This project is to reproduce the results of my Ph.D. thesis and the corresponding journal and conference papers. This could be useful if you analyze animal movement data of any species to understand their movement patterns in their surrounding environment. It is a work in progress.
main.r: all analyses start here
Use git to clone like below or simply download a zip archive using
GitHub interface.
git clone https://github.com/faridcher/cacplIf you use the code and find this repository useful, at minimum please cite third and fifth item:
Cheraghi, Farid. 2018. “Movement Mining Using Ambient Intelligence (in Persian).” PhD thesis, University of Tehran. https://ganj.irandoc.ac.ir/#/articles/0575b0e8b387b735e2501a92a4fda987.
Cheraghi, Farid, Mahmoud Reza Delavar, Farshad Amiraslani, and Kazem Alavipanah. 2017. “Asiatic Cheetah Behavioral Estimation from Telemetry Data Using Bayesian Statistics.” In Imaging and Geospatial Technology Forum IGTF 2017 ASPRS Conference Proceedings. Baltimore, Maryland, USA: American Society for Photogrammetry; Remote Sensing (ASPRS).
Cheraghi, Farid, Mahmoud Reza Delavar, Farshad Amiraslani, Kazem Alavipanah, Eliezer Gurarie, Stephane Ostrowski, Luke Hunter, Houman Jowkar, and William F. Fagan. 2019. “Inter-Dependent Movements of Acinonyx Jubatus Venaticus and Panthera Pardus Saxicolor in a Desert Environment (Mammalia: Felidae).” Zoology in the Middle East 65 (4): 283–92. https://doi.org/10.1080/09397140.2019.1632538.
Cheraghi, Farid, Mahmoud Reza Delavar, Farshad Amiraslani, and Seyed Kazem Alavipanah. 2018. “Movement Mining of Animals’ Behavior and Interaction: Asiatic Cheetah and Persian Leopard in Bafq Protected Area (in Persian).” Journal of Environmental Studies 44 (2): 331–44. http://doi.org/10.22059/jes.2018.257902.1007663.
Cheraghi, Faridedin, Mahmoud Reza Delavar, Farshad Amiraslani, Seyed Kazem Alavipanah, Eliezer Gurarie, and William F. Fagan. 2018. “Statistical Analysis of Asiatic Cheetah Movement and Its Spatio-Temporal Drivers.” Journal of Arid Environments 151 (April): 141–45. https://doi.org/10.1016/j.jaridenv.2017.12.003.
The project is released under GPL-3