Visualisation

Basemap

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

   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

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')
   4 }}
   5 
   6 
   7 
   8 == Google Earth ==
   9 
  10 {{attachment:600px-Google_earth_chlorophyll.png}}
  11 
  12 Documentation:
  13 
  14 http://code.google.com/apis/kml/documentation/
  15 
  16 Chlorophyll data:
  17 
  18 http://oceancolor.gsfc.nasa.gov/cgi/climatologies.pl
  19 
  20 Download png and make black transparent
  21 
  22 {{{
  23 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)

-  ⇤ ← Revision 1 as of 2009-11-23 11:59:20 → 
  Size: 494
  Editor: anonymous
  Comment:
+   ← Revision 12 as of 2009-11-23 12:48:31 → ⇥
  Size: 2998
  Editor: anonymous
  Comment:
-Deletions are marked like this.
+Additions are marked like this.
 Line 13:
+The [[http://matplotlib.sourceforge.net/basemap/doc/html/| matplotlib basemap toolkit]] is a library for plotting 2D data on maps in Python.
-Line 14:
+Line 15:
-{{{!#python
+{{attachment:Map1.png}}

{{{#!python
-Line 29:
+Line 32:
+Set the correct path for using Basemap
{{{
module load R/2.7.0
module load Python/2.6.2
}}}

== GMT ==

{{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')
}}



== Google Earth ==

{{attachment: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>
}}}