Developing a Method for Visualizing Population Movements

2015 ◽  
pp. 205-221
Author(s):  
Matthew Kwan ◽  
Colin Arrowsmith ◽  
William Cartwright
Keyword(s):  
Mobile Phone ◽  
Large Population ◽  
Large City ◽  
Population Movements ◽  
Movement Vector ◽  
Mobile Phone Networks ◽  
Do So

This chapter describes a technique for visualizing the movements of a population in a region at a point in time. It is suitable for cases where a large population is spread throughout the region and can move in all directions, for example the population of a large city. By repeatedly clustering movement vector arrows it can visually summarize the movements of millions of individuals, and do so with moderate computing resources. The technique is designed to work with data captured from mobile phone networks, but other sources of data can also be used.

scholarly journals Did the NSA and GCHQ Diminish Our Privacy? What the Control Account Should Say

2020 ◽  
Vol 7 (1) ◽  
pp. 29-48 ◽  
Author(s):  
Leonhard Menges
Keyword(s):  
Mobile Phone ◽  
Personal Information ◽  
Real Life ◽  
Mobile Phone Data ◽  
Standard Account ◽  
Do So

AbstractA standard account of privacy says that it is essentially a kind of control over personal information. Many privacy scholars have argued against this claim by relying on so-called threatened loss cases. In these cases, personal information about an agent is easily available to another person, but not accessed. Critics contend that control accounts have the implausible implication that the privacy of the relevant agent is diminished in threatened loss cases. Recently, threatened loss cases have become important because Edward Snowden’s revelation of how the NSA and GCHQ collected Internet and mobile phone data presents us with a gigantic, real-life threatened loss case. In this paper, I will defend the control account of privacy against the argument that is based on threatened loss cases. I will do so by developing a new version of the control account that implies that the agents’ privacy is not diminished in threatened loss cases.

scholarly journals An Objective Algorithm for Detecting and Tracking Tropical Cloud Clusters: Implications for Tropical Cyclogenesis Prediction

2011 ◽  
Vol 28 (8) ◽  
pp. 1007-1018 ◽  
Author(s):  
Christopher C. Hennon ◽  
Charles N. Helms ◽  
Kenneth R. Knapp ◽  
Amanda R. Bowen
Keyword(s):  
Tropical Cyclone ◽  
Numerical Models ◽  
Global Analysis ◽  
Ocean Basin ◽  
Necessary Condition ◽  
Tropical Cyclogenesis ◽  
Movement Vector ◽  
Cloud Clusters ◽  
Real Time Tracking ◽  
Do So

Abstract An algorithm to detect and track global tropical cloud clusters (TCCs) is presented. TCCs are organized large areas of convection that form over warm tropical waters. TCCs are important because they are the “seedlings” that can evolve into tropical cyclones. A TCC satisfies the necessary condition of a “preexisting disturbance,” which provides the required latent heat release to drive the development of tropical cyclone circulations. The operational prediction of tropical cyclogenesis is poor because of weaknesses in the observational network and numerical models; thus, past studies have focused on identifying differences between “developing” (evolving into a tropical cyclone) and “nondeveloping” (failing to do so) TCCs in the global analysis fields to produce statistical forecasts of these events. The algorithm presented here has been used to create a global dataset of all TCCs that formed from 1980 to 2008. Capitalizing on a global, Gridded Satellite (GridSat) infrared (IR) dataset, areas of persistent, intense convection are identified by analyzing characteristics of the IR brightness temperature (Tb) fields. Identified TCCs are tracked as they move around their ocean basin (or cross into others); variables such as TCC size, location, convective intensity, cloud-top height, development status (i.e., developing or nondeveloping), and a movement vector are recorded in Network Common Data Form (NetCDF). The algorithm can be adapted to near-real-time tracking of TCCs, which could be of great benefit to the tropical cyclone forecast community.

