Data

Wingecarribee Fine-scale Native Vegetation Map (TECs) Version v2.1. VIS_ID 4676 & 4677

data.nsw.gov.au
NSW Department of Climate Change, Energy, the Environment and Water (Owner)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=http://data.nsw.gov.au/data/dataset/wingecarribee-fine-scale-native-vegetation-map-version-v2-0-tecs-vis-id-4676-4677&rft.title=Wingecarribee Fine-scale Native Vegetation Map (TECs) Version v2.1. VIS_ID 4676 & 4677&rft.identifier=http://data.nsw.gov.au/data/dataset/wingecarribee-fine-scale-native-vegetation-map-version-v2-0-tecs-vis-id-4676-4677&rft.publisher=data.nsw.gov.au&rft.description=Data Quality StatementDownload packageThe Wingecarribee Shire LGA Vegetation Mapping Project, a collaboration between the Council and the OEH State Vegetation Mapping Program, has produced three vegetation map products. These include the primary thematic layer in this dataset, which is a map of fine-scale scale Plant Community Type (PCT) (see VIS_ID 4670 https://datasets.seed.nsw.gov.au/dataset/wingecarribee-fine-scale-native-vegetation-map-version-v2-0-vis-id-4670), and two TEC layers described here in this metadata statement\r\n\r\nVersion 2.0 of all three datasets underwent internal review during May and June 2017. Although the review has been completed, this version (2.1) is currently unavailable until the State Vegetation Type Map for coastal NSW is complete, due June 2019.\r\n\r\nThese TEC surfaces are derived from the PCT mapping combined with expert rules that interpret the legal / ecological / geographical descriptions (Final Determinations and Listing/Conservation Advices). The ecological rules can be obtained upon request. These feature datsets include feature classes of the candidate extent of select TEC’s.\r\n\r\nThe TEC_Ext surfaces are more extended surfaces than the standard TEC boundaries and are derived from the presence of relevant PCT’s occurring in the PCTID map surface as well as PCT’s occurring in the EnvPCT2 and EnvPCT3 fields (where modelled probability > 0.3). The EnvPCT2 and EnvPCT3 fields indicate the 2nd and 3rd mostly likely PCT in a polygon respectively according to the modelling.\r\nVIS_ID 4676; VIS_ID 4677&rft.creator=Anonymous&rft.date=2024&rft.coverage=149.96434,-34.75119 149.96434,-34.21312 150.72342,-34.21312 150.72342,-34.75119 149.96434,-34.75119&rft_rights=Creative Commons Attribution http://www.opendefinition.org/licenses/cc-by&rft_subject=Threatened Ecological Communities&rft_subject=Vegetation Map&rft.type=dataset&rft.language=English Access the data

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Brief description

The Wingecarribee Shire LGA Vegetation Mapping Project, a collaboration between the Council and the OEH State Vegetation Mapping Program, has produced three vegetation map products. These include the primary thematic layer in this dataset, which is a map of fine-scale scale Plant Community Type (PCT) (see VIS_ID 4670 https://datasets.seed.nsw.gov.au/dataset/wingecarribee-fine-scale-native-vegetation-map-version-v2-0-vis-id-4670), and two TEC layers described here in this metadata statement

Version 2.0 of all three datasets underwent internal review during May and June 2017. Although the review has been completed, this version (2.1) is currently unavailable until the State Vegetation Type Map for coastal NSW is complete, due June 2019.

These TEC surfaces are derived from the PCT mapping combined with expert rules that interpret the legal / ecological / geographical descriptions (Final Determinations and Listing/Conservation Advices). The ecological rules can be obtained upon request. These feature datsets include feature classes of the candidate extent of select TEC’s.

The TEC_Ext surfaces are more extended surfaces than the standard TEC boundaries and are derived from the presence of relevant PCT’s occurring in the PCTID map surface as well as PCT’s occurring in the EnvPCT2 and EnvPCT3 fields (where modelled probability > 0.3). The EnvPCT2 and EnvPCT3 fields indicate the 2nd and 3rd mostly likely PCT in a polygon respectively according to the modelling.
VIS_ID 4676; VIS_ID 4677

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149.96434,-34.75119 149.96434,-34.21312 150.72342,-34.21312 150.72342,-34.75119 149.96434,-34.75119

150.34388,-34.482155

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