Statistical Manager Algorithms

From Gcube Wiki
Revision as of 19:53, 28 March 2014 by Leonardo.candela (Talk | contribs) (Clustering Algorithms)

Jump to: navigation, search

The complete list of algorithms supported by the Statistical Manager service is reported below.

Algorithms are clustered in the following categories: ... to be completed

AQUAMAPSNN, AQUAMAPS_NATIVE, AQUAMAPS_NATIVE_2050, AQUAMAPS_NATIVE_NEURALNETWORK
  • Miscellaneos: algorithms not belonging to any of the above categories;
ABSENCE_CELLS_FROM_AQUAMAPS, BIOCLIMATE_HCAF, BIOCLIMATE_HSPEC, BIOCLIMATE_HSPEN, BIONYM, BIONYM_BIODIV, BIONYM_LOCAL, TIMEEXTRACTION, ZETAEXTRACTION_TABLE

Clustering Algorithms

DBSCAN
Description A clustering algorithm for real valued vectors that relies on the density-based spatial clustering of applications with noise (DBSCAN) algorithm. A maximum of 4000 points is allowed.
Type Clustering
Execution ...

Ecological Modeling Algorithms

AQUAMAPSNN
Description The AquaMaps model trained using a Feed Forward Neural Network. This is a method to train a generic Feed Forward Artifical Neural Network to be used by the AquaMaps Neural Network algorithm. Produces a trained neural network in the form of a compiled file which can be used later.
A <type> algorithm that <what it does>. It accepts as input <input>. It produces <output>. <limitation>. For more information see: <citation/ref>
Type Models
Execution ...
AQUAMAPS_NATIVE
Description Algorithm for Native Distribution by AquaMaps. A distribution algorithm that generates a table containing species distribution probabilities on half-degree cells according to the AquaMaps approach for Native (Actual) distributions.
A distribution algorithm that generates a table containing species distribution probabilities on half-degree cells according to the AquaMaps approach with suitable distribution. It accepts as input a table containing species envelops (HSPEN), a table containing environmental parameters (HCAF) and a table containing species occurrences points (half-degree cells). It produces a table containing species distribution probabilities. <limitation>. For more information see: Kesner-Reyes, K., K. Kaschner, S. Kullander, C. Garilao, J. Barile, and R. Froese. 2012. AquaMaps: algorithm and data sources for aquatic organisms. In: Froese, R. and D. Pauly. Editors. 2012. FishBase. World Wide Web electronic publication. www.fishbase.org, version (04/2012).
Type Distributions
Execution ...
AQUAMAPS_NATIVE_2050
Description Algorithm for Native 2050 Distribution by AquaMaps. A distribution algorithm that generates a table containing species distribution probabilities on half-degree cells according to the AquaMaps approach with native distribution estimated for 2050.
Type Distributions
Execution ...
AQUAMAPS_NATIVE_NEURALNETWORK
Description Aquamaps Native Algorithm calculated by a Neural Network. A distribution algorithm that relies on Neural Networks and AquaMaps data for native distributions to generate a table containing species distribution probabilities on half-degree cells.
Type Distributions
Execution ...
AQUAMAPS_SUITABLE
Description Algorithm for Suitable Distribution by AquaMaps. A distribution algorithm that generates a table containing species distribution probabilities on half-degree cells according to the AquaMaps approach for suitable (potential) distributions.
Type Distributions
Execution ...
AQUAMAPS_SUITABLE_2050
Description Algorithm for Suitable 2050 Distribution by AquaMaps. A distribution algorithm that generates a table containing species distribution probabilities on half-degree cells according to the AquaMaps approach for suitable (potential) distributions for the 2050 scenario.
Type Distributions
Execution ...
AQUAMAPS_SUITABLE_NEURALNETWORK
Description Aquamaps Algorithm for Suitable Environment calculated by Neural Network. A distribution algorithm that relies on Neural Networks and AquaMaps data for suitable distributions to generate a table containing species distribution probabilities on half-degree cells.
Type Distributions
Execution ...
xxx
Description ...
Type ...
Execution ...

Signal Processing Algorithms

xxx
Description ...
Type ...
Execution ...

Miscellaneous Algorithms

ABSENCE_CELLS_FROM_AQUAMAPS
Description An algorithm producing cells and features (HCAF) for a species containing absence points taken by an Aquamaps Distribution.
A transducer algorithm that generates an Half-degree Cells Authority File (HCAF) dataset for species estimated absences points. It accepts as input a table xxx, a table xxx, the target species and the number of points to select. It produces an HCAF table containing environmental parameters on selected points. <limitation>. For more information see: Kesner-Reyes, K., K. Kaschner, S. Kullander, C. Garilao, J. Barile, and R. Froese. 2012. AquaMaps: algorithm and data sources for aquatic organisms. In: Froese, R. and D. Pauly. Editors. 2012. FishBase. World Wide Web electronic publication. www.fishbase.org, version (04/2012).
Type Transducer
Execution Single machine
BIOCLIMATE_HCAF
Description A transducer algorithm that generates an Half-degree Cells Authority File (HCAF) dataset for a certain time frame, with environmental parameters used by the AquaMaps approach. Evaluates the climatic changes impact on the variation of the ocean features contained in HCAF tables
Type Transducer
Execution Single machine
BIOCLIMATE_HSPEC
Description A transducer algorithm that generates a table containing an estimate of species distributions per half-degree cell (HSPEC) in time. Evaluates the climatic changes impact on species presence.
Type Transducer
Execution Single machine
BIOCLIMATE_HSPEN
Description A transducer algorithm that generates a table containing species envelops (HSPEN) in time, i.e. models capturing species tolerance with respect to environmental parameters, used by the AquaMaps approach. Evaluates the climatic changes impact on the variation of the salinity values in several ranges of a set of species envelopes
Type Transducer
Execution Single machine
BIONYM
Description An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication.
Type  ???
Execution  ???
BIONYM_BIODIV
Description An algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication.
Type  ???
Execution  ???
BIONYM_LOCAL
Description A fast version of the algorithm implementing BiOnym, a flexible workflow approach to taxon name matching. The workflow allows to activate several taxa names matching algorithms and to get the list of possible transcriptions for a list of input raw species names with possible authorship indication.
Type  ???
Execution Single machine
TIMEEXTRACTION
Description An algorithm to extract a time series of values associated to a geospatial features repository (e.g. NETCDF, ASC, GeoTiff files etc. ). The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram.
Type Transducer
Execution Single machine
ZETAEXTRACTION_TABLE
Description An algorithm to extract a time series of values associated to a table containing geospatial information. The algorithm analyses the time series and automatically searches for hidden periodicities. It produces one chart of the time series, one table containing the time series values and possibly the spectrogram.
Type Transducer
Execution Single machine