burn_viz: Visualizing Wildfire Across Time & Space
Description
burn_viz is a web application that allows users to visualize relationships between wildfire occurrence, the location of human populations, and different landcover types. Understanding these relationships is crucial for risk assessment and policymaking, but it can be challenging to navigate data from disparate sources that may be provided in different formats and spatial resolutions. Integrating these elements into a interactive visualization creates an opportunity to explore how wildfire, population, and landcover interact over space and time.
The web application is accessible at https://reedhum.shinyapps.io/burn_viz/ or can be deployed locally using the R code and data files published here.
Files
burn_viz.zip
Files
(67.3 MB)
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Additional details
Funding
- U.S. National Science Foundation
- Collaborative Research: GCR: Managing Future Risk of Increasing Simultaneous Megafires 2019762
References
- Giglio, L., Justice, C., Boschetti, L., Roy, D. 2021. MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V061 [Data set]. NASA EOSDIS Land Processes Distributed Active Archive Center. Accessed 2024-05-29 from https://doi.org/10.5067/MODIS/MCD64A1.061
- Bondarenko M., Kerr D., Sorichetta A., and Tatem, A.J. 2020. Census/projection-disaggregated gridded population datasets for 189 countries in 2020 using Built-Settlement Growth Model (BSGM) outputs. WorldPop, University of Southampton, UK. doi:10.5258/SOTON/WP00684
- Commission for Environmental Cooperation (CEC). 2020. 2020 Land Cover of North America at 30 Meters. North American Land Change Monitoring System. Canada Centre for Remote Sensing (CCRS), U.S. Geological Survey (USGS), Comisión Nacional para el Conocimiento y Uso de la Biodiversidad (CONABIO), Comisión Nacional Forestal (CONAFOR), Instituto Nacional de Estadística y Geografía (INEGI). Ed. 1.0, Raster digital data [30-m].