Geographical issues in predictive vegetation modelling : error and uncertainty in GIS data, methods and models
| dc.contributor.author | Van Niel, Kimberly | |
| dc.date.accessioned | 2018-11-22T00:04:41Z | |
| dc.date.available | 2018-11-22T00:04:41Z | |
| dc.date.copyright | 2003 | |
| dc.date.issued | 2003 | |
| dc.date.updated | 2018-11-20T03:44:14Z | |
| dc.format.extent | xviii, 271, [208] leaves | |
| dc.identifier.other | b2194112 | |
| dc.identifier.uri | http://hdl.handle.net/1885/150013 | |
| dc.language.iso | en_AU | en_AU |
| dc.rights | Author retains copyright | en_AU |
| dc.subject.lcc | QK910.V36 2003 | |
| dc.subject.lcsh | Vegetation dynamics Mathematical models | |
| dc.subject.lcsh | Geographic information systems | |
| dc.subject.lcsh | Error analysis (Mathematics) | |
| dc.subject.lcsh | Uncertainty (Information theory) | |
| dc.title | Geographical issues in predictive vegetation modelling : error and uncertainty in GIS data, methods and models | |
| dc.type | Thesis (PhD) | en_AU |
| dcterms.accessRights | Open Access | en_AU |
| local.description.notes | Thesis (Ph.D.)--Australian National University, 2003 | en_AU |
| local.identifier.doi | 10.25911/5d6120e41fa95 | |
| local.mintdoi | mint | |
| local.type.status | Accepted Version | en_AU |
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