sampley: sample survey data
Description
The sampley package serves to sample survey data (hence 'sampley': 'sample' + 'survey'). By 'survey data', we refer
principally to systematic visual survey data, nevertheless, the sampley package may also be applicable to other
kinds of survey data. By 'sample', we mean process those data to produce distinct samples that can then be input to a
model.
Data can be processed by one or more of three approaches referred to here as the grid, segment, and point approach.
The grid approach consists of overlaying a grid, typically rectangular or hexagonal, onto the study area and
allocating detections and, optionally, survey effort to the cells that they lie within. Additionally, data may be
allocated to temporal periods. Each cell within a given period then serves as a sample.
The segment approach involves taking sections of continuous, uniform survey effort and cutting them into segments
of standardised lengths. Each segment, with associated detections and other data, then serves as a sample.
The point approach consists of using the detections, or a subset thereof, as presences and then sampling absences
from absence zones (i.e., areas that were surveyed but where the species was not detected).
For more information, please consult the User Manual (available on the GitHub repo at:
https://github.com/JSymeCT/sampley/blob/main/sampley%20-%20User%20Manual.pdf)
or the associated paper (available at: https://doi.org/10.1111/2041-210x.70320)
Installation
pip install sampley
Import
For basic use of sampley, run:
from sampley import *
To access the underlying functions, run:
from sampley.functions import *
User Manual
A user manual containing more detailed information is available on GitHub at: https://github.com/JSymeCT/sampley/blob/main/sampley%20-%20User%20Manual.pdf
Example usage
Several exemplars illustrating how to use sampley are available on GitHub at:
https://github.com/JSymeCT/sampley/tree/main/exemplars
See the Introduction to sampley exemplars (intro.ipynb) for more information
(https://github.com/JSymeCT/sampley/blob/main/exemplars/intro.ipynb)
License
MIT
Citation
To cite sampley, please cite the following paper:
Syme, J., Pendleton, D. E., Meyer-Gutbrod, E. L., Tupper, B., & Record, N. R. (2026).
sampley: A Python package for sampling visual survey data.
Methods in Ecology and Evolution. https://doi.org/10.1111/2041-210x.70320
You can also cite the package directly with:
Syme, J., Pendleton, D. E., Meyer-Gutbrod, E. L., Tupper, B., & Record, N. R. (2026).
sampley: sample survey data (v0.0.16). https://doi.org/10.5281/zenodo.19616964
Thank you!
Metadata
Release files for sampley 0.0.16
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| sampley-0.0.16.tar.gz | 52.5 kB | Details |
Built distribution (wheel)
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|---|---|---|---|---|
| sampley-0.0.16-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 105.2 kB
Release files / sampley-0.0.16.tar.gz
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