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RIMIS. Regional Integrated Management Information System M. A. Cameron a , B. Croke bc , K. L. Taylor a , G. Walker a , B. Watson c a CSIRO Mathematical & Information Sciences Internet Marketplaces Group b ANU CRES c ANU iCAM. This Presentation. Requirements
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RIMIS Regional Integrated Management Information System M. A. Cameron a, B. Croke bc, K. L. Taylor a, G. Walker a, B. Watson c a CSIRO Mathematical & Information SciencesInternet Marketplaces Groupb ANU CRESc ANU iCAM
This Presentation • Requirements • Salinity Problem Environment • A Vision of RIMIS • RIMIS Components • EPSS Interface
Requirements • Facilitate interactive analysis of integrated resource management tradeoffs • Targeting salinity reduction with respect to land use change within catchments • Facilitate community consultation processes
Salinity Problem Environment • 1 Data from all States, Qld only for 2050. • 2 Data from WA, SA, Vic and NSW, Qld only for 2050. • 3 Data from WA, SA, Vic and NSW. • 4 Including Ramsar wetlands. • 5 Much of the remnant and perennial vegetation reported for each State occurs on agricultural lands.
Salinity Problem Environment • Multi-stakeholder • Catchment Management Board (CMB), individuals, communities, commercial/non-commercial organisations, Local, State and Federal Government • Multi-role • domain specialist, problem solver, interested public • The problem is… • Multiple perspectives on problem(s) and acceptable management option(s) • Patchy data environment • Distributed, fragmented heterogeneous sources • Domain specific modelling expertise • but an integrated view needed
Achieves integration across disciplines, scales, issues & organisations for catchment management issues Shopfront between problem stakeholders and professional domain experts Extensible Architecture in terms of data and process models permitting the CMB to re-configure aspects of RIMIS in response to evolving needs, typical of catchment management problems Delivers data access & integration from a range of data custodians A Vision of RIMIS
A Vision of RIMIS • Discovery and exploration of complex data • through hyper-media linking and visualization of information across organizations • Access to baseline data • for biophysical, social and economic process models relevant to the problem at hand • Problem focused exploration of issues and goals through an explicit statement of problem definition: • the context in which the problem occurs; • the process models active for the problem; • the proposed action plan interventions explored as part of the problem solving process; and • a record of the simulated outcomes of those action plans.
RIMIS Components • Website • Public site for community information & selected trade-offs • Secure for CMB, domain specialists • EPSS • Problem management interface • Models are Web Services • IMP infrastructure
EPSS Interface • ‘when faced with <problem>, what <outcome> might we observe if we do <action plan> assuming <scenario>?’ • Interface between CMB and domain specialists • CMB gets to define problem • Domain specialists model problem • Data sources • Process models • Model flow to coordinate and link information flow among process models • Problem solver explores scenario-action plan-outcome
Infrastructure Components • Each model node in model flow encapsulates a composition of: • general filter & transform operations • model invocation on transformed data • data store invocation (for memory of model outcome) • Problem solvers are not generally interested in this techno-babble view, although useful at design time • Model flow is a simplified domain specific representation of information flow among: • Data source(s) • Domain dependant models • Domain independent data store(s)
Future Work • Installation at NSW Department of Land and Water Conservation, October 2002 • Feedback from Domain Specialists, CMB members, Problem Solvers and DLWC IT Support • Domain Specialist Tools for Adding New Models • Commercialisation • Have we missed anything?
RIMIS Regional Integrated Management Information System M. A. Cameron a, B. Croke bc, K. L. Taylor a, G. Walker a, B. Watson c a CSIRO Mathematical & Information SciencesInternet Marketplaces Groupb ANU CRESc ANU iCAM