Liana Quinones

Flood Risks in Texas

This app illustrates the varying levels of flood risk for Houston, Texas residents (from 2015-2017) and the ability of urban residents to utilize a Hurricane Evacuation Route. Methods used to analyze risk include car ownership, proximity to 100-Year Flood Area, and proximity to Hurricane Evacuation Routes. The layer data used was provided by Esri, Federal User Community, and Learn ArcGIS.

Visualizing Earthquakes in Nepal

This web app was created in ArcGIS online in order to visually analyze the threat of high magnitude earthquakes on populous districts of Nepal. The green markers indicate earthquake epicenters of high magnitude (5.0 – 7.5) within 2015 and the red gradient signifies population density, displayed by district.

By visually representing the data, one is able to see that Kaski is the most densely populated district that has experienced a high magnitude earthquake. It should also be noted that Kaski extends partly into northern Nepal, in close proximity to the mountains, making emergency rescue a tougher challenge.

Mapping Shark Attacks in the US

In this exercise,  data visualization techniques were applied to map shark attacks in the US. The data being utilized originates from the Global Shark Attack File from which it was imported into Excel to be reorganized and then into Google Sheets in order to create a Geo type chart to visualize the data.

This interactive map from Google Sheets illustrates the occurrences of shark attacks in the US from 2000 through 2019. Pink shading represents fewer shark attack occurrences and red represents greater shark attack occurrences.

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