A Spatio-Temporal Modeling Approach to Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida
Description
Data support the publication "Spatio-Temporal Modeling For Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida".
This dataset is associated with the following publication:
Myer, M., E. Urquhart, B. Schaeffer, and J. Johnston. Spatio-Temporal Modeling for Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms in Florida. Frontiers in Environmental Science. Frontiers, Lausanne, SWITZERLAND, 8: 581091, (2020).
Resources
| Name |
Format |
Description |
Link |
|
53 |
Supplemental4_LakeData.csv |
https://pasteur.epa.gov/uploads/10.23719/1518919/Supplemental4_LakeData.csv |
|
53 |
Supplemental2_LakePixels.xlsx |
https://pasteur.epa.gov/uploads/10.23719/1518919/Supplemental2_LakePixels.xlsx |
|
57 |
FL_POLYshapefiles.zip |
https://pasteur.epa.gov/uploads/10.23719/1518919/FL_POLYshapefiles.zip |
Tags
- bayesian
- vector-borne-disease
- spatiotemporal
- west-nile
- arboviral
- cyanobacterial-bloom