Uploaded March 2025 | Updated September 2026, 1 week ago
#ShinyConf #ShinyConf2024
Abstract: Prescribed fires are one of the most effective tools for reducing hazardous fuels (vegetation) from the buildup of biomass that is conducive to severe wildfires in the western United States. In the coming years, California is expected to significantly increase fuels treatment activities, including the use of prescribed fires, to address wildfire risk. Any biomass burning emits harmful air pollutants that can adversely impact public health; however, prescribed fires are conducted in a controlled manner to minimize smoke impacts on downwind air quality. Land and air quality managers currently lack easily accessible tools to help plan for future prescribed fires and the subsequent downwind smoke impacts. To address this need, we developed a highly interactive Shiny dashboard to assist land and air quality managers in long-term smoke management planning. The dashboard gives users the ability to quickly model and visualize the probability of downwind smoke impacts from a user-selected location based on 20 years (2001-2020) of gridded historical weather data. The dashboard also summarizes relevant climatology statistics at the user-selected location and provides information on the communities at risk of smoke impacts. We used Amazon’s S3 cloud storage to house historical weather data, which are read in and processed based on user inputs. The Shiny dashboard presents the smoke impact results in spatial and tabular formats. This talk will focus on the challenges encountered in the development of the dashboard and the solutions employed, data processing, the dashboard interface and functionality, and an example test case.
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Join us this year! Sign up for ShinyConf 2025 here: go.appsilon.com/register-shinyconf2025
#ShinyConf #ShinyConf2024
Abstract: Prescribed fires are one of the most effective tools for reducing hazardous fuels (vegetation) from the buildup of biomass that is conducive to severe wildfires in the western United States. In the coming years, California is expected to significantly increase fuels treatment activities, including the use of prescribed fires, to address wildfire risk. Any biomass burning emits harmful air pollutants that can adversely impact public health; however, prescribed fires are conducted in a controlled manner to minimize smoke impacts on downwind air quality. Land and air quality managers currently lack easily accessible tools to help plan for future prescribed fires and the subsequent downwind smoke impacts. To address this need, we developed a highly interactive Shiny dashboard to assist land and air quality managers in long-term smoke management planning. The dashboard gives users the ability to quickly model and visualize the probability of downwind smoke impacts from a user-selected location based on 20 years (2001-2020) of gridded historical weather data. The dashboard also summarizes relevant climatology statistics at the user-selected location and provides information on the communities at risk of smoke impacts. We used Amazon’s S3 cloud storage to house historical weather data, which are read in and processed based on user inputs. The Shiny dashboard presents the smoke impact results in spatial and tabular formats. This talk will focus on the challenges encountered in the development of the dashboard and the solutions employed, data processing, the dashboard interface and functionality, and an example test case.
____________________________
Join us this year! Sign up for ShinyConf 2025 here: go.appsilon.com/register-shinyconf2025
