[1] "Rosenstiel" "Perdue"

This code produces a scatter plot that visualizes the ozone concentration levels recorded at two air quality monitoring stations in Florida during the period surrounding Hurricane Irma (August 30 to September 21, 2018).

By comparing data from both a coastal station (Rosenstiel) and an urban station (Perdue), the plot helps illustrate potential differences in air quality impacts due to the hurricane. Here’s a breakdown of the key elements of the plot and what insights it provides:

Coastal Station (Rosenstiel): Located near the coast, where weather and environmental factors influenced by the proximity to water could affect air quality differently compared to urban areas.

Urban Station (Perdue): Located in a city, where urban emissions and air quality factors might interact differently with hurricane conditions. By plotting these two stations on the same map, the plot provides a direct comparison between coastal and urban ozone levels, allowing for analysis of how geographic location impacts ozone concentration, particularly in the context of a major weather event like a hurricane.

1. Heat Maps

  • Explanation:

  • The data set I am working is from the 2018 data set from Hurricane Irma data set. With these visualizations I am trying to explain and demonstrate the ozone levels of the two Heat Maps. The two heat maps—time-based heat map and geographic heat map—differ in purpose, structure, and the type of data they visualize.

  • What do I want to interpret?

I want to interpret both the differences but as well the importance of the two Heat Maps. Both, the Time-Based Heat Map and the Geographic Heat Map help preparing a broad and expanded visualization of this data set and expresses the information in a very clear way.

1. Time-Based Heat Map: Helps in understanding temporal trends—such as daily or weekly ozone changes—which can highlight seasonal effects or events.

2.Geographic Heat Map: Highlights spatial patterns, showing which regions have higher or lower levels of ozone, useful for geographic analysis or targeting specific areas for environmental or public health interventions.

#Summary

This Quarto document creates a dashboard with two pages. The first page includes one visualization: a map of ozone levels in Florida at coastal and urban sites and the second page includes a heatmap and a Geographic Heatmap. The document concludes with references summarizing the analysis around Hurricane Irma’s air quality impacts.

1. A Map of Florida displaying ozone levels at a coastal site (Rosenstiel) and an urban site (Perdue) before, during, and after the hurricane. The map uses a color gradient to show variations in ozone concentration by location.

2.A Heatmap showing daily maximum 8-hour ozone levels across weeks in 2018. Organized by month, this visualization highlights seasonal patterns and possible anomalies around the hurricane period.

3. A Geograohic Heat Map at different locations recorded in 2018. Using grouped latitude and longitude coordinates, it visualizes the average daily maximum 8-hour ozone concentration at each site. The color gradient, ranging from light blue (lower ozone levels) to dark green (higher ozone levels), provides an intuitive view of how ozone concentrations vary across geographic locations.