GDM - All Plants - Underlying Data: mattran

LCR / GDM
15
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48231
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: raintran

LCR / GDM
16
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict fern compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48247
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: mastran

LCR / GDM
15
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48230
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: discoasttran

LCR / GDM
15
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict fern compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48240
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: r2pettran

LCR / GDM
14
11
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict fern compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48246
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Ferns - Underlying Data: calciumtran

LCR / GDM
14
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict fern compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all fern taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48239
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: junestran

LCR / GDM
12
13
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48229
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - All Plants - Underlying Data: gdmytran

LCR / GDM
14
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict plant compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all vascular plant taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48228
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed

LCDB v4.1 Version Trace, Mainland New Zealand

Licence

Creative Commons Attribution 3.0 New Zealand

You may use this work for commercial purposes.

You must attribute the creator in your own works.

1
23
Added
16 Jul 2015

This dataset was first added to LRIS Portal on 16 Jul 2015.

This data set (LCDB v4.1 Version Trace) allows users to track changes back to the previous version (v4.0), and to reconcile derived quantities, such as the total area of a class in a region, to those derived from the earlier LCDB version. Additionally the authority (and date) for mapping the change is recorded in this database where such a change has been manually mapped.

DO NOT use this dataset to assess real vegetation change over time. Rather use the latest available LCDB version which will contain vegetation cover for all timesteps. This Version Trace dataset is only provided to help reconcile with an analysis done on an earlier version of the LCDB.

Similar datasets were provided to trace LCDB2 ==> LCDB v3.0, LCDB v3.0 ==> LCDB v3.3, and LCDB v3.3 ==> LCDB v4.0. Note however, we previously called the dataset "Change" rather than "Version Trace", e.g. "LCDB v4.0 Change".

Layer ID 48429
Data type Vector polygon
Feature count 56285
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

GDM - Trees and Shrubs - Underlying Data: gdmxtran

LCR / GDM
11
12
Added
13 Oct 2011

This dataset was first added to LRIS Portal on 13 Oct 2011.

This layer provides a transformation of environmental layer to best predict tree and shrub compositional turnover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relationship to environment and biogeography. This model was used to transform and scale environmental layers to predict community composition. These transformed environmental layers can be used to predict commmunity composition changes, and to classify New Zealand into areas of similar biotic composition. The biotic data used for this model include all non-fern tree and shrub taxa from NVS recce data and estimated community compositions from pollen data.

Layer ID 48254
Data type Grid
Resolution 100.000m
Services Raster Query API, Catalog Service (CS-W), data.govt.nz Atom Feed
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