IS428 AY2019-20T1 Assign Wendy Ng Sock Ling Dashboard Design

VAST Challenge 2019 MC1: Crowdsourcing for Situational Awareness

Overview

Data Transformation

Dashboard Design

Tasks

Dashboard link: https://public.tableau.com/profile/wendy2794#!/vizhome/Assignment-Mini-Challenge1/VASTChallenge2019MC1CrowdsourcingforSituationalAwareness?publish=yes

Description	Visualization
1. Background and Navigation The first page shows the background and the tasks. In order to navigate to different dashboards for analysis, there are boxes at the top which are used to navigate to each dashboard for analysis.
2. Which neighbourhoods should be prioritised? The objective of this dashboard is to identify which neighborhoods should the emergency responders prioritise given their limited resources. At each timestamp where damage reports are received, the number of reports is indicated by the size of the circles on the map (on the left). By hovering over the circle, the absolute number of reports can be seen. The bar chart in the middle shows the average extent of damage of all reports at the time selected for each location respectively. By selecting the location at any of the visuals, the location selected will be highlighted while all other locations are at the background to allow comparison. By hovering over circles that are not highlighted, the location can be viewed so as to enable responders to know which location is more damaged for the respective facility/infrastructure. For instance, in this picture the date and time "6/4/2020 12:00:00 AM" and location "2" are selected. As seen in the breakdown, although location 2 has the second lowest average damage based on the bar chart, it has the highest damage on power. Hence, the responders might consider sending St. Himark's power department to location 2.
3. Location with hardest hit The objective of this dashboard is to identify which location has the hardest hit by the earthquake. By selecting the "Day of Time", it allows users to analyse impact by day or the total impact of all the days. Based on the bar chart on the left, locations are sorted in descending order of the average damage of the locations based on all the damage reports. For this dashboard, the shake intensity measure is excluded as it does not indicate the damage caused to the cities. By clicking on an individual location, users can see the treemap with each box as the timestamp, the number of records as the size and the colour as the intensity of the damage. The colour changes from blue to red as the damage increases. The user can also see the breakdown of the damage by the facility/ infrastructure. This enables user to make a decision on whether the damage has more consequences for the location or it might just be a small damage. For instance, the location 7 is selected in the picture. Although 7 has the highest average damage based on the reports, the root cause is the damage to the power. Other locations could have damage to buildings or roads which have worse consequences as it might costs losses of lives as compared to damages on power.
4. Comparison of damage reports and earthquake shake map The objective of this dashboard is to analyse the reliability of the damage reports with the results from the earthquake shake map assuming that the earthquake shake is accurate. As there are only 2 earthquake shake map provided which are on 6 April 2020 and 8 April 2020, only damage reports for these dates are used in this analysis. Firstly, user will have to select a date at "Day of April 2020". The damage on each location from the damage reports is shown on the left while the earthquake shake map is shown on the right. The extent of damage is coloured and changes from blue to red as the damage increases. This only applies for the visuals under "Extent of damage on map" and "Extent of damage by objects" and does not apply for "Earthquake Shake Map". Secondly, by clicking on the location, users will be able to see if that location appears in the area that is hit by the earthquake as shown on the earthquake shake map. Moreover, the breakdown of the damage can be seen below with information such as the number of report and the average damage/shake intensity. Lastly, with this dashboard, users will then be able to compare the damage reports by citizens and the earthquake shake map to see if the damage reports by citizens are reliable.
5. Reports by location over time The objective of this dashboard is to analyse the uncertainty of the damage reports by the locations. With the reports received for each location and at each time stamp, analysis can be done on all the reports for the respective timestamp and location to see if it results in uncertainty of the data. The user should first select a location on the right to analyse. The line graph will then show the number of reports received each day. Each dot in the visual below represents a report on damage/shake intensity. If the dots are clustered together, it shows that the citizens are reporting the same extent of damage/ shake intensity for the location and at that time. However, if the dots are vertically spread out, it shows that the citizens are reporting different extent of damage/ shake intensity. This results in uncertainty of the data as users will not know if the damage is serious or not.