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Subject: Marine Geospatial Ecology Tools (MGET) help

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From: "Jason Roberts" <>
To: "'Sergio Marchant'" <>
Cc: <>
Subject: RE: [mget-help] How to create Hovmoller plots and other figures
Date: Thu, 1 Jul 2010 15:37:39 -0400

Hi Sergio,

 

Thanks for contacting us about this. Unfortunately I don’t know of an easy way to produce these kinds of plots using ArcGIS. When I’ve done similar plots in the past I’ve used R or MATLAB. I don’t have any example code handy but you could probably find some just by looking around. If you prefer to use Python, I suggest reading the data using GDAL’s Python bindings (or an internal function in MGET that wraps them), performing any needed statistical summarization using standard numpy array manipulation, and then using the matplotlib package to create the plots. I’m sorry I can’t be more help than that.

 

We do have a long term interest in being able to produce these kinds of plots with MGET. We are currently rewriting MGET’s raster processing modules to be aware of 3D and 4D data. Once that is done, we will build basic tools that allow conversion, sampling, and building of climatologies for 3D and 4D data. Having tools to produce Hovmoller plots would also be useful. I will add that to our “to do” list.

 

Best regards,

 

Jason

 

From: Sergio Marchant [mailto:]
Sent: Thursday, July 01, 2010 11:28 AM
To:
Subject: [mget-help] How to create Hovmoller plots and other figures

 

Dear Dr. Roberts, 

 

I am a Biological Science graduate student, and I am new using ArcGIS and the Marine Geospatial Ecology tools, however I am progressing quickly thanks to the excellent supporting documentation and examples. I would like to know if it is possible to create a shaded Hovmoller plot that describes monthly average values in the x axis (time) and other parameters (i.e Sea Heigh, Winds, currents, Chlorophyl, Sea surface temperature) in the Y axis . I already download monthly average data that I need in hdf and ncdf from several satellites and I thanks to MGET I can import the data in ArcGIS, however I am having trouble in figure out how to display all this information (temporal trends) in a scientific summarized way. Here are some examples of figures that I would like to include in my research.

 

 

Thanks in advance. 

Sergio Marchant

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