Advanced topics in spatial sampling

When:  Mar 24, 2021 from 9:30 AM to 3:45 PM (GB)
Associated with  British Irish Region IBS

The British and Irish Region of the International Biometric Society will be hosting a meeting “Advanced Topics in spatial sampling”.

This will be a two-part meeting.  The morning session will consist of a 3 hour workshop run by Professor Murray Lark (University of Nottingham) for approximately 30 participants and will include aspects of both design-based and model-based approaches to spatial sampling schemes. The workshop will include both lectures and practicals aiming to cover topics such as spatial coverage, nested designs and spatially balanced designs.

The afternoon session will be a series of 3 webinars by Professor Janine Illian (University of Glasgow), Dr Peter Henrys (Centre for Ecology and Hydrology) and Dr Eleni Matechou (University of Kent) and will discuss some advanced topics in spatial sampling such as monitoring networks, citizen science data and preferential sampling.

Abstracts will be provided in due course and posted below.

Date: 24/03/2020

Venue: Zoom – joining details will be circulated prior to the event

Morning workshop: 09:30-12:30 (GMT)

Afternoon webinar: 13:30-15:45 (GMT)

Registration: here  

Note both events are free of charge for BIR members, for non-members there is a £30 registration fee to attend the morning workshop. Further details on BIR membership can be found at and is free for students and members of the wider IBS community.

Organiser: Kirsty Hassall,


Spatial sampling: some principles and practicalities.
Murray Lark

The objective of this workshop is to examine approaches to sampling variables in space.  We shall consider both probability sampling for the estimation of population parameters and purposive sampling to support tasks such as spatial mapping.  We shall look at practical tools to undertake conceptually simple but practically challenging tasks such as stratified random sampling of irregular regions.  We shall examine methods to achieve spatial coverage sampling, including cases where the sample must incorporate fixed locations.  We shall examine how sampling density can be selected for geostatistical mapping and shall examine methods including balanced sampling to make use of exhaustive covariates such as remote sensor data in sampling design.

The workshop will be practical and interactive using the R platform, and packages including BalancedSampling and spcosa.  Participants should have basic R skills.  The spcosa package requires rjava, so participants are advised to install it and check it in advance of the workshop to ensure that their R and Java specifications are compatible.  Scripts and data sets will be provided in advance of the workshop.

How to walk the BeeWalk: modelling bumblebee citizen science data

Eleni Matechou, Fabian Ketwaroo, Richard Comont

The BeeWalk is the only citizen science survey specifically targeting bumblebees in the UK. Volunteers walk along transects counting the number of bumblebees they detect and identifying their species and caste, where possible. In this talk, I will present our recently developed Shiny app for modelling BeeWalk data and inferring several key demographic parameters, such as caste-specific phenology and average nest productivity, in the wild. I will also discuss challenges and limitations of both the data and the model and ideas for future research.