Data

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 = aspect

else if aspect > 180 then aspect180 = 360 - aspect

This aspect data is symmetrical around north-south, meaning east and west are considered equivalent (90 degrees) to avoid problems in regression where normal aspect values of 0 and 360 degrees both equal the same north.

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 model values either unchanged or reset to zero. For use with both Model 1 and Model 2.

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 used in the ECR modelling process. For use with Model 2.

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.

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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 Model 1 and Model 2.

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 Model 1 and Model 2.