Cartographic Design for Improved Decision Making
Trade-Offs in Uncertainty Visualization for Tornado Threats
Bibliographic Data
| ID | 3169175 |
|---|---|
| Authors | Kimberly E Klockow-Mcclain (0000-0002-3859-4831, Cooperative Institute for Mesoscale Meteorological Studies), R A Mcpherson (0000-0002-1497-9681, Climate Central), Rick P Thomas (0000-0003-3610-2722, Georgia Institute of Technology) |
| Year | 2020 |
| Volume | 110 |
| Issue | 1 |
| Pages | 314-333 |
| Publication date | 2020-01-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Annals of the American Association of Geographers (JOURNAL) |
| Journal identifiers | ISSN: 2469-4452 • E-ISSN: 2469-4460 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/24694452.2019.1602467 |
| OpenAlex | W2950026499 |
| Language | EN |
| Citations received | 16 |
| References cited | 44 |
At present, the National Oceanic and Atmospheric Administration is developing new technologies that could offer explicit estimates of the probability that a thunderstorm could produce a tornado up to an hour ahead of the event. Such technologies could radically alter how risk spaces are represented and understood by those who must decide whether or not to take protective action. In addition, there are relatively few studies that examine mapped representations of uncertainty in weather information or the influence of this uncertainty information in weather hazard decision making. To address these gaps, this study presents research subjects with a variety of representations of uncertainty based on the precepts of cartography and information visualization. We propose and test for the existence of three geospatial framing effects that potentially influence subjective estimates of risk: distance from a hazard, warning boundary inclusion or exclusion, and symbolic color coding of uncertainty information. Using a series of computer-aided geographic experiments with a large sample (N = 5,564) of the U.S. population, we find evidence for the existence of each of the three proposed geospatial framing effects. Two of these framings are controlled by the mapmaker—in this case, the weather forecaster—and thus should be considered during the development stages of new products. We discuss the practical implications of the experimental study for current and future tornado warning practices. Key Words: cartography, risk, tornado, uncertainty, visualization
Business · Cartography · Civil engineering · Data mining · Data science · Geography · Geospatial analysis · Geovisualization · Information visualization · Meteorology · Operations research · Population · Thunderstorm · Tornado · Visualization · Warning system · Computer Science · Data Visualization and Analytics · Engineering · Fire effects on ecosystems · Meteorological Phenomena and Simulations
A user-centred design framework for disaster risk visualisation
Examining the roles of visualizations in people's understanding of uncertain storm surge forecasts, interpretation of risk, and decision-making
Understanding Broadcast Meteorologists’ Current and Future Use of Severe Weather Watches, Warnings, and Probabilistic Hazard Information
The Evolving Weather Service
Communicating Probability Information in Weather Forecasts
Map-Based Ensemble Forecasts for Maritime Operations
The Influence of Demographic and Place Variables on Personalized Tornado Risk Area
Construal of Situational Risk and Outcomes—Exploring the Use of Weather Radar Displays with Residents of the Tampa Bay Region
An Exploratory Content Analysis of Two Local Television Stations’ Tornado Warning Broadcasts
A Spatial Analysis of Decisions Made in Response to Simulated Tornado Warnings in the United States
The Creation of a Research Television Studio to Test Probabilistic Hazard Information with Broadcast Meteorologists in Noaa’s Hazardous Weather Testbed
Contextualizing Disaster Phases Using Social Media Data
Building Classification Using Random Forest to Develop a Geodatabase for Probabilistic Hazard Information
Geographic constraints on rapid comprehension of tornado warning information
Exploring Personalized Tornado Risk with a Sketch Map Activity
The Color of Weather
Psychological Science Can Improve Diagnostic Decisions
Spatial and Temporal Analysis of Tornado Fatalities in the United States
Statistical Analysis of Correlated Data Using Generalized Estimating Equations
Color Psychology
Longitudinal data analysis using generalized linear models
Title unavailable
Tornado Warning Trade-Offs
Social Media and Severe Weather
Geographic Specificity, Tornadoes, and Protective Action
Odds Ratio Forecasts Increase Precautionary Action for Extreme Weather Events
Hazard Warning Systems
The Protective Action Decision Model
“A 30% Chance of Rain Tomorrow”
Pairwise multiple comparison procedures
Evaluating the effect of visually represented geodata uncertainty on decision-making
Tornado folk science in Alabama and Mississippi in the 27 April 2011 tornado outbreak
The political ecology of disaster
Virtual Geographic Environment
Cognitively Inspired and Perceptually Salient Graphic Displays for Efficient Spatial Inference Making
Trends and Issues in the Use of Quantitative Color Schemes in Refereed Journals
Respondent-Driven Sampling II
| Unique citing works | 16 |
|---|---|
| Citations per year | 3,2 |
| Citation span | 2021 - 2026 (6) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 2 |