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A Spatio-Temporal Modeling Approach To Forecasting High-Risk Freshwater Cyanobacterial Harmful Algal Blooms In Florida

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US Government

@usgov.u_s_environmental_protection_a_spatio_temporal_modelin_ee1632c0

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U.S. Environmental Protection Agency

Dataset 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).
Organization: U.S. Environmental Protection Agency
Organization URL: https://catalog.data.gov/organization/epa
Last updated: 2020-07-01
Tags: Bayesian, Spatiotemporal, West Nile, arboviral, cyanobacterial bloom, vector-borne disease


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