Sheila Saia's personal website.
blogdown dataRetrieval tibbletime lubridate tidyverse httr jsonlite tidycensus mapview airportr
library(blogdown)
hugo_version()
install_hugo(version = "0.50", use_brew = TRUE, force = TRUE)
Sheila Saia's personal website.
Sheila Saia's personal website.
blogdown dataRetrieval tibbletime lubridate tidyverse httr jsonlite tidycensus mapview airportr
library(blogdown)
hugo_version()
install_hugo(version = "0.50", use_brew = TRUE, force = TRUE)
Talks/Posters
Saia, S. M., Nelson, N. G., and A. Haines. 2021. (oral talk) Developing an Open Source Web App to Forecast Shellfish Harvest Closures in Coastal North Carolina. DSOS/AEMON-J Hacking Limnology Virtual Summit: Incorporating Data Science and Open Science in Aquatic Research (virtual). July 22 - 23, 2021. Schedule: https://aquaticdatasciopensci.github.io/program_2/. Recorded Talks: https://osf.io/682v5/
Nelson, N. G. and S. M. Saia. 2021. (oral talk) ShellCast: A New Closure Forecast Tool. North Carolina Aquaculture Development Conference (virtual). March 19 - 20, 2021.
Saia, S. M., Nelson, N. G., and A. K. Leight. 2021. (poster) Forecasting Temporary Shellfish Harvest Closures in Coastal North Carolina. North Carolina Geographic Information Systems Conference (virtual). February 16 - 19, 2021. Available online: https://carolinaurisa.org/about-curisa/2021-nc-gis-conference-poster-session/#jp-carousel-48515
Saia, S. M., Nelson, N. G., and A. K. Leight. 2020. (poster) Validation of Near-Term Rainfall Forecasts in Data Scarce Coastal North Carolina. American Geophysical Union Fall Meeting (virtual). December 1 - 17, 2020.
Fact Sheets
Saia, S. M., Nelson, N. G., Young, S. G., and S. Hall. 2021. Shellfish Leases and Harvest Closures Along the North Carolina Coast. North Carolina State University Extension Fact Sheet, Raleigh, NC. Available online: https://content.ces.ncsu.edu/shellfish-leases-and-harvest-closures-along-the-north-carolina-coast
Papers
Saia, S. M., Nelson, N. G., Huseth, A. S., Grieger, K., and B. J. Reich. 2020. Transitioning Machine Learning from Theory to Practice in Natural Resources Management. Ecological Modelling. 435:109257.
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