data test

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme...

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme...

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme...

There has been a change in the way the S-map is being made available to users. The S-map primary map layer ofsoil classes (i.e. delineated areas that are labelled with the soil family name) is no longer freely available to commercial users. Access to this data and associated soil attribute data for commercial use is by negotiation - please contact Graeme...

A 25m resolution grid of mean annual vapour pressure deficit derived from the Land Environment New Zealand underlying climate dataset at an original resolution of 100m. This grid was resampled to 25m by bilinear interpolation to have visually compatible resolution to other data sets being used in modelling of ECR BASE carrying capacity. For use with both...

This is a binary mask layer for the Earning Capacity Rental project - identifying all areas that by definition (forested or water body) will have BASE carrying capacity set to zero (0 SU/ha). All other areas are set to one (unity). The final BASE carrying capacity is derived by multiplying the result of the regression models by this binary mask leavibng...

A 25m resolution grid of mean annual vapour pressure deficit derived from the Land Environment New Zealand underlying climate dataset at an original resolution of 100m. This grid was resampled to 25m by bilinear interpolation to have visually compatible resolution to other data sets being used in modelling of ECR BASE carrying capacity. For use with both...

A 25m resolution grid of long-term mean annual solar radiation for use as a regression variable for calculating ECR BASE carrying capacity. NZMAS is derived from the LENZ underlying climate layer dataset. This grid has been resampled to 25m resolution using bilinear interpolation to deliver visually compatible apparent resolution as other input data sets...

This layer comes from the Threatened Environment Classification (TEC) version 2012, which is a source of national scale background information on New Zealand's land environments. Specifically, it shows how much native (indigenous) vegetation remains within land environments, and how past vegetation loss and legal protection are distributed across New...

A 25m resolution slope grid, derived from a digital elevation model (DEM) clipped from Landcare Research's national 25m DEM for use as a regression variable for calculating ECR BASE carrying capacity. For use with Model 2..

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors...

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research)3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South...

The New Zealand Fundamental Soil Layer originates from a relational join of features from two databases: the New Zealand Land Resource Inventory (NZLRI), and the National Soils Database (NSD). The NZLRI is a national polygon database of physical land resource information, including a soil unit. Soil is one in an inventory of five physical factors...

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...

Map of indigenous forest classes in New Zealand (podocarp, broadleaved, beech, podocarp-broadleaved, beech-broadleaved, podocarp-broadleaved-beech, kauri, coastal, subalpine scrub).

A 25m resolution grid of aspect in degrees north of south, for use as a regression variable for calculating BASE carrying capacity using Model 1 where:if aspect <= 180 then aspect180 = aspectelse if aspect > 180 then aspect180 = 360 - aspectThis aspect data is symmetrical around north-south, meaning east and west are considered equivalent (90...

Soil temperature surfaces for the South Island of New Zealand are based on analysis of a combination of monthly mean soil temperature data from the NIWA (National Institute of Water and Atmospheric Research) 3 years data from 175 mini-data-loggers (1997-2000) laid out in a stratified sampling scheme at 7 climatically representative locations in the South...

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...

This data layer was derived from terrain analysis of a 25 m resolution national digital terrain model to create a setof landform elements. The landform elements are derived from a fuzzy classification based on local geometry (curvature and slope) and landscape context, and provide a primary foundation for mapping soil distribution in steepland land...

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...