Scoping the Aus-Env website ########################### Australia's Environment in 2015 Background ========== In March/April (probably latter) of 2015, Albert and some of his group intend to give a seminar (series) presenting their best assessment of the condition of Australia's Environment in 2015. This would be a good opportunity to focus some web development. The document outlining a ToC for the seminar can be found elsewhere in this folder. Essentially, it will seek to summarise the main changes in the environment in terms of: #. land use / land cover change #. bushfire #. weather and water #. rivers and wetlands #. agricultural land #. natural ecosystems #. the carbon balance For each of this themes, one or a few national-scale headline indicators will be calculated to express the main environmental changes in 2015. Examples could be, e.g., (a) the amount of natural forest lost or gained; (b) the number of wetlands receiving above average water; etc. Specific indicators will be determined at a later stage based on the type and quality of data available and the meaningfulness and robustness of the interpretation. Some relevant examples could be Australia's `Sustainability Indicators`_ or the `trial environmental accounts`_ by the Wentworth Group. .. _Sustainability Indicators: https://www.environment.gov.au/topics/sustainable-communities/measuring-sustainability/sustainability-indicators .. _trial environmental accounts: http://wentworthgroup.org/portfolio-item/native-vegetation/ Underpinning these indicators will be spatio-temporal data summarised in tabulated environmental accounts, in which the spatial and temporal data are aggregated to suitable - temporal scales (probably mainly annual) - spatial units - probably by statistical area, bioregion, catchment and environmental asset (e.g. national park, Ramsar site) - spatial subunits (e.g. land cover/use categories) Web delivery ============ We envisage a data exploration web site, where people having heard the seminar or its summary can go and explore the interpreted data for themselves. For example, they: - may be particularly interested in a particular region or location, and want to see some mapping or tabulated numbers for it - may wish to take their time and explore national mapping of particular variables (e.g. land cover change, flooding, etc) - Investigate how certain headline indicators were calculated, i.e., on the basis of what data or by what method. - May wish to download a data layer or table for further analysis or comparison. Possible site structure ======================= A promising web site structure could be to have a landing page with a set of headline indicators that summarise 2015 at a glance. This could involve up/down arrows with simple stats next to them, for example, or other infographics-type visualisations. There could be a clickable national map that allows headline indicators to be shown by region. At this level, one might: a) click one of the headline indicators shown, which would take you to a theme page (e.g., natural ecosystems, or fire) where you can browse through a small number of national maps of different variables. b) click on one of the regions (SLAs, catchments, bioregions, assets etc.) or search for it in a list, and be shown the headline indicators for that region. This could then allow you to click through to get the detail on those headline indicators for that region (i.e. a similar map as (a) but zooming in on that region). Components required =================== These are likely to include: #. Grid mapping (WMS, DAP) #. Displaying headline indicators (with some type of simple visualisation) #. Presenting tabular data #. as maps #. as tables #. graphing (in a panel or as popups) showing #. time series #. bar chart #. pie chart Data sources ============ Likely to include the following: - OzWALD model-data system input and output files (0.05 degree daily). - Tree cover (change) mapping (1/4000 degree, one map for 2015) - Inundation mapping (0.005 degree, 8-daily maps) In each of these cases, we can produce 2015 summary maps (mean, min, max, anomaly, etc) as required.