dc.contributor.author |
Taghizadeh-Mehrjardi, Ruhollah |
|
dc.date.accessioned |
2024-10-08T08:52:37Z |
|
dc.date.available |
2024-10-08T08:52:37Z |
|
dc.date.issued |
2023 |
|
dc.identifier.issn |
1574-9541 |
|
dc.identifier.uri |
http://hdl.handle.net/10900/157923 |
|
dc.language.iso |
en |
de_DE |
dc.publisher |
Amsterdam : Elsevier |
de_DE |
dc.relation.uri |
http://dx.doi.org/10.1016/j.ecoinf.2023.102294 |
de_DE |
dc.subject.ddc |
570 |
de_DE |
dc.title |
Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents |
de_DE |
dc.type |
Article |
de_DE |
utue.quellen.id |
20240730000000_00312 |
|
utue.personen.roh |
Bouasria, Abdelkrim |
|
utue.personen.roh |
Bouslihim, Yassine |
|
utue.personen.roh |
Gupta, Surya |
|
utue.personen.roh |
Taghizadeh-Mehrjardi, Ruhollah |
|
utue.personen.roh |
Hengl, Tomislav |
|
dcterms.isPartOf.ZSTitelID |
Ecological Informatics |
de_DE |
dcterms.isPartOf.ZS-Issue |
Article 102294 |
de_DE |
dcterms.isPartOf.ZS-Volume |
78 |
de_DE |
utue.fakultaet |
07 Mathematisch-Naturwissenschaftliche Fakultät |
de_DE |