From Australian Oceans Data Network
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Modelling Western Australian Fisheries with Techniques of Time Series Analysis

Created 23/06/2025

Updated 23/06/2025

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The project involves the development of a set of time series models to predict future catch, effort and catch-per-unit effort of different key fisheries species. It is planned to investigate the catch-effort, catch-environment, stock-recruitment-environment, etc., relationships and to analyse historical data. This can allow prediction of future catches of several key fisheries in Western Australia (including western rock lobster, prawns, herring, salmon, tailor). These time series models will provide low-cost effective methods for stock assessment of WA fisheries, especially for low-value fisheries. The time series models will allow better prediction of future catch/effort values and provide alternative performance indicators for fisheries management. Time: completion June 2004

Files and APIs

Additional Info

Field Value
Title Modelling Western Australian Fisheries with Techniques of Time Series Analysis
Language eng
Licence Not Specified
Landing Page https://data.gov.au/data/dataset/26b2225a-261b-4012-9765-87d5cc7c5fe2
Contact Point
Australian Ocean Data Network
headoffice@fish.wa.gov.au
Reference Period 01/01/2000 - 01/01/2004
Geospatial Coverage
Map data © OpenStreetMap contributors
{
  "coordinates": [
    [
      [
        111.0,
        -35.0
      ],
      [
        129.0,
        -35.0
      ],
      [
        129.0,
        -13.0
      ],
      [
        111.0,
        -13.0
      ],
      [
        111.0,
        -35.0
      ]
    ]
  ],
  "type": "Polygon"
}
Data Portal Australian Oceans Data Network

Data Source

This dataset was originally found on Australian Oceans Data Network "Modelling Western Australian Fisheries with Techniques of Time Series Analysis". Please visit the source to access the original metadata of the dataset:
https://catalogue.aodn.org.au/geonetwork/srv/eng/csw/dataset/modelling-western-australian-fisheries-with-techniques-of-time-series-analysis