Data

'Climate Smart Seaports' tool applied to Southern Ports Authority, WA

RMIT University, Australia
Dr Jane Mullett (Aggregated by)
Viewed: [[ro.stat.viewed]] Cited: [[ro.stat.cited]] Accessed: [[ro.stat.accessed]]
ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft.title='Climate Smart Seaports' tool applied to Southern Ports Authority, WA&rft.identifier=b411448e04c15ae3258eab6f5c8ca069&rft.publisher=RMIT University, Australia&rft.description=Report about climate change in the Southern and Southwestern Flatlands West NRM region of Australia, focused on Albany Port. This report was created in reference to Albany Port (AUALH), located in the ABC NRM region Southern and Southwestern Flatlands West. The report is composed of Ports Australia data, CSIRO & BoM trend data, measurements from ACORN-SAT stations, CSIRO future data, CMAR future data, and Jane Mullett's personal analysis. Climate Smart Seaports is an online decision support toolkit designed to help Australian seaports adapting to climate change and improving their resilience to it. The toolkit lets users access data from various datasets such as CSIRO, BoM, ABS, BITRE as well as their own personal data. Climate Smart Seaports then allows writing and publishing reports based on this data and the user analysis.&rft.creator=Dr Jane Mullett&rft.date=2017&rft.relation=https://www.nccarf.edu.au/publications/enhancing-resilience-seaports-synthesis-and-implications&rft.coverage=112.7632954156051,-26.52537830109324 112.2397686001995,-35.9640923319097 125.4390964302563,-36.01229549528745 124.759915381913,-26.54545205884348 112.7632954156051,-26.52537830109324&rft.coverage=POLYGON((116.56513452531 -35.655686301253,116.56513452531 -34.721926371576,119.02607202531 -34.721926371576,119.02607202531 -35.655686301253,116.56513452531 -35.655686301253))&rft_rights=Non-Derivative licence&rft_rights=CC BY-NC-ND: Attribution-Noncommercial-No Derivatives 3.0 AU http://creativecommons.org/licenses/by-nc-nd/3.0/au&rft_subject=Applied Economics &rft_subject=Atmospheric Sciences &rft_subject=Climatology&rft_subject=Earth Sciences&rft_subject=Environment and Resource Economics &rft_subject=Interdisciplinary Engineering &rft_subject=Meteorology&rft_subject=Climate Change Processes&rft_subject=EARTH SCIENCES&rft_subject=ATMOSPHERIC SCIENCES&rft_subject=Climatology (excl. Climate Change Processes)&rft_subject=Meteorology&rft_subject=Environment and Resource Economics&rft_subject=ECONOMICS&rft_subject=APPLIED ECONOMICS&rft_subject=Interdisciplinary Engineering not elsewhere classified&rft_subject=ENGINEERING&rft_subject=INTERDISCIPLINARY ENGINEERING&rft_subject=Applied research&rft.type=dataset&rft.language=English Access the data

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RMIT e-Research Office

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CC BY-NC-ND: Attribution-Noncommercial-No Derivatives 3.0 AU
http://creativecommons.org/licenses/by-nc-nd/3.0/au

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Non-Derivative licence http://creativecommons.org/licenses/by-nc-nd/3.0/

Full description

Report about climate change in the Southern and Southwestern Flatlands West NRM region of Australia, focused on Albany Port. This report was created in reference to Albany Port (AUALH), located in the ABC NRM region Southern and Southwestern Flatlands West. The report is composed of Ports Australia data, CSIRO & BoM trend data, measurements from ACORN-SAT stations, CSIRO future data, CMAR future data, and Jane Mullett's personal analysis. Climate Smart Seaports is an online decision support toolkit designed to help Australian seaports adapting to climate change and improving their resilience to it. The toolkit lets users access data from various datasets such as CSIRO, BoM, ABS, BITRE as well as their own personal data. Climate Smart Seaports then allows writing and publishing reports based on this data and the user analysis.

This dataset is part of a larger collection

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112.7633,-26.52538 112.23977,-35.96409 125.4391,-36.0123 124.75992,-26.54545 112.7633,-26.52538

118.83943251523,-31.26883689819

text: POLYGON((116.56513452531 -35.655686301253,116.56513452531 -34.721926371576,119.02607202531 -34.721926371576,119.02607202531 -35.655686301253,116.56513452531 -35.655686301253))

Identifiers
  • Local : b411448e04c15ae3258eab6f5c8ca069