| Field | Value |
|---|---|
Title |
Nandewar WRA final vegetation layer - VIS_ID 12 & VIS ID 3881 |
Alternative title(s) |
Nandewar_ext_VIS_12; Nandewar_p1750_VIS_3881 |
Abstract |
This project constitutes the Vegetation Mapping and Survey component of the Nandewar WRA Biodiversity Surrogates Project. The Nandewar WRA follows that previously undertaken for the Brigalow Belt South Bioregion. The Nandewar WRA area encompasses parts of the Nandewar and New England Tablelands bioregions (within NSW only) which had not been previously assessed in either the Comprehensive Regional Assessments or the Brigalow Belt South WRA.; ; The final vegetation layer is a composite of 108 individual; modelled probability surfaces, each representing a derived; vegetation community. VIS_ID 12. VIS_ID 3881.; ; ANZLIC: ANZNS0208000226 |
Resource locator |
|
Data Quality Statement |
Name: Data Quality Statement Protocol: WWW:DOWNLOAD-1.0-http--download Description: Data quality statement for Nandewar WRA final vegetation layer - VIS_ID 12 & VIS ID 3881 Function: download |
Vegetation VIS Nandewar WRA 12 3881 |
Name: Vegetation VIS Nandewar WRA 12 3881 Protocol: WWW:DOWNLOAD-1.0-http--download Function: download |
Unique resource identifier |
|
Code |
71246e93-5f10-40b1-aaa2-8c2e75efa33a |
Presentation form |
Map digital |
Edition |
unknown |
Dataset language |
English |
Metadata standard |
|
Name |
ISO 19115 |
Edition |
2016 |
Dataset URI |
https://datasets.seed.nsw.gov.au/dataset/71246e93-5f10-40b1-aaa2-8c2e75efa33a |
Purpose |
Vegetation Mapping |
Status |
Completed |
Spatial representation type |
grid |
Spatial reference system |
|
Code identifying the spatial reference system |
4283 |
Spatial resolution |
10 m |
Additional information source |
Nandewar_ext_VIS_12 - veg extant; Nandewar_p1750_VIS_3881 - predicted pre-clearing data; ; Department of Environment and Conservation 2004, Nandewar Biodiversity Surrogates: Vegetation. Report for the Resource; and Conservation Assessment Council (RACAC), NSW Western Regional Assessments, coordinated by NSW Department of; Infrastructure, Planning and Natural Resources, Project no. NAND06. Department of Environment and Conservation, Coffs; Harbour.; ; Attributes:; Value; Count; Map unit number = number of map unit; Map unit description = name of map unit; Predicted Area = number of hectares occupied by the map; unit outside the extent of native vegetation (ie. on cleared; land); Extant Area = number of hectares occupied by the map; unit within the extent of existing vegetation; Total Area = number of hectares occupied by the map unit; overall (= Predicted Area + Extant Area); Status - conservation status of map unit; Note : map unit = vegetation community in the above; descriptions |
| Field | Value |
|---|---|
Topic category |
| Field | Value |
|---|---|
Keyword set |
|
keyword value |
VEGETATION FLORA |
Originating controlled vocabulary |
|
Title |
ANZLIC Search Words |
Reference date |
2008-05-16 |
Geographic location |
|
West bounding longitude |
149.883215 |
East bounding longitude |
151.837922 |
North bounding latitude |
-31.897971 |
South bounding latitude |
-28.633424 |
Vertical extent information |
|
Minimum value |
-100 |
Maximum value |
2228 |
Coordinate reference system |
|
Authority code |
urn:ogc:def:cs:EPSG:: |
Code identifying the coordinate reference system |
5711 |
Temporal extent |
|
Begin position |
2004-06-01 |
End position |
N/A |
Dataset reference date |
|
Resource maintenance |
|
Maintenance and update frequency |
Unknown |
Contact info | |
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Lineage |
1) Full floristic plot data - 2,908 individual plots compiled from 36 flora survey programs.; 2) Abiotic environmental surfaces; 3) Derivation of probability surfaces; ; Plot data analysed using PATN statistical sofware to derive a set of vegetation communities, each represented by a group of floristically similar sites. Each group modelled across the landscape by reporting sites against abiotic surfaces. Both General Additive Models (GAMs) and General Dissimilarity Models (GDMs) derived for each community.; ; 4) Air Photo Interpretation (API); API used to constrain original models. A unique set of; candidacy rules was developed for each vegetation group; based on API floristics, API understorey, and 100K; mapsheet. The rule sets were applied spatially through a; set of candidacy matrices which acted to reduce the model; probability values in some areas. For any grid-cell of a; given probability surface, the final constrained value was a; product of the original value, canopy probability,; understorey probability, and mapsheet probability of that; community for that grid-cell.; 5) Model selection; GAMs and GDMs for each community were expertly; scrutinised, and one or the other selected as the final; model for integration.; 6) Model integration; 108 final surfaces were merged into the final vegetation; composite using a new approach called iterative partial; replacement, which was designed to replace the gridcells; of over-predicted map units with those of under-predicted; units in the composite.; The final composite layer shows the predicted and current; extent of each vegetation community. |
| Field | Value |
|---|---|
Limitations on public access |
|
| Field | Value |
|---|---|
Scope |
dataset |
DQ Completeness Commission |
|
Effective date |
2009-10-01 |
DQ Completeness Omission |
|
Effective date |
2009-10-01 |
DQ Topological Consistency |
|
Explanation |
Checked for missing attributes All attributes were checked |
DQ Absolute External Positional Accuracy |
|
Explanation |
10m to 100m within extent of API. |
DQ Non Quantitative Attribute Correctness |
|
Explanation |
A total of 696 canopy-only sites not used for modelling; were available to provide an evaluation against positive; diagnostic canopy species listed in each community.; Model accuracy is between 80-97% within the extent of; existing vegetation, indicating that on at least 4 of 5; occasions, a vegetation type on the ground will be; consistent with the model (on the basis of canopy; floristics).; Model accuracy is between 41 to 70% outside the extent; of mapped native vegetation, provide some level of; confidence in the vegetation model in terms of predicting; communities on cleared land.; A more suitable approach to model validation would; require comparison of model distribution against a new set; of survey sites (preferably full-floristic) across the region. |
| Field | Value |
|---|---|
Responsible party |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
| Field | Value |
|---|---|
Metadata point of contact |
|
Contact position |
Data Broker |
Organisation name |
NSW Department of Climate Change, Energy, the Environment and Water |
Telephone number |
131555 |
Email address |
|
Web address |
https://www.nsw.gov.au/departments-and-agencies/dcceew |
Responsible party role |
pointOfContact |
Metadata date |
2024-02-26T14:36:13.930071 |
Metadata language |
|