Successful visualisation requires use of new and engaging techniques, utilising modern and emerging visualisation approaches. Additionally, effective tools must be built using pertinent software architecture.
For the North East CMA, in-house ArcGIS Online architecture was employed to implement and host the Spatial Explorers as web applications. Tools were published as a series of ArcGIS web services that would in turn be consumed by the web applications, one for each agricultural sector and climatic element. This incorporated a series of available widgets such as filtering and customised toolkits allowing users to graph differences between three timeframes for the same climatic factors or agricultural commodities. This included focuses on temperatures, heat waves, rainfall and water balance issues.
The foundation of climate and agricultural data visualisation is, of course, the data. Current climate information was obtained through the SILO data repository and climate change data was sourced from the CSIRO for an appropriate Global Climate Change Model and emissions scenario. Both were furnished at a 5km2 grid for the region. Agricultural production and water balance were modelled through the Catchment Analysis Toolkit and validated through a series of workshops with local producers and relevant industry bodies.
This allowed for relevant climate parameters, contextual information and productivity performance based metrics relating to anticipated climate impacts to commodities to be customised for each agricultural sector.