Product catalogue
Spatially-balanced designs that incorporate legacy sites
1. A robust scientific conclusion is the result of a rigorous scientific process. In observational ecology, this process involves making inferences about a population from 20 a sample. The sample is crucial, and is the result of implementing a survey design. A good survey design ensures that the data from the survey is capable of answering the research question. An even better design, such as spatially balanced designs, will also aim to reduce uncertainty as far as budgets will allow.
2. In many study areas, there are `legacy sites', that already have a time-series observed, and return visits to these sites are beneficial to enhance examination of temporal variability. We propose a method to incorporate these legacy sites into the survey effort whilst also maintaining spatial balance. This is the first formal method to perform this task.
3. Simulation experiments indicate that incorporating the spatial location of legacy sites increases spatial balance and decreases uncertainty in inferences (smaller standard errors in mean estimates). We illustrate the process using a proposed survey of a large marine reserve in South-Eastern Australia, where quantification of the reserve's biodiversity is required.
4. Our approach allows for integration of legacy sites into a new spatially-balanced 35 design, increasing efficiency. Scientists, managers and funders alike will benefit from this methodology { it provides a tool to provide efficient survey designs around established ones. In this way, it can aid integrated monitoring programs. An R-package that implements these methods, called MBHdesign, is available from CRAN.
<b>Citation:</b> Foster, S.D., Hosack, G.R., Lawrence, E., Przeslawski, R., Hedge, P., Caley, M.J., Barrett, N.S., Williams, A., Li, J., Lynch, T., Dambacher, J.M., Sweatman, H.P.A. and Hayes, K.R. (2017), Spatially balanced designs that incorporate legacy sites. <i>Methods Ecol Evol</i>, 8: 1433-1442. https://doi.org/10.1111/2041-210X.12782
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Identification info
- Date (Creation)
- 2017-01-04T01:00:00
- Date (Publication)
- 2024-05-14T07:02:30
- Citation identifier
- Geoscience Australia Persistent Identifier/https://pid.geoscience.gov.au/dataset/ga/103600
- Cited responsible party
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Role Organisation / Individual Name Details Publisher British Ecological Society
External Contact Author Foster, S.D.
External Contact Author Hosack, G.R.
External Contact Author Lawrence, E.
External Contact Author Przeslawski, R.
External Contact Author Hedge, P.
External Contact Author Caley, M.J.
External Contact Author Barrett, N.S.
External Contact Author Williams, A.
External Contact Author Li, J.
External Contact Author Lynch, T.
External Contact Author Dambacher, J.M.
External Contact Author Sweatman, H.P.A.
External Contact Author Hayes, K.R.
External Contact
- Name
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Methods in Ecology and Evolution
- Issue identification
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Volume 8, Issue 11 November 2017
- Page
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1433-1442
- Purpose
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Disseminate scientific research through peer-review journal publication
- Status
- Completed
- Point of contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Resource provider Place and Communities Division
External Contact Point of contact Carroll, A.
Place and Communities Internal Contact
- Spatial representation type
- Topic category
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- Oceans
Extent
Extent
))
- Maintenance and update frequency
- As needed
Resource format
- Title
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Product data repository: Various Formats
- Website
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Data Store directory containing the digital product files
Data Store directory containing one or more files, possibly in a variety of formats, accessible to Geoscience Australia staff only for internal purposes
- theme.ANZRC Fields of Research.rdf
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EARTH SCIENCES
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- Keywords
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balanced acceptance sampling
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- Keywords
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environmental sampling
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- Keywords
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quasi-random
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- Keywords
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spatial balance
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- Keywords
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survey design
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- Keywords
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unequal probability sample
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- Keywords
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Published_External
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Resource constraints
- Title
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Creative Commons Attribution 4.0 International Licence
- Alternate title
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CC-BY
- Edition
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4.0
- Access constraints
- License
- Use constraints
- License
- Other constraints
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©2017 CSIRO
Resource constraints
- Title
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Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
- Language
- English
- Character encoding
- UTF8
Distribution Information
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Role Organisation / Individual Name Details Distributor Commonwealth of Australia (Geoscience Australia)
Voice facsimile
- OnLine resource
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Link to Journal
Link to Journal
- Distribution format
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Resource lineage
- Statement
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This publication was led by CSIRO and will be submitted to a scientific journal for peer review, subsequent revision, and publication. The final product will be made available via the journal, not GA.
- Hierarchy level
- Document
Metadata constraints
- Title
-
Australian Government Security ClassificationSystem
- Edition date
- 2018-11-01T00:00:00
- Classification
- Unclassified
Metadata
- Metadata identifier
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urn:uuid/41bfcfd7-d8cf-4f46-982e-17538f8968d3
- Title
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GeoNetwork UUID
- Language
- English
- Character encoding
- UTF8
- Contact
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Role Organisation / Individual Name Details Point of contact Commonwealth of Australia (Geoscience Australia)
Voice Owner Carroll, A.
Place and Communities Internal Contact Point of contact Carroll, A.
Place and Communities Internal Contact
Type of resource
- Resource scope
- Document
- Name
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Journal Article
Alternative metadata reference
- Title
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Geoscience Australia - short identifier for metadata record with
uuid
- Citation identifier
- eCatId/103600
- Date info (Creation)
- 2017-01-04T11:16:58
- Date info (Revision)
- 2017-01-04T11:27:17
Metadata standard
- Title
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AU/NZS ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-1:2014
Metadata standard
- Title
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ISO 19115-3
- Title
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Geoscience Australia Community Metadata Profile of ISO 19115-1:2014
- Edition
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Version 2.0, September 2018
- Citation identifier
- https://pid.geoscience.gov.au/dataset/ga/122551