Data from: Spatial and temporal characteristics of pastoral mobility in the Far North Region, Cameroon: data analysis and modeling

When using this dataset, please cite the original article.

Xiao N, Cai S, Moritz M, Garabed R, Pomeroy LW (2015) Spatial and temporal characteristics of pastoral mobility in the Far North Region, Cameroon: data analysis and modeling. PLoS ONE 10(7): e0131697. doi:10.1371/journal.pone.0131697

Additionally, please cite the Movebank data package:

Moritz M (2018) Data from: Spatial and temporal characteristics of pastoral mobility in the Far North Region, Cameroon: data analysis and modeling. Movebank Data Repository. doi:10.5441/001/1.pk5ps1r3
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Package Identifier doi:10.5441/001/1.pk5ps1r3  
 
Abstract Modeling the movements of humans and animals is critical to understanding the transmission of infectious diseases in complex social and ecological systems. In this paper, we focus on the movements of pastoralists in the Far North Region of Cameroon, who follow an annual transhumance by moving between rainy and dry season pastures. Describing, summarizing, and modeling the transhumance movements in the region are important steps for understanding the role these movements may play in the transmission of infectious diseases affecting humans and animals. We collected data on this transhumance system for four years using a combination of surveys and GPS mapping. An analysis on the spatial and temporal characteristics of pastoral mobility suggests four transhumance modes, each with its own properties. Modes M1 and M2 represent the type of transhumance movements where pastoralists settle in a campsite for a relatively long period of time (≥20 days) and then move around the area without specific directions within a seasonal grazing area. Modes M3 and M4 on the other hand are the situations when pastoralists stay in a campsite for a relatively short period of time (<20 days) when moving between seasonal grazing areas. These four modes are used to develop a spatial-temporal mobility (STM) model that can be used to estimate the probability of a mobile pastoralist residing at a location at any time. We compare the STM model with two reference models and the experiments suggest that the STM model can effectively capture and predict the space-time dynamics of pastoral mobility in our study area.
Keywords cattle, common-pool resources, GPS tracking, Homo sapiens, infectious disease, livestock, pastoralism, transhumance,

Transhumance 2007-2011, Far North Region, Cameroon View File Details
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Transhumance 2007-2011, Far North Region, Cameroon-reference-data View File Details
Download: README.txt ( 10.36Kb )
Download: Transhumance 2007-2011, Far North Region, Cameroon-reference-data.csv ( 33.07Kb )
To the extent possible under law, the authors have waived all copyright and related or neighboring rights to this data.  


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