Data

Data and R code for PhD Thesis by Chi T. U. Le (2019)

La Trobe University
Ben Gawne (Aggregated by) Chi Le (Aggregated by) Phillip Suter (Aggregated by) Warren Paul (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26181/5c81d1172806d&rft.title=Data and R code for PhD Thesis by Chi T. U. Le (2019)&rft.identifier=https://doi.org/10.26181/5c81d1172806d&rft.publisher=La Trobe University&rft.description=Data and R code used in L, C. T. U (2019). Using Causal Modelling Principles to Integrate Long-term Macroinvertebrate Monitoring Data for the Murray River with an Existing Hydroclimate-Salinity Model for the Murray-Darling Basin to Predict the Ecohydrological Effects of Future Climate Scenarios. Unpublished PhD thesis. La Trobe University, Victoria, Australia.&rft.creator=Ben Gawne&rft.creator=Chi Le&rft.creator=Phillip Suter&rft.creator=Warren Paul&rft.date=2024&rft_rights=CC-BY-NC-4.0&rft_subject=Murray River&rft_subject=River Murray Biological and Water Quality Monitoring Programs&rft_subject=Long-term monitoring data&rft_subject=Aquatic Macroinvertebrates&rft_subject=Ecohydrological models&rft_subject=Freshwater Ecology&rft_subject=Applied Statistics&rft.type=dataset&rft.language=English Access the data
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Data and R code used in L, C. T. U (2019). Using Causal Modelling Principles to Integrate Long-term Macroinvertebrate Monitoring Data for the Murray River with an Existing Hydroclimate-Salinity Model for the Murray-Darling Basin to Predict the Ecohydrological Effects of Future Climate Scenarios. Unpublished PhD thesis. La Trobe University, Victoria, Australia.

Issued: 2019-03-08

Created: 2019-03-08

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Subjects
Applied Statistics | Aquatic Macroinvertebrates | Ecohydrological models | Freshwater Ecology | Long-term monitoring data | Murray River | River Murray Biological and Water Quality Monitoring Programs |

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