Matlab Version of xtractomatic package
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README.md

xtractoMatlab

Matlab Version of xtractomatic package (revised 8 July 2016)

xtractoMatlab contains Matlab functions developed to subset and extract satellite and other oceanographic related data from a remote server. The program can extract data for a moving point in time along a user-supplied set of longitude, latitude and time points; in a 3D bounding box; or within a polygon (through time). The xtractoMatlab functions were originally developed for the marine biology tagging community, to match up environmental data available from satellites (sea-surface temperature, sea-surface chlorophyll, sea-surface height, sea-surface salinity, vector winds) to track data from various tagged animals or shiptracks (xtracto). The package has since been extended to include the routines that extract data a 3D bounding box (xtracto_3D) or within a polygon (xtractogon). The xtractoMatlab package accesses data that are served through the ERDDAP (Environmental Research Division Data Access Program) server at the NOAA/SWFSC Environmental Research Division in Santa Cruz, California. The ERDDAP server can also be directly accessed at http://coastwatch.pfeg.noaa.gov/erddap. ERDDAP is a simple to use yet powerful web data service developed by Bob Simons.

To download either clone using Git, or just click on the button to download a zip of the files. Requires a version of Matlab that supports webread, websave and weboptions. The file vignette.m contains code that executes all of the examples in the R xtractomatic package ( https://github.com/rmendels/xtractomatic). A pdf version of the R vignette can be downloaded from http://coastwatch.pfeg.noaa.gov/xtracto or email me at roy.mendelssohn@noaa.gov

This is considered alpha quality at the moment. It can run the examples in the vignette.m file but otherwise has not been extensively tested.

Revision notes 8 July 2016

  • Fixed a problem with webread starting with R2016a that broke all the routines
  • Added a few datasets
  • Added what I hope is a public domain version of mad, so tha the Stat toolbox is not required.

Required legalese

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