dc.contributor.author |
Ramirez-Lopez, Leonardo |
de_DE |
dc.date.accessioned |
2013-10-29T16:05:09Z |
|
dc.date.available |
2013-10-29T16:05:09Z |
|
dc.date.issued |
2013 |
de_DE |
dc.identifier.uri |
http://hdl.handle.net/10900/37581 |
|
dc.language.iso |
en |
de_DE |
dc.relation.uri |
http://nbn-resolving.de/urn:nbn:de:bsz:21-opus-67123 |
de_DE |
dc.rights |
info:eu-repo/semantics/closedAccess |
|
dc.subject.classification |
Bodenkartierung |
de_DE |
dc.subject.classification |
Digitale Karte |
de_DE |
dc.subject.classification |
Geophysik |
de_DE |
dc.subject.classification |
Geoinformatik |
de_DE |
dc.subject.classification |
Stichprobe |
de_DE |
dc.subject.classification |
Prognose |
de_DE |
dc.title |
Sampling design and machine learning optimization for the application of soil sensing data in digital soil mapping |
de_DE |
dc.type |
PhDThesis |
de_DE |
utue.artikel.swb |
378801899 |
de_DE |
utue.artikel.swb |
378801759 |
de_DE |
utue.kommentar.intern |
Tübingen, Univ., Diss., 2013. |
de_DE |
utue.personen.pnd |
Ramirez-Lopez, Leonardo/378801732 |
de_DE |
utue.personen.roh |
Ramirez-Lopez, Leonardo |
de_DE |
utue.publikation.seitengesamt |
170 S. : graph. Darst., Kt. |
de_DE |
utue.titel.verfasserangabe |
vorgelegt von Leonardo Ramirez-Lopez |
de_DE |
utue.publikation.abrufzeichen |
tdis |
de_DE |
utue.publikation.swbdatum |
1302 |
de_DE |
utue.publikation.fachbereich |
49 |
de_DE |
utue.publikation.fakultaet |
7 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |