Different place... same temperature?
Spatio-temporal analysis of white-fronted geese temperature trajectories
Carles Milà, Giulia Molisse, Sebastián Garzón, Parichay Mandal (2020).
Westfälische Wilhelms-Universität.
This repository contains the supplementary material required to reproduce the findings of the study Spatio-temporal analysis of white-fronted geese temperature trajectories.
- Python 3
- QGIS (3.x any version)
- Clone this repository
- Add
points.shp
andlines.shp
of geese trajectories intodatabases/shapefiles
(including.dbf
.fix
.prj
.qix
.shp
and.shx
files). The GPS data used for this study must be requested from the authors on the Movebank platform. We are not authorized to distribute the dataset. - In file
goose_analysis.py
modifyproject_folder
variable to the current location of this folder on your computer - Modify QGIS configuration for Python:
- Go to Settings -> Options
- In the window that appears, go to the tab System
- In that tab, go to the Environment section
- Check the box
Use custom variables
- Add a variable
PYTHONPATH
and as the value add thepath
where your modules are located (same asproject_folder
from step 3) - Restart QGIS
- RUN
goose_analysis.py
script by using the QGIS - Python IDLE. After running the script figures of this study are going to be available in thefigures
folder.
Script name | Section | Carles | Giulia | Sebastian | Parichay |
---|---|---|---|---|---|
goose_analysis.py |
Main | S | S | M | S |
stack_tiff.py |
Preprocessing | M | |||
import_raster.py |
Preprocessing | S | M | ||
import_shapefile.py |
Preprocessing | M | |||
get_temperature.py |
Preprocessing | S | M | ||
get_arrays.py |
Preprocessing | M | S | ||
anova.py |
Analysis | M | |||
get_table.py |
Analysis | M | |||
get_summary.py |
Analysis | M | |||
heatmap.py |
Postprocessing | M | |||
individual_distributions.py |
Postprocessing | M | |||
monthly_distributions.py |
Postprocessing | M | |||
plot_trajectories.py |
Postprocessing | M | |||
rasterplot.py |
Postprocessing | M | |||
timeseries.py |
Postprocessing | M |
M = Main contributor
S = Secondary contributor