Innovative data analysis for improved land, soils and biodiversity reporting and decision making
The costs of getting policy and regulation wrong can be very high, either limiting economic growth or reducing valuable natural capital. As a result central and regional government in NZ are increasingly reliant on data analysis to inform new policy and regulation.
Under the new Environmental Reporting framework, regional environmental reporting will be expected to use government-backed data that is nationally comparable and follows the principals governing Tier 1 Statistics. This requires coherent data standards, and improved reuse, linkages and access between existing databased.
To address these needs Landcare Research is developing a new approach to integrating land and biodiversity information so that it can be used to support environmental reporting.
This project will characterise external environmental and anthropogenic pressures (such as land use). Land use is a critical pressure indicator that repeatedly appears within the environmental framework.
To derive an indicator that allows insight into the state of, as well as pressures and impact on, soil heath, we will improve the database on soil health state by federating attribute datasets relating to similar soil properties.
The goal of this project is synthesise point-based occurrence data for individual species, depicting their current ranges, and, use spatial layers and analytical modelling, predicting what should be their full natural ranges.
Landcare Research is developing an innovative spatial data-cube technology to support raster, vector and link-data ‘big data’ processing.