Techniques for handling large pond and farm datasets
cg.contributor.affiliation | Institut für Meereskunde an der Universität Kiel | |
cg.description.theme | Aquaculture | en_US |
cg.identifier.status | Open access | |
cg.identifier.worldfish | 3535 | |
cg.subject.agrovoc | aquaculture | |
cg.subject.agrovoc | methodology | |
cg.subject.agrovoc | research | |
dc.creator | Prien, M. | |
dc.creator | Milstein, A. | |
dc.date.accessioned | 2019-04-22T04:44:23Z | |
dc.date.available | 2019-04-22T04:44:23Z | |
dc.date.issued | 1988 | |
dc.description.abstract | Details are given of techniques to be used in the handling of large amounts of data in the field of aquaculture. Two examples are given where different types of multivariate data analyses are performed on the compiled datasets to identify and quantify the effects of key variables governing growth and production of fish in manured pond systems cultivating tilapia and carp. | |
dc.format | application/pdf | |
dc.identifier.citation | Aquabyte 1 (2): 4-5 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12348/3216 | |
dc.language | en | |
dc.publisher | ICLARM | |
dc.rights | CC BY 4.0 | |
dc.source | Aquabyte | |
dc.title | Techniques for handling large pond and farm datasets | |
dc.type | Journal Article | |
dcterms.bibliographicCitation | Prien, M.; Milstein, A. (1988). Techniques for handling large pond and farm datasets. Aquabyte 1 (2): 4-5 |
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