Big open data for enviroinmental information systems

dc.contributor.authorCowan, Donald
dc.contributor.authorAlencar, Paulo
dc.contributor.authorMcGarry, Fred
dc.contributor.authorPalmer, R. Mark
dc.contributor.authorBoston, Trevor
dc.contributor.authorRozanski, Rigel
dc.date.accessioned2026-08-11T16:20:47Z
dc.date.issued2015-12-04
dc.description.abstractThe frequency of extreme weather events has accelerated, an apparent outcome of progressive climate change. Excess water is a significant consequence of these events and is now the leading cause of insurance claims for infrastructure and property damage. Governments recognize that plans for growth must reflect communities needs, strengths and opportunities while balancing the cumulative effects of economic growth with environmental concerns. For such a process to be effective it will be necessary to develop and operate cumulative effect decision support software (CEDSS) tools, and to work closely with all levels of government including watershed management authorities (WMAs) that supply environmental data. Such co-operation and sharing will require a new open and big data information-sharing platform, which is described in this paper as an open and big data platform for environmental analysis and management.
dc.identifier.urihttps://hdl.handle.net/10012/23948
dc.language.isoen
dc.publisherUniversity of Waterloo
dc.relation.ispartofseriesComputer Science Technical Reports; CS-2015-19
dc.titleBig open data for enviroinmental information systems
dc.typeTechnical Report
uws.contributor.affiliation1Faculty of Mathematics
uws.contributor.affiliation2David R. Cheriton School of Computer Science
uws.peerReviewStatusUnreviewed
uws.scholarLevelFaculty
uws.typeOfResourceTexten

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