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satin  

Visualisation and Analysis of Ocean Data Derived from Satellites
View on CRAN: Click here


Download and install satin package within the R console
Install from CRAN:
install.packages("satin")

Install from Github:
library("remotes")
install_github("cran/satin")

Install by package version:
library("remotes")
install_version("satin", "1.1.0")



Attach the package and use:
library("satin")
Maintained by
Héctor Villalobos
[Scholar Profile | Author Map]
First Published: 2010-10-14
Latest Update: 2022-09-22
Description:
With 'satin' functions, visualisation, data extraction and further analysis like producing climatologies from several images, and anomalies of satellite derived ocean data can be easily done. Reading functions can import a user defined geographical extent of data stored in netCDF files. Currently supported ocean data sources include NASA's Oceancolor web page , sensors VIIRS-SNPP; MODIS-Terra; MODIS-Aqua; and SeaWiFS. Available variables from this source includes chlorophyll concentration, sea surface temperature (SST), and several others. Data sources specific for SST that can be imported too includes Pathfinder AVHRR and GHRSST . In addition, ocean productivity data produced by Oregon State University can also be handled previous conversion from HDF4 to HDF5 format. Many other ocean variables can be processed by importing netCDF data files from two European Union's Copernicus Marine Service databases , namely Global Ocean Physical Reanalysis and Global Ocean Biogeochemistry Hindcast.
How to cite:
Héctor Villalobos (2010). satin: Visualisation and Analysis of Ocean Data Derived from Satellites. R package version 1.1.0, https://cran.r-project.org/web/packages/satin. Accessed 01 May. 2025.
Previous versions and publish date:
0.2 (2010-10-14 10:39), 1.0 (2020-10-07 14:00)
Other packages that cited satin R package
View satin citation profile
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Complete documentation for satin
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