ArticleJournal of the Royal Society, Interface2013
The effect of sampling rate on observed statistics in a correlated random walk.
Article in Journal of the Royal Society, Interface, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evidence for a consistent use of external cues by marine fish larvae for orientation.Communications biology · 2022Pooled it
- ManuTrace: An HTML-Based Interface for Manually Extracting Movement Trajectory Data From a Video.Ecology and evolution · 2026Article
- Approximate Solutions of a General Stochastic Velocity-Jump Model Subject to Discrete-Time Noisy Observations.Bulletin of mathematical biology · 2025Article
- Morphomigrational description as a new approach connecting cell's migration with its morphology.Scientific reports · 2023Article
- Mind the Queue: A Case Study in Visualizing Heterogeneous Behavioral Patterns in Livestock Sensor Data Using Unsupervised Machine Learning Techniques.Frontiers in veterinary science · 2020Article
- On Modeling Ensemble Transport of Metal Reducing Motile Bacteria.Scientific reports · 2019Article
- Tracking random walks.Journal of the Royal Society, Interface · 2018Article
- Robustness of movement models: can models bridge the gap between temporal scales of data sets and behavioural processes?Journal of mathematical biology · 2016Article
- A framework for analyzing the robustness of movement models to variable step discretization.Journal of mathematical biology · 2016Article
- Automated single particle detection and tracking for large microscopy datasets.Royal Society open science · 2016Article
- From Birds to Bacteria: Generalised Velocity Jump Processes with Resting States.Bulletin of mathematical biology · 2015Article
- Modelling and analysis of bacterial tracks suggest an active reorientation mechanism in Rhodobacter sphaeroides.Journal of the Royal Society, Interface · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tracking the movement of individual cells or animals can provide important information about their motile behaviour, with key examples including migrating birds, foraging mammals and bacterial chemotaxis. In many experimental protocols, observations are recorded with a fixed sampling interval and the continuous underlying motion is approximated as a series of discrete steps. The size of the sampling interval significantly affects the tracking measurements, the statistics computed from observed trajectories, and the inferences drawn. Despite the widespread use of tracking data to investigate motile behaviour, many open questions remain about these effects. We use a correlated random walk model to study the variation with sampling interval of two key quantities of interest: apparent speed and angle change. Two variants of the model are considered, in which reorientations occur instantaneously and with a stationary pause, respectively. We employ stochastic simulations to study the effect of sampling on the distributions of apparent speeds and angle changes, and present novel mathematical analysis in the case of rapid sampling. Our investigation elucidates the complex nature of sampling effects for sampling intervals ranging over many orders of magnitude. Results show that inclusion of a stationary phase significantly alters the observed distributions of both quantities.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.