Differences between revisions 8 and 13 (spanning 5 versions)
Revision 8 as of 2009-11-23 12:19:35
Size: 2272
Editor: anonymous
Comment:
Revision 13 as of 2009-11-23 12:48:49
Size: 2999
Editor: anonymous
Comment:
Deletions are marked like this. Additions are marked like this.
Line 40: Line 40:

{{attachment:map.png}}

[[http://gmt.soest.hawaii.edu/|GMT]] is an open source collection of ~60 tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing
publication quality scientific plots.

In particular useful are the [[http://gmt.soest.hawaii.edu/gmt/examples/ex14/gmt_example_14.html|gridding routines]] which can be used for irregular sampled oceanographic as well as for satellite data.

GMT can be easily applied together with Python using the [[http://docs.python.org/library/os.html|os module]].

{{{#!python
import os
os.system('pscoast -R4/12/52/57 -JM6i -P -B1g1 -Ggray -Df > map.ps')
os.system('gv map.ps')
}}}

Visualisation

Basemap

The matplotlib basemap toolkit is a library for plotting 2D data on maps in Python.

Map1.png

   1 from pylab import *
   2 from mpl_toolkits.basemap import Basemap
   3 
   4 m = Basemap(projection='ortho',lon_0=10.0,lat_0=45.0,resolution='l')
   5 m.bluemarble()
   6 
   7 lon,lat=10.0,53.5 # Hamburg
   8 
   9 x,y=m(lon,lat)
  10 m.plot(x,y,'r.')
  11     
  12 show()
  13 savefig('Map1.png',dpi=75)

Set the correct path for using Basemap

module load R/2.7.0
module load Python/2.6.2

GMT

map.png

GMT is an open source collection of ~60 tools for manipulating geographic and Cartesian data sets (including filtering, trend fitting, gridding, projecting, etc.) and producing publication quality scientific plots.

In particular useful are the gridding routines which can be used for irregular sampled oceanographic as well as for satellite data.

GMT can be easily applied together with Python using the os module.

   1 import os
   2 os.system('pscoast -R4/12/52/57 -JM6i -P -B1g1 -Ggray -Df > map.ps')
   3 os.system('gv map.ps')

Google Earth

600px-Google_earth_chlorophyll.png

Documentation:

http://code.google.com/apis/kml/documentation/

Chlorophyll data:

http://oceancolor.gsfc.nasa.gov/cgi/climatologies.pl

Download png and make black transparent

convert -transparent black A20020012007273.L3m_CU_CHLO_4.png A20020012007273.L3m_CU_CHLO_4_trans.png

Create .kml file

<?xml version="1.0"?>
<kml xmlns="http://earth.google.com/kml/2.1"><Document><name>Chlorophyll Climatology</name>
  <Folder>
<Snippet maxLines="0"/>
<name>MODIS</name>
<ScreenOverlay>
  <name>UHH Logo</name>
  <color>ffffffff</color>
  <visibility>1</visibility>
  <Icon>
    <href>http://www.ifm.uni-hamburg.de/logo_uhh_neu.gif</href>
  </Icon>
      <overlayXY x="0" y="1" xunits="fraction" yunits="fraction"/>
      <screenXY x="5" y="5" xunits="pixels" yunits="insetPixels"/>
      <size x="90" y="90" xunits="pixel" yunits="pixel"/>
</ScreenOverlay>
<LookAt>
        <longitude>8</longitude>
        <latitude>53</latitude>
         <altitude>2000000</altitude>       
  <heading>0</heading>          
</LookAt>
<Folder> <Snippet maxLines="0"/>
<name>Chlorophyll</name><GroundOverlay> <name>2002-2007</name>
<visibility>1</visibility><color>ffffffff</color>
<Icon><href>A20020012007273.L3m_CU_CHLO_4_trans.png</href></Icon>
<LatLonBox><north>90</north><south>-90</south><east>180</east><west>-180</west></LatLonBox>
</GroundOverlay></Folder></Folder></Document></kml>

LehreWiki: OpenSource2010/Lesson6 (last edited 2010-11-22 12:55:36 by anonymous)