Related Experiment Video
Updated: Aug 20, 2025

Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
Recommendations to guide sampling effort for polygon-based participatory mapping used to identify perceived ecosystem
Rachael H Carrie1, Lindsay C Stringer1, Thi Van Hue Le2
1Sustainability Research Institute, School of Earth and Environment, University of Leeds, Leeds LS2 9JT, United Kingdom.
Abstract:
Participatory mapping is increasingly used to map spatial variation in people's perceptions about ecosystem services. It has growing use in the identification of locations where places perceived to be important converge. Few recommendations have been published to navigate decisions about sampling effort in participatory mapping research when polygon data is collected, although one recommendation is for ≥ 25 participants assuming each participant maps c. 4-5 polygons per ecosystem service. Underlying data informing this recommendation reflects a particular context: collected using postal questionnaires to map a vast spatial area in southern Australia. Although not intended as definitive or suited to all contexts, the 25 participant (or 100-125 polygon) minimum sometimes informs participatory mapping research. Our empirical work, undertaken using face-to-face questionnaires in a small Vietnamese coastal study area, suggests the recommendation may not be appropriate in all contexts. We propose a modified stepwise approach which:•Prioritises spatial agreement (polygon overlap) rather than polygon count and participant numbers to assess data sufficiency•Uses narratives to triangulate outputs generated from participatory mapping data to reduce uncertainty related to low polygon counts.
Related Concept Videos
Sampling Plans
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
Levels of Use of a GIS
What are Populations and Communities?
Cluster Sampling Method
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
Stratified Sampling Method
To choose a stratified sample, divide the population into groups called strata and then take a...
Sample Proportion and Population Proportion

