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en:learning:schools:s01:lecture-notes:ba-ln-11 [2015/09/28 09:17]
tnauss [Time for practice]
en:learning:schools:s01:lecture-notes:ba-ln-11 [2017/10/30 10:26] (current)
aziegler
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 ^^^ ^^^
-<​html><​a href="​https://​www.flickr.com/​photos/​bisfogo/​15867268062"​ target="​_blanck"​ title="​fc2002_DEM_and_survey_plots by BIS-Fogo, on Flickr"><​img src="​https://​farm8.staticflickr.com/​7526/​15867268062_6801f86041_n.jpg" width="​320"​ height="​320"​ alt="​fc2002_DEM_and_survey_plots"></​a></​html> ​<​html><​a href="​https://​www.flickr.com/​photos/​bisfogo/​15826347196"​ target="​_blanck"​ title="​fc2002_prich_vs_DEM by BIS-Fogo, on Flickr"><​img src="​https://​farm8.staticflickr.com/​7520/​15826347196_bf961a8fcd_n.jpg" width="​320"​ height="​320"​ alt="​fc2002_prich_vs_DEM"></​a></​html> ​|+{{ :en:​learning:​schools:​s01:​lecture-notes:​15867268062_6801f86041_n.jpg |}} | {{ :en:​learning:​schools:​s01:​lecture-notes:​15826347196_bf961a8fcd_n.jpg ​|}}|
  
 For example, if we extract the height values from a DEM at the locations of our field survey plots and given that there is actually a relationship between height above sea level and plant diversity, we could use the area-wide digital elevation raster data set to predict the plant diversity for each grid of the raster. Of course we could also try to utilize satellite observations which are also area-wide raster data sets. For example, if we extract the height values from a DEM at the locations of our field survey plots and given that there is actually a relationship between height above sea level and plant diversity, we could use the area-wide digital elevation raster data set to predict the plant diversity for each grid of the raster. Of course we could also try to utilize satellite observations which are also area-wide raster data sets.
en/learning/schools/s01/lecture-notes/ba-ln-11.txt ยท Last modified: 2017/10/30 10:26 by aziegler