Limits...
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

Results from the MVN model.Each contour encloses an area where G(xt = x) ≥ 95%. Each map shows the result after overlaying the contours of every 5 days throughout the year. Groups 1, 2, and 3 are represented in the figures from left to the right. The part of contours outside the study area is not shown in the maps.
© Copyright Policy
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4495066&req=5

pone.0131697.g010: Results from the MVN model.Each contour encloses an area where G(xt = x) ≥ 95%. Each map shows the result after overlaying the contours of every 5 days throughout the year. Groups 1, 2, and 3 are represented in the figures from left to the right. The part of contours outside the study area is not shown in the maps.

Mentions: After parameterization of the KRN and MVN models, we again discretized their probability fields, F(xt = x) and G(xt = x), on the same grid as for the STM model. To illustrate these values, we again used contour lines on a 5-day interval throughout a year to represent the dynamics of pastoralist movement (Figs 9 and 10). For a time t, we have ∑xF(xt = x) = 1 and ∑xG(xt = x) = 1. The KRN model has four sets of results, each corresponding to a bandwidth value, and results of using three bandwidths are shown in Fig 9.


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)

Results from the MVN model.Each contour encloses an area where G(xt = x) ≥ 95%. Each map shows the result after overlaying the contours of every 5 days throughout the year. Groups 1, 2, and 3 are represented in the figures from left to the right. The part of contours outside the study area is not shown in the maps.
© Copyright Policy
Related In: Results  -  Collection

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

pone.0131697.g010: Results from the MVN model.Each contour encloses an area where G(xt = x) ≥ 95%. Each map shows the result after overlaying the contours of every 5 days throughout the year. Groups 1, 2, and 3 are represented in the figures from left to the right. The part of contours outside the study area is not shown in the maps.
Mentions: After parameterization of the KRN and MVN models, we again discretized their probability fields, F(xt = x) and G(xt = x), on the same grid as for the STM model. To illustrate these values, we again used contour lines on a 5-day interval throughout a year to represent the dynamics of pastoralist movement (Figs 9 and 10). For a time t, we have ∑xF(xt = x) = 1 and ∑xG(xt = x) = 1. The KRN model has four sets of results, each corresponding to a bandwidth value, and results of using three bandwidths are shown in Fig 9.

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