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Spatial and Temporal Characteristics of Pastoral Mobility in the Far North Region, Cameroon: Data Analysis and Modeling.

Xiao N, Cai S, Moritz M, Garabed R, Pomeroy LW - PLoS ONE (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Geography, The Ohio State University, Columbus, OH, United States of America.

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.

No MeSH data available.


Related in: MedlinePlus

The convex hulls of the data (shaded) and of simulation results for year 2007–2008.The dots represent the locations of the pastoralists in the survey data. Pastoralist groups 1 through 3 are represented in the left, center, and right maps, respectively. For each group, only one example of the 100 simulations is shown.
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pone.0131697.g013: The convex hulls of the data (shaded) and of simulation results for year 2007–2008.The dots represent the locations of the pastoralists in the survey data. Pastoralist groups 1 through 3 are represented in the left, center, and right maps, respectively. For each group, only one example of the 100 simulations is shown.

Mentions: Due to the variation of convex hulls in different simulations, it is difficult to visualize all the hulls in one figure. Here we show some example convex hulls from the simulations using the models along with that from the data for the three pastoralist groups (Fig 13). It appeared that the simulated pastoralist locations using the three models were generally consistent with the convex hulls from the data, and it is clear that the KRN results of 1 km bandwidth match the data for most of the cases because the areas enclosed by the solid green lines (1 km KRN results) closely match the grey areas (data). Table 5 includes the overlapped convex hull area ratio between each of the modeling results and the data.


Spatial and Temporal Characteristics of Pastoral Mobility in the Far North Region, Cameroon: Data Analysis and Modeling.

Xiao N, Cai S, Moritz M, Garabed R, Pomeroy LW - PLoS ONE (2015)

The convex hulls of the data (shaded) and of simulation results for year 2007–2008.The dots represent the locations of the pastoralists in the survey data. Pastoralist groups 1 through 3 are represented in the left, center, and right maps, respectively. For each group, only one example of the 100 simulations is shown.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4495066&req=5

pone.0131697.g013: The convex hulls of the data (shaded) and of simulation results for year 2007–2008.The dots represent the locations of the pastoralists in the survey data. Pastoralist groups 1 through 3 are represented in the left, center, and right maps, respectively. For each group, only one example of the 100 simulations is shown.
Mentions: Due to the variation of convex hulls in different simulations, it is difficult to visualize all the hulls in one figure. Here we show some example convex hulls from the simulations using the models along with that from the data for the three pastoralist groups (Fig 13). It appeared that the simulated pastoralist locations using the three models were generally consistent with the convex hulls from the data, and it is clear that the KRN results of 1 km bandwidth match the data for most of the cases because the areas enclosed by the solid green lines (1 km KRN results) closely match the grey areas (data). Table 5 includes the overlapped convex hull area ratio between each of the modeling results and the data.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Department of Geography, The Ohio State University, Columbus, OH, United States of America.

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.

No MeSH data available.


Related in: MedlinePlus