Skip navigation
Skip navigation
A change is coming. Click to see a sneak peek of the new Open Research Repository.

Evaluating techniques for soil erosion modelling: a role for artificial intelligence?

Download (272.17 MB)

link to publisher version

  • Altmetric Citations

Ellis, Fiona G

dc.contributor.authorEllis, Fiona G
dc.date.accessioned2018-08-01T02:57:56Z
dc.date.available2018-08-01T02:57:56Z
dc.date.copyright1997
dc.identifier.otherb2004301
dc.identifier.urihttp://hdl.handle.net/1885/145903
dc.format.extentxx, 344 leaves
dc.language.isoen_AU
dc.subject.lcshSoil erosion Data processing
dc.subject.lcshGeographic information systems
dc.subject.lcshGeological mapping Data processing
dc.subject.lcshArtificial intelligence
dc.titleEvaluating techniques for soil erosion modelling: a role for artificial intelligence?
dc.typeThesis (PhD)
dcterms.valid1997
local.description.notesThesis (Ph.D.)--Australian National University, 1997
local.type.degreeDoctor of Philosophy (PhD)
dc.date.issued1997
local.identifier.doi10.25911/5d66639e2b6ac
dc.date.updated2018-07-26T02:03:43Z
local.mintdoimint
CollectionsOpen Access Theses

Download

File Description SizeFormat Image
b20043016-Ellis_F.pdf272.17 MBAdobe PDFThumbnail
Show simple item record


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator