Visualization of Railroad Equipment Accident Causes Using Data Visualization Systems and GIS

2017 ◽  
Author(s):  
Trefor Williams ◽  
John Betak
Keyword(s):  
Data Visualization ◽  
The United States ◽  
Complex Interaction ◽  
Visualization System ◽  
System A ◽  
Train Speed ◽  
Grade Crossing ◽  
Visualization Systems ◽  
Using Data ◽  
Data Visualizations

The objective of this paper is to demonstrate how GIS and data visualization systems can be used to identify spatial relationships to add to our understanding of railroad accident factors. Examples are given of the spatial analysis of broken rail accidents and grade crossing accidents on GIS maps. Additionally, using the Weave data visualization system a data dashboard was constructed that shows the complex interaction between variables like track type, FRA track classification, train speed and track density with broken rail accident causes. The findings indicate that broken rail accidents occur most frequently in the Midwest. Possibly this trend is related to climate change and increased temperatures and precipitation in the United States. GIS visualizations also showed that many truck-trailer accidents at grade crossings occur in low population areas. This work indicates that GIS and data visualizations are a useful method of identifying trends in railroad accidents.

Using Data Visualization to Analyze Grade Crossing Accidents

2015 ◽  
Author(s):  
Trefor Williams ◽  
James Abello ◽  
John Betak ◽  
David Desimone
Keyword(s):  
Data Visualization ◽  
Time Varying ◽  
Visualization System ◽  
Railroad Industry ◽  
Accident Data ◽  
Pedestrian Accidents ◽  
Grade Crossing ◽  
Grade Crossings ◽  
Using Data ◽  
Visualization Techniques

The Federal Railroad Administration grade crossing accident database contains numerous interrelated variables. Understanding of how the variables are interrelated can be enhanced using modern visualization techniques. These techniques can allow managers from railroads and government agencies to find complex variables relationships not usually provided by routine statistical analyses. For this research we have developed several dashboards of linked visualizations using the Weave data visualization software [5]. Our visualizations explore various accident types of concern to the railroad industry including trespassing and pedestrian accidents, passenger train accidents, actions of highway users involved in accidents, and the effect of different types of warning devices on grade crossing accidents. In addition, we are currently developing an advanced visualization system that views the accident data as time varying events occurring over a fixed grade crossings topology. This view allows the application of a recent network data abstraction termed “Graph Cards.” We present initial examples of the advanced system that provides a variety of filtering mechanisms to view statistical distributions and their time varying behavior over the grade crossings topology.

scholarly journals Sexual Abstinence in the United States: Cohort Trends in Abstaining from Sex While Never Married for U.S. Women Born 1938 to 1983

2020 ◽  
Vol 6 ◽  
pp. 237802312090847
Author(s):  
Lawrence L. Wu ◽  
Steven P. Martin ◽  
Paula England ◽  
Nicholas D. E. Mark
Keyword(s):  
United States ◽  
Data Visualization ◽  
The United States ◽  
Sexual Abstinence ◽  
Birth Cohorts ◽  
Never Married ◽  
National Surveys ◽  
Family Growth ◽  
Using Data

In this data visualization, the authors document trends in abstaining from sex while never married for U.S. women born 1938–1939 to 1982–1983. Using data from the six most recent National Surveys of Family Growth, the authors’ estimates suggest that for women born in the late 1930s and early 1940s, 48 percent to 58 percent reported abstaining from sex while never married. Abstinence then declined rapidly among women born in the late 1940s through the early 1960s, leveling off at between 9 percent and 12 percent for more recent birth cohorts. Thus, for U.S. women born between the mid-1960s and the early 1980s, roughly one in nine abstained from sex while never married.

Between automation and interpretation : Using data visualization in social media analytics companies

2020 ◽  
Author(s):  
Salla-Maaria Laaksonen ◽  
Juho Pääkkönen
Keyword(s):  
Social Media ◽  
Data Visualization ◽  
Social Media Analytics ◽  
Use Of Data ◽  
Representational Practice ◽  
Field Notes ◽  
Using Data ◽  
Data Visualizations ◽  
Knowledge Claims

This chapter explores the use of data visualizations in social media analytics companies. Drawing on a dataset of ethnographic field notes and thematic interviews in four Finnish social media analytics companies, we argue that data visualizations are crucially involved in how analytics-based knowledge claims become accepted by companies and their clients. Basing on previous research on visualizations in organizations and as a representational practice, we explore their role in social media analytics. We identify three practices of using visualizations, which we have named have simple-boxing, flatter-boxing, and pretty-boxing. We argue that these practices enable analysts to achieve the simultaneous aims of producing credible and valuable analytics in a context marked by high business promises.

