Data

Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions

James Cook University
Cheok, J
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_id=info:doi10.4225/28/5987b0133ebeb&rft.title=Influence of updating frequency in the iterative adjustment of regional priorities in the transition to local actions&rft.identifier=10.4225/28/5987b0133ebeb&rft.publisher=James Cook University&rft.description=These datasets contain the raw data analysed in the related publication, and are the results produced from simulating the incremental implementation of local actions guided by regional conservation assessments. The simulations explored how update frequency can influence aspects of translating regional assessments to local actions, and were coded for in R. These associated datasets include: 1) Time elapsed across the four simulation scenarios (100 replicates each), in terms of absolute numbers of planning units investigated (Absolute_pus_invest.csv); 2) Time elapsed across the four simulation scenarios (100 replicates each), in terms of unique numbers of planning units investigated (Unique_pus_invest.csv); 3) Time elapsed across the four simulation scenarios (100 replicates each), calculated as proportions of total planning units investigated throughout each simulation replicate (Prop_pus_invest.csv); 4) Total implemented reserve system extents by the end of all simulations (across the four simulation scenarios, calculated in kilometres squared) (Total_extents.csv); 5) Proportional (spatial) overlap between the initial prioritised regional assessment and the final implemented reserve system (across the four simulation scenarios, calculated as proportions) (Prop_overlaps.csv).&rft.creator=Cheok, J &rft.date=2017&rft.relation=http://dx.doi.org/10.1111/ddi.12660&rft.coverage=176.00939735771,-16.975795473249 175.76263982934,-18.088226170075 175.88847219028,-19.211734006736 176.37457709232,-20.23670529641 177.17337120075,-21.065174941735 178.20666298271,-21.61954828006 179.37330663922,-21.848764104448 180.55910296069,-21.731922693262 181.64797794125,-21.279661704062 182.53334491117,-20.533464132151 183.12853798271,-19.562799393849 183.37529551108,-18.459812190747 183.24946315013,-17.331409169589 182.7633582481,-16.289081210236 181.96456413967,-15.437440972916 180.93127235771,-14.862937151 179.7646287012,-14.624304488356 178.57883237973,-14.746026310565 177.48995739917,-15.21560818348 176.60459042925,-15.984969003914 176.00939735771,-16.975795473249&rft.coverage=Fiji Islands&rft_rights=&rft_rights=CC BY: Attribution 3.0 AU http://creativecommons.org/licenses/by/3.0/au&rft_subject=systematic conservation planning&rft_subject=regional priorities&rft_subject=protected areas&rft_subject=Marxan&rft_subject=iterative planning&rft_subject=implementation&rft_subject=ARC Centre of Excellence for Coral Reef Studies&rft_subject=Conservation and Biodiversity&rft_subject=ENVIRONMENTAL SCIENCES&rft_subject=ENVIRONMENTAL SCIENCE AND MANAGEMENT&rft_subject=Environmental Management&rft_subject=Ecosystem Assessment and Management of Marine Environments&rft_subject=ENVIRONMENT&rft_subject=ECOSYSTEM ASSESSMENT AND MANAGEMENT&rft_subject=Coastal and Marine Management Policy&rft_subject=ENVIRONMENTAL POLICY, LEGISLATION AND STANDARDS&rft.type=dataset&rft.language=English Access the data

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Full description

These datasets contain the raw data analysed in the related publication, and are the results produced from simulating the incremental implementation of local actions guided by regional conservation assessments. The simulations explored how update frequency can influence aspects of translating regional assessments to local actions, and were coded for in R. These associated datasets include: 1) Time elapsed across the four simulation scenarios (100 replicates each), in terms of absolute numbers of planning units investigated (Absolute_pus_invest.csv); 2) Time elapsed across the four simulation scenarios (100 replicates each), in terms of unique numbers of planning units investigated (Unique_pus_invest.csv); 3) Time elapsed across the four simulation scenarios (100 replicates each), calculated as proportions of total planning units investigated throughout each simulation replicate (Prop_pus_invest.csv); 4) Total implemented reserve system extents by the end of all simulations (across the four simulation scenarios, calculated in kilometres squared) (Total_extents.csv); 5) Proportional (spatial) overlap between the initial prioritised regional assessment and the final implemented reserve system (across the four simulation scenarios, calculated as proportions) (Prop_overlaps.csv).

Created: 2017-08-07

This dataset is part of a larger collection

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177.88131991467,-18.236534296402

Identifiers
  • Local : 1947be67bd90d8f3c67dc6105298483c
  • Local : https://research.jcu.edu.au/data/published/d88f5c8fca566487680b889f8c0feb0b
  • DOI : 10.4225/28/5987b0133ebeb