dc.date.accessioned2016-12-27T21:46:50Z
dc.date.accessioned2018-06-13T23:01:53Z
dc.date.available2016-12-27T21:46:50Z
dc.date.available2018-06-13T23:01:53Z
dc.date.created2016-12-27T21:46:50Z
dc.date.issued2011
dc.identifier978-90-481-2642-2
dc.identifier978-90-481-2641-5
dc.identifier978-90-481-2643-9
dc.identifierhttp://hdl.handle.net/10533/164412
dc.identifier1090387
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1543214
dc.description.abstractOne approach to analyzing hypsometry is to produce a histogram of the frequency of different elevation bins. This simple approach requires a compromise between having bins that are too large such that insufficient detail can be extracted, and too small such that an underlying signal is obscured by noise. Alternatively, a graph of cumulative area (0–100%) with altitude can be plotted to show the relative proportion of a region at a specific elevation, known as the hypsometric curve. The elevations may be normalized relative to the range of elevations in the study area (value-minimum)/(maximum-minimum), and the area under this normalized curve is the hypsometric integral, which by definition lies between 0 and 1. ...
dc.languageeng
dc.publisherSPRINGER
dc.relationhttp://www.springer.com/us/book/9789048126415
dc.relationinfo:eu-repo/grantAgreement/Fondecyt/1090387
dc.relationinfo:eu-repo/semantics/dataset/hdl.handle.net/10533/93479
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI2.0
dc.relationinstname: Conicyt
dc.relationreponame: Repositorio Digital RI 2.0
dc.rightsinfo:eu-repo/semantics/openAccess
dc.titleHYPSOMETRY
dc.typeCapitulo de libro


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