Posaconazole Administration in Hospitalized Children in the United States

2018 ◽  
Vol 8 (5) ◽  
pp. 481-484
Author(s):  
Sondra Lavigne ◽  
Brian T Fisher ◽  
Darcy Ellis ◽  
Theoklis E Zaoutis ◽  
Kevin J Downes
Keyword(s):  
United States ◽  
Information System ◽  
Health Information ◽  
Health Information System ◽  
The United States ◽  
Hospitalized Children ◽  
Pediatric Health ◽  
System A ◽  
Using Data

Abstract In this study, we evaluated posaconazole use among hospitalized children between October 2006 and September 2015 using data from the Pediatric Health Information System. A total of 878 children (in 1949 admissions) received posaconazole, and administration increased 22% per year overall and 27% per year in children aged <13 years for whom the drug was not approved.

scholarly journals “Missing/Unspecified”: Demographic Data Visualization During the COVID-19 Pandemic

2020 ◽  
Vol 35 (1) ◽  
pp. 80-87
Author(s):  
Rachel Atherton
Keyword(s):  
Data Visualization ◽  
Science Communication ◽  
Black People ◽  
Demographic Data ◽  
Early Data ◽  
Marginalized Communities ◽  
Using Data ◽  
Data Visualizations

While data 1 has shown that COVID-19 disproportionately affects Black people, the CDC’s early data listed race as “missing/unspecified” at high rates. Incomplete demographic data obscures the virus’s full impact on marginalized communities. Without more information about who the virus is affecting and how, we cannot protect our most vulnerable. This article demonstrates disconnects between reported datasets and data visualizations in public-facing COVID health and science communication and suggests steps that technical and professional communicators can take in creating or using data visualizations accurately and ethically to describe COVID conditions and impacts.

scholarly journals Using Data Visualization to Examine an Academic Library Collection

2017 ◽  
Vol 77 (6) ◽  
Author(s):  
Jannette L. Finch ◽  
Angela R. Flenner
Keyword(s):  
Data Visualization ◽  
Academic Library ◽  
Graphical Analysis ◽  
Library Collection ◽  
Excellent Starting Point ◽  
Starting Point ◽  
Library Book ◽  
Using Data ◽  
The University ◽  
Data Visualizations

The authors generated data visualizations to compare sections of the library book collection, expenditures in those areas, student enrollment in majors and minors, and number of courses. The visualizations resulting from the entered data provide an excellent starting point for conversations about possible imbalances in the collection and point to areas that are either more developed or less developed than is needed to support the major and minor areas of study at the university. The methodology used should offer a template to follow for others wishing to examine their collection and may prove valuable for adjusting expenditures, suggesting service opportunities or for marketing pieces of the collection that had been hidden before graphical analysis.

scholarly journals Evaluasi Pembangunan Sistem Visualisasi Data (Studi Kasus: Pengelolaan Data pada Kementerian Dalam Negeri Indonesia)

2018 ◽  
Vol 2016 (2) ◽  
Author(s):  
Muhammad Fikry Abyadl ◽  
Sumarno ◽  
Indrianawati
Keyword(s):  
Data Visualization ◽  
Information Visualization ◽  
Suitability Analysis ◽  
Process Data ◽  
Top Down ◽  
Work Unit ◽  
Visualization System ◽  
Basic Task ◽  
And Function ◽  
Data Visualizations

ABSTRAKPembangunan sistem visualisasi data (vista) Kemendagri merupakan langkah awalpengolahan data dan informasi Kemendagri oleh Pusdatinkomtel untuk menyederhanakan, mempermudah, mempercepat, memanipulasi, serta mengolah data dan informasi menjadi berbagai variasi penyajian data. Kebutuhan penyajian data dan informasi pada sistem vista disesuaikan dengan tugas pokok dan fungsi unit kerja di lingkungan Kemendagri. Tujuan penelitian ini adalah untuk mengevaluasi pembangunan sistem vista Kemendagri terkait data, metode, dan implementasi visualisasi data. Metode penelitian yang digunakan adalah metode top-­down, yaitu metode analisis kebutuhan data yang diturunkan berdasarkan tupoksi yang telah terbentuk di instansi tersebut. Hasil identifikasi data berdasarkan tupoksi Kemendagri selanjutnya dibandingkan dengan hasil identifikasi sistem vista Kemendagri sehingga dapat dilakukan analisis kesesuaian data. Dari hasil analisis tersebut, dapat diketahui bahwa sistem vista Kemendagri baru memenuhi 71,11% dari kebutuhan penyajian data dan informasi di lingkungan Kemendagri. Hal tersebut dikarenakan setiap kategori pada sistem vista masih terdapat kekosongan data sehingga belum memenuhi keseluruhan kebutuhan penyajian data.Kata kunci: visualisasi data, sistem visualisasi data, kementerian dalam negeriABSTRACTDevelopment of the Ministry of Home Affair’s data visualization system by Pusdatinkomtel is a first step in processing the Ministry of Home Affair’s data and information. The development aims to simplify, accelerate, facilitate, manipulate and process data and information into various data visualizations. Data and information visualization necessity develops in agreement with basic task and function of work unit in the Ministry of Home Affair’s. This study aims to evaluate development of the Ministry of Home Affair’s data visualization system related to the data, method, and implementation of data visualization. The research method in this study uses a top-­down method. The method analyses data needs based on the basic task and function of work unit in the Ministry of Home Affairs. Furthermore, data suitability analysis is done by comparing result of data identification based on the basic task and function of Ministry of Home Affair’s with data visualization system. The analysis result shows the Ministry of Home Affair’s data visualization system only fulfilling 71.11% from the data and information visualization necessity in the Ministry of Home Affair’s. This is because each category in data visualization system still has data gaps so it has not met the overall needs of data visualization.Keywords: data visualization, data visualization system, ministry of home affairs

