Data for: Social-ecological predictors of spotted hyena navigation through a shared landscape

Human-wildlife interactions are increasing in severity due to climate change and proliferating urbanization. Regions where human infrastructure and activity are rapidly densifying or newly appearing constitute novel environments in which wildlife must learn to coexist with people, thereby serving as ideal case studies with which to infer future human-wildlife interactions in shared landscapes. As a widely reviled and behaviorally plastic apex predator, the spotted hyena (Crocuta crocuta) is a model species for understanding how large carnivores navigate these human-caused ‘landscapes of fear’ in a changing world. Using high-resolution GPS collar data, we applied resource selection functions and step selection functions to assess spotted hyena landscape navigation and fine-scale movement decisions in relation to social-ecological features in a rapidly developing region comprising two protected areas: Lake Nakuru National Park and Soysambu Conservancy, Kenya. We then used camera trap imag..., Spotted hyena GPS data were collected from February 2019-December 2021 in Nakuru County, Kenya.
Human perception and experience raster data were derived from participatory mapped data collected in 2018-2019 from residents of 16 sub-villages in Nakuru County, Kenya (see Wilkinson et al. 2021; https://doi.org/10.3389/fcosc.2021.681769).
The \"distance to roads\" raster data were derived from Open Street Maps and by hand tracing roads prior to rasterization. 
The \"distance to boundaries\" raster data were derived from in-person mapping via driving and walking the boundaries of the study region's two protected areas: Lake Nakuru National Park and Soysambu Conservancy.
All raster data were derived at 30m spatial resolution., , # Data for manuscript: Social-ecological predictors of spotted hyena movement through a shared landscape

[https://doi.org/10.5061/dryad.0vt4b8h52](https://doi.org/10.5061/dryad.0vt4b8h52)

Included herein are the raw GPS collar data and author-owned geospatial layers used for analyses of spotted hyena movement through social-ecological landscapes. The manuscript associated with these data can be found here: [https://doi.org/doi.org/10.1002/ece3.11293](https://doi.org/doi.org/10.1002/ece3.11293)

Funding sources that supported the collection of these data: National Geographic Society, Oliver Lyman Fund for Wildlife & Fisheries, Andrew and Mary Thompson Rocca Fellowship, Greenville Zoo, National Science Foundation Graduate Research Fellowship.

Recommended citation for this dataset: Wilkinson, C.E., Xu, W., Luneng Solli, A., Brashares, J.S., Chepkisich, C., Osuka, G., and Kelly, M. 2024. Data from: Social-ecological predictors of spotted hyena movement through a shared landscape. Dry...