Difference between revisions of "Ecosystem Approach Community of Practice: Experiments"
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== Experiments == | == Experiments == | ||
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* [[BiOnym]] There are many BiOnym Experiments; how to manage that long list? With a dedicated wikindex (section / page) | * [[BiOnym]] There are many BiOnym Experiments; how to manage that long list? With a dedicated wikindex (section / page) | ||
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* [[Map Comparison with Cohen's Kappa]] | * [[Map Comparison with Cohen's Kappa]] | ||
* [[IOTC Area Predictive analysis]] | * [[IOTC Area Predictive analysis]] | ||
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* [[ICES SGVMS]] Interpolate NEAFC VME Data for Fishframe purposes | * [[ICES SGVMS]] Interpolate NEAFC VME Data for Fishframe purposes | ||
* [[WhereTheFaoAmI]] A WPS service to tell authorized users in what FAO area their lat / long is | * [[WhereTheFaoAmI]] A WPS service to tell authorized users in what FAO area their lat / long is | ||
| − | * [[ | + | * [[R algorithm integration with Statistical Manager]] An experiment to assess the integration of R algorithms with the Statistical Manager. Example of a SDMX-to-CSV Data converter |
| + | * [[Integrate SPREAD algorithms in Statistical Manager]] An experiment to further assess the integration of R algorithms with the Statistical Manager. Concrete case of Spatial Data Reallocation | ||
| + | * [[VME Spatial analysis]] Review the information available in VME areas, and propose a statistical analysis of the relation between species occurrences and the environment. | ||
| + | * [[StockR]] Investigate if and how FAO Stock analysis software in R can gain in performance and flexibility | ||
| + | * [[MaxEnt]] Use the Maximum Entropy algorithm to make Niche Modeling experiments | ||
Latest revision as of 16:48, 7 November 2014
Contents |
The iMarine e-InfrastructureAn operational combination of digital technologies (hardware and software), resources (data and services), communications (protocols, access rights and networks), and the people and organizational structures needed to support research efforts and collaboration in the large. is well-suited to support data-experiments; it integrates data environments, processing resources, storage and publication areas with a collaborative set of components. These experiments can be described in this wiki using the "Scientific Method", which brings consistency to the various proposed experiments. The descriptions in this wiki are rather notes than complete experiments logs, and the resulting output, which may be e.g. scientific papers, are separate project outputs.
These wiki pages thus serve to understand the activity, discuss effort, and report on results for all project participants. It helps with the design, and the interpretation of the results. The design is a logical and rational order of steps to come to a conclusion:
- Observation/Research: add a description here ... what about Experiment Goal or Intention rather than Observation/Research
- Hypothesis: add a description here
- Prediction: add a description here
- Experimentation: add a description here
- Conclusion: add a description here
Experiments
- BiOnym There are many BiOnym Experiments; how to manage that long list? With a dedicated wikindex (section / page)
- Map Comparison with Cohen's Kappa
- IOTC Area Predictive analysis
- NEAFC2FF Convert NEAFC VME Data to Fishframe
- ICES SGVMS Interpolate NEAFC VME Data for Fishframe purposes
- WhereTheFaoAmI A WPS service to tell authorized users in what FAO area their lat / long is
- R algorithm integration with Statistical Manager An experiment to assess the integration of R algorithms with the Statistical Manager. Example of a SDMX-to-CSV Data converter
- Integrate SPREAD algorithms in Statistical Manager An experiment to further assess the integration of R algorithms with the Statistical Manager. Concrete case of Spatial Data Reallocation
- VME Spatial analysis Review the information available in VME areas, and propose a statistical analysis of the relation between species occurrences and the environment.
- StockR Investigate if and how FAO Stock analysis software in R can gain in performance and flexibility
- MaxEnt Use the Maximum Entropy algorithm to make Niche Modeling experiments