scholarly journals "What Happened Here!?" A Taxonomy for User Interaction with Spatio-Temporal Game Data Visualization

2021 ◽  
Vol 5 (CHI PLAY) ◽  
pp. 1-27
Author(s):  
Erica Kleinman ◽  
Nikitha Preetham ◽  
Zhaoqing Teng ◽  
Andy Bryant ◽  
Magy Seif El-Nasr
Keyword(s):  
Data Visualization ◽  
User Study ◽  
User Interaction ◽  
Future Research ◽  
Temporal Data ◽  
Making Meaning ◽  
Visualization System ◽  
Formal Taxonomy ◽  
Spatio Temporal ◽  
Data Visualizations

Currently, there is no formal taxonomy for the activities that users engage in when interacting with and making meaning from spatio-temporal game data visualizations. As data visualization, especially spatio-temporal visualization, becomes more popular for game data analytics, it becomes increasingly crucial that we develop a formal understanding of how users, especially players, interact with and extract meaning from game data using these systems. However, existing taxonomies developed for InfoVis are not directly applicable due to domain differences and a lack of consensus within the literature. This paper presents the beginnings of a taxonomy for user interaction with spatio-temporal data specific to the domain of games, developed from the results of a qualitative user study (n=7) in which experienced players were tasked with using a spatio-temporal visualization system to explore and understand telemetry data from Defense of the Ancients 2 (DotA 2). The taxonomy includes seven activities organized into three categories: Data Interaction, Sense Making, and Validation. We discuss the implications of these activities on design and future research.

Show Me What Happened

2017 ◽  
Vol 55 (1) ◽  
pp. 51-77 ◽  
Author(s):  
Dale W. Willits ◽  
David A. Makin
Keyword(s):  
United States ◽  
Regression Analysis ◽  
Data Visualization ◽  
Use Of Force ◽  
The United States ◽  
Police Agency ◽  
Temporal Variables ◽  
Temporal Sequencing ◽  
Using Data ◽  
Visualization Techniques

Objectives: Using temporal sequencing of unedited police body-worn camera (BWC) footage of use of force incidents, we test four hypotheses to understand how incident-characteristics influence use of force, duration of that force, and the type and severity of force used by police. Method: We code and analyze using data visualization techniques and regression analysis unedited BWC footage involving use of force in a single police agency in the United States. Results: Use of force occurs relatively early in most interactions, though gender, race, and behavioral factors partially explain when and how much force is used. Regression results indicate that force is used more quickly against Black suspects and males. Suspect resistance predicts both time to force (TtF) and the duration of force applied. Finally, police are more likely to use greater levels of force in longer, more drawn-out interactions. Conclusions: Our results appear to support existing theories for disproportionate use of force, though we caution restraint in generalizing our results. We find support only at our temporal level (TtF) and do not find support for the duration or severity of that force used. These temporal variables provide additional context toward better understanding and further contextualizing use of force by police.

Migration and the Internet

2017 ◽  
Vol 14 (3) ◽  
pp. 331-342 ◽  
Author(s):  
Thomas John Cooke ◽  
Ian Shuttleworth
Keyword(s):  
United States ◽  
Information And Communication Technologies ◽  
Unobserved Heterogeneity ◽  
Panel Study ◽  
The United States ◽  
Negative Effect ◽  
Information And Communication ◽  
Using Data ◽  
And Migration ◽  
Dynamics Models

It is widely presumed that information and communication technologies, or ICTs, enable migration in several ways; primarily by reducing the costs of migration. However, a reconsideration of the relationship between ICTs and migration suggests that ICTs may just as well hinder migration; primarily by reducing the costs of not moving.  Using data from the US Panel Study of Income Dynamics, models that control for sources of observed and unobserved heterogeneity indicate a strong negative effect of ICT use on inter-state migration within the United States. These results help to explain the long-term decline in internal migration within the United States.

Sign in / Sign up

Export Citation Format

Share Document