from the landscape.
- Mapping and interpreting ‘bottlenecks’ in the habitat network, where a small amount of restoration could be most impactful.
Recently, the Condatis team has also been developing Condatis functionality using R. This has been facilitated by funding from Natural England, and has produced data we hope will be useful to Local Nature Recovery Strategies (see https://condatis.org.uk/condatis-bottlenecks-data-is-published). Therefore, we chose to include a section based on R in the training.
Background requirements
All the exemplar data that you need will be provided. By the nature of online training, you will need your own computer and a reasonably fast internet connection.
There will be examples using the Condatis web app as well as the R environment. Attendees will need some familiarity with GIS, e.g. reading, writing and querying raster data. You may use your own favoured GIS software or spatial package to view our input and output data, either R, ArcGIS Pro or QGIS. It may be advisable to update your GIS package to the latest version. We will not be offering in-depth GIS help during the session.
Before using the Condatis web app, you need to create a user account for yourself at https://webapp.condatis.org.uk.
R is essential for the second exercise (for the analysis and not just for its GIS capability). R is free software, available at https://www.r-project.org/, and many environment professionals already use it. If you’d rather not dive into R yourself, you will still get some benefit from following along with session 2 and seeing what others are doing. If you wish to run the R exercises, please install R version 4.3 or later before you start, and install the packages terra, sf, sfheaders, tidyverse and viridis.