http://rdp.utas.edu.au/metadata/2e4f5e46-b472-47c0-bf18-3c266e1d6eac
Economics
The work undertaken to generate these data collections was funded by the Australian Government Department of Agriculture, Water and the Environment (DAWE) through the NESP Resilient Landscapes Hub. The data presented here is provided under a Creative Commons CC-BY Attribution 3.0 Australia license. For the avoidance of doubt, this only applies to material as set out in this data record. In regards to the Household Income and Labour Dynamics in Australia (HILDA) data summarised within the NRM dataset, the calculations are our own. The opinions, comments and analysis expressed in this document are those of the authors and do not necessarily represent the views of the Minister for Social Services or the Australian Government Department of Social Services and cannot be taken in any way as expressions of government policy.
This work is licensed under a Creative Commons Attribution (BY) 4.0 International License.
A compilation of Australian data that are (a) publicly available; and (b) use consistent measures across the continent. The compilation is deliberately broad - aiming to include variables that describe each of four 'capitals' (natural, human, social / institutional and financial/built). Our data set includes 6 unique files: 1) Metadata.xlsx: provides Data citations and license details for 37 unique data sources and all variable details as processed in this dataset 2) data_description_nrm_2023.html: Data description of variables and summary methods as output summary code 3) ibra_compile_2023.csv: tabular summary for IBRA regions 4) nrm_compile_2023.csv: tabular summary for NRM regions 5) NESP RL Hub IBRA subregions 2023.lpk: spatial layer package for IBRA regions 6) NESP RL Hub NRM regions 2023.lpk: spatial layer package for NRM regions The data presented here is provided under a Creative Commons CC-BY Attribution 3.0 Australia license. For the avoidance of doubt, this only applies to material as set out in this data record.
Different types of data have been collected by different agencies, at different points in time. This compilation includes the most recent; other temporal layers will be added over time
We collated publicly available data into a GIS - storing all at smallest (spatial) resolution available - and at the most recent point of time. When generating the excel datasheets that describe (a) Australian Natural Resource Management (NRM) regions and (b) IBRA sub-regions, we 'rescaled' data to different geographic boundaries using differing assumptions (e.g. that populations are distributed evenly). Further details are available on request