Where the Imaginary Meets the Virtual

2020 ◽  
pp. 161-198
Author(s):  
Neville Bolt
Keyword(s):  
Social Networks ◽  
Social Movements ◽  
Mobile Phone ◽  
Information Age ◽  
Digital Technologies ◽  
Network Effect ◽  
The Internet ◽  
Digital Revolution ◽  
Slow Moving ◽  
Mobile Phone Networks

Chapter 6 examines how the insurgent landscape has been transformed by the digital revolution; how migrant disaporas and social networks have been brought closer together by digital technologies in the Information Age, and how social movements, once below the radar of states or emergent states, affect and outmaneuver slow-moving bureaucracies. This begs the question: is Propaganda of the Deed active or reactive, truly strategic or opportunistic? The answer lies closer to strategic opportunism, offering a strategy of fluidity able to capitalize on the switch from a one-to-many model of historic communications to a many-to-many model of contemporary communications. Indeed, it exploits to the full the network effect across the Internet and mobile phone networks.

RF Propagation Characteristics of In-Cabin CDMA Mobile Phone Networks

2006 ◽  
Author(s):  
G.A. Breit ◽  
H. Hachem ◽  
J. Forrester ◽  
P. Guckian ◽  
K.P. Kirchoff ◽  
...  
Keyword(s):  
Mobile Phone ◽  
Propagation Characteristics ◽  
Rf Propagation ◽  
Mobile Phone Networks

scholarly journals Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti

PLoS Medicine ◽  
2011 ◽  
Vol 8 (8) ◽  
pp. e1001083 ◽  
Author(s):  
Linus Bengtsson ◽  
Xin Lu ◽  
Anna Thorson ◽  
Richard Garfield ◽  
Johan von Schreeb
Keyword(s):  
Mobile Phone ◽  
Network Data ◽  
Population Movements ◽  
Mobile Phone Network

The end of life treatment of second generation mobile phone networks: Strategies to reduce the environmental impact

2005 ◽  
Vol 25 (5) ◽  
pp. 540-566 ◽  
Author(s):  
Wolfram Scharnhorst ◽  
Hans-Jörg Althaus ◽  
Mischa Classen ◽  
Olivier Jolliet ◽  
Lorenz M. Hilty
Keyword(s):  
Environmental Impact ◽  
Mobile Phone ◽  
End Of Life ◽  
Second Generation ◽  
Mobile Phone Networks ◽  
End Of Life Treatment

scholarly journals Seroprevalence of SARS-CoV-2 Antibodies Among Homeless People Living Rough, in Shelters and Squats: A Large Population-Based Study in France

2021 ◽  
Author(s):  
Sandrine Loubière ◽  
Elisabetta Monfardini ◽  
Camille Allaria ◽  
Marine Mosnier ◽  
Agathe Allibert ◽  
...  
Keyword(s):  
Large Population ◽  
Large City ◽  
Homeless People ◽  
Population Based ◽  
Homeless Population ◽  
Health Maintenance ◽  
Increased Risk ◽  
Wide Scale ◽  
Sanitary Conditions ◽  
To Receive

Background: Overcrowded housing, as well as inadequate sanitary conditions, contribute to making homeless people particularly vulnerable to the SARS-CoV-2 infection. We aimed to assess the seroprevalence of the SARS-CoV-2 infection among people experiencing homelessness on a large city-wide scale in France, taking into account different community settings. Methods: A consortium of outreach teams in 48 different locations including streets, slums, squats, emergency or transitional shelters and drop-in centres participated in the inclusion process. All participants consented to receive a validated rapid assay for immunoglobulins M (IgM) and G (IgG) antibodies and to answer a questionnaire on medical health conditions, comorbidities, historic of symptoms compatible with COVID-19, with a retrospective calendar of types of accommodation since COVID-19 crisis. Results: From June 01 to August 05, 2020, 1,156 homeless participants were enrolled in the study and tested. Seroprevalence of SARS-CoV-2 IgG/IgM antibodies was 5.6% (95%CI 2.3–7.0), with a range of 2.2% in people living on the streets to 8.1% in people living in emergency shelters (P=0.009). Around one third of the seropositive participants reported symptoms with COVID-19. Compared to the general population in Marseille (3.6%), the homeless population living in the same urban area experienced an significant increased risk of SARS-CoV-2 infection (|z|=3.65 > 1.96). Conclusion: These results highlight the need for organizing regular screening to prevent clusters forming in homeless accommodations and for providing basic resources for health maintenance.

Sign in / Sign up

Export Citation Format

Share Document