r.quantile.html 1.1 KB

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  1. <h2>DESCRIPTION</h2>
  2. <em>r.quantile</em> computes quantiles in a manner suitable
  3. for use with large amounts of data. It is using two passes.
  4. <h2>EXAMPLE</h2>
  5. Calculation of elevation quantiles (printed to standard-out):
  6. <div class="code"><pre>
  7. g.region raster=elevation -p
  8. r.quantile input=elevation percentiles=0.1,1,10,25,50,75,90,99,99.9
  9. </pre></div>
  10. The output of <em>r.quantile</em> can be used for quantile classification:
  11. <div class="code"><pre>
  12. g.region raster=elevation -p
  13. r.quantile elevation quantiles=5 -r --quiet | r.recode elevation \
  14. out=elev_quant5 rules=-
  15. </pre></div>
  16. <h2>SEE ALSO</h2>
  17. <em>
  18. <a href="r.mode.html">r.mode</a>,
  19. <a href="r.quant.html">r.quant</a>,
  20. <a href="r.recode.html">r.recode</a>,
  21. <a href="r.series.html">r.series</a>,
  22. <a href="r.stats.html">r.stats</a>,
  23. <a href="r.stats.quantile.html">r.stats.quantile</a>,
  24. <a href="r.stats.zonal.html">r.stats.zonal</a>,
  25. <a href="r.statistics.html">r.statistics</a>,
  26. <a href="r.univar.html">r.univar</a>,
  27. <a href="v.rast.stats.html">v.rast.stats</a>
  28. </em>
  29. <h2>AUTHOR</h2>
  30. Glynn Clements
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