Simulated data and code from: Socio-economic predictors of Inuit hunting choices and their implications for climate change adaptation

These data are part of a data portal that accompanies the special issue ‘Climate change adaptation needs a science of culture,’ published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit 10.5061/dryad.bnzs7h4h4.
Summary
Repository of R and Stan code to simulate and analyse foraging trip data (patch choice and harvest success).

Accompanying manuscript
F. Hillemann, B. A. Beheim, E. Ready. 2023. Socio-economic predictors of Inuit hunting strategies and their implications for climate change adaptation. Phil. Trans. R. Soc. B 378: 20220395. https://doi.org/10.1098/rstb.2022.0395
Manuscript Abstract:In the Arctic, seasonal variation in the accessibility of the land, sea ice, and open waters influences which resources can be harvested safely and efficiently. Climate stressors are also increasingly affecting access to subsistence resources. Within Inuit communities, people differ in their involvement with subsistence activities, but little ...,

Simulated data:
This repository includes R code to simulate and analyse harvest trip data. Exemplary data are included (dataset .csv outputs can be reproduced using the code provided).
Real-life data collection:
The data analysed in the manuscript were collected as part of a mixed-methods research project focused on Inuit subsistence and food security in Kangiqsujuaq (Nunavik, Quebec, Canada). Between October 2013 and July 2014, ER recorded details of all harvesting activities by members of eight Inuit households from different socio-economic backgrounds, during fortnightly interviews. Details recorded in these interviews include the Inuktitut name of the destination (toponym), the harvester’s target species or goal for the trip, number and identity of companions on the trip, the mode of transport and an estimate of gasoline used, and what and how much was harvested (if anything). Some additional harvesting trips were recorded during participation observation (foraging follows) and ..., The R code file contains information on software prerequisites, code to simulate foraging trip data, and code to analyse the data using Stan (a probabilistic programming language for statistical inference written in C++), and code to generate and save model summaries (table) and visualisations used in the manuscript., These data are part of a data portal that accompanies the special issue ‘Climate change adaptation needs a science of culture,’ published in Philosophical Transactions of the Royal Society B in 2023. To access the data portal, please visit **[10.5061/dryad.bnzs7h4h4](https://doi.org/10.5061/dryad.bnzs7h4h4).**

### Summary

Repository of R and Stan code to simulate and analyse foraging trip data (patch choice and harvest success).

### Accompanying manuscript

F. Hillemann, B. A. Beheim, E. Ready. 2023. Socio-economic predictors of Inuit hunting strategies and their implications for climate change adaptation
Phil. Trans. R. Soc. B 378: 20220395. [https://doi.org/10.1098/rstb.2022.0395](https://doi.org/10.1098/rstb.2022.0395)

**Manuscript Abstract:**
In the Arctic, seasonal variation in the accessibility of the land, sea ice, and open waters influences which resources can be harvested safely and efficiently. Climate stressors are also increasingly affecting access to subsistence resourc...