dc.date.accessioned | 2016-12-27T21:46:50Z | |
dc.date.accessioned | 2018-06-13T23:01:53Z | |
dc.date.available | 2016-12-27T21:46:50Z | |
dc.date.available | 2018-06-13T23:01:53Z | |
dc.date.created | 2016-12-27T21:46:50Z | |
dc.date.issued | 2011 | |
dc.identifier | 978-90-481-2642-2 | |
dc.identifier | 978-90-481-2641-5 | |
dc.identifier | 978-90-481-2643-9 | |
dc.identifier | http://hdl.handle.net/10533/164412 | |
dc.identifier | 1090387 | |
dc.identifier.uri | http://repositorioslatinoamericanos.uchile.cl/handle/2250/1543214 | |
dc.description.abstract | One 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.language | eng | |
dc.publisher | SPRINGER | |
dc.relation | http://www.springer.com/us/book/9789048126415 | |
dc.relation | info:eu-repo/grantAgreement/Fondecyt/1090387 | |
dc.relation | info:eu-repo/semantics/dataset/hdl.handle.net/10533/93479 | |
dc.relation | instname: Conicyt | |
dc.relation | reponame: Repositorio Digital RI2.0 | |
dc.relation | instname: Conicyt | |
dc.relation | reponame: Repositorio Digital RI 2.0 | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.title | HYPSOMETRY | |
dc.type | Capitulo de libro | |