7 research outputs found
Centrality values between districts in Kenya.
<p>Centrality values between districts in Kenya.</p
Movement patterns captured at different temporal scales illustrate connectivity between districts in Kenya within a 24-hour time period (N = 90,645 tracks) and during a ten month time period (N = 17,900).
<p>Each line represents a movement segment. The long distance tracks indicates population movements by plane or by train within the country. Maps created using ArcGIS 10.2.</p
Summary of Twitter data used in this analysis that was collected for Kenya between June 2013 and March 2014 (N<sub>unique users</sub> = 28,335; N<sub>tweets</sub> = 720,149).
<p>Summary of Twitter data used in this analysis that was collected for Kenya between June 2013 and March 2014 (N<sub>unique users</sub> = 28,335; N<sub>tweets</sub> = 720,149).</p
Maps illustrating (A) the distribution of geo-located tweets in the study area for users who crossed-borders (N = 770) (B) connections between Kenya and the surrounding countries and (C) a flow map showing the connectivity between different geographic locations by travel distance.
<p>Map created using ArcGIS 10.2.</p
A framework and associated data sources useful for capturing human mobility in time and space.
<p>Movements are characterized in terms of their spatial and temporal scale, which are defined in terms of physical displacement (<i>spatial</i>) and time spent (<i>temporal</i>, frequency and duration) (Source: adapted from [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0129202#pone.0129202.ref045" target="_blank">45</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0129202#pone.0129202.ref057" target="_blank">57</a>]).</p
Map illustrating the connectivity between districts and Eigenvector value illustrating the level of influence of each district.
<p>For clarity we have only illustrated linkages with more than 100 connections and Eigenvectors greater than 0.50. Map created using ArcGIS 10.2.</p
Connectivity between locations and human movement within Kenya.
<p>(A) Distances travelled daily, monthly and in total by each user and (B) the proportion of user’s radius of gyration (solid line).</p