climatology: Summarize several periods of satellite data

In r-forge/satin: Functions for downloading, reading and displaying satellite data for oceanographic applications with R

Description

Calculate coverage, mean, standard deviation, minimum and maximum by pixel for a set of satellite images

Usage

climatology(satin.obj)

Arguments

satin.obj

a satin object with several images as returned by read.oceancolor or getGridData

Value

An object of class “satin” (a list) with components:

longitude	a vector of longitudes
latitude	a vector of latitudes
rs.data	an array with coverage, sum, mean, standard deviation, minimum and maximum for every latitude longitude of extracted SST or Chl-a values
rs.name	full name of remote sensed variable
rs.units	variable measurement units
period	a character vector indicating "coverage", "mean", "std. dev.", ..., and dates for summarized periods
itype	a string indicating the type of product

Author(s)

Héctor Villalobos

See Also

scaleSatin

Examples

## Not run: 
 fl <- list.files() # Directory with 5 hdf files of sst data
 Msst <- read.oceancolor(fl, lats=c(20, 30), lons=c(-120, -110) )
 cMsst <- climatology(Msst)
 plotSatin(cMsst)
 plotSatin(cMsst, file=2) 
## End(Not run)

r-forge/satin documentation built on Feb. 18, 2022, 2:39 a.m.