application examples Gianpaolo Coro ISTICNR Environmental analysis MaxEntropy finds the correlation between one phenomenon and N environmental variables OccurrenceEnrichment enriches presence points with environmental data ID: 809042
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Slide1
The D4Science e-Infrastructure:application examples
Gianpaolo
Coro, ISTI-CNR
Slide2Environmental analysis
MaxEntropy
: finds the correlation between one phenomenon and N environmental variables
OccurrenceEnrichment
: enriches presence points with environmental data
Rasterization
: transforms vectorial datasets into raster datasets
XYZT -
DataExtraction
: extracts environmental data with uniform geographic projection
X
Slide3Time Series of Environmental data
Periodicities detection
Uniform sampling
Forecasting
Slide4Climate Change Effect on Species
Estimated impact of climate changes over 20 years on 11549 species.
Pseudanthias
evansi
The occupancy by the
Pseudanthias
evansi
decreases in Area 71 but increases in Area 77
Bioclimate
HSpec
Overall
occupancy
in time
iMarine - Just an overview
4
Slide5Biodiversity
Plankton regime shift
Herring recovered after the fish ban
AquaMaps
and ANN
: calculates the potential and actual niche of a species
Clustering
: detects common and rare species in marine areas
Trendylyzer
: detects ecosystem changes and their effect on species trends
BiOnym
: a flexible and powerful search engine in large taxonomic trees
Slide6Fisheries
CMSY
: estimates Maximum Sustainable Yield from catch statistics
LWR
: transforms fish length into weight
CatchSeriesAnalysis
: estimates the effect of piracy on catch trends
VTI
: classifies vessels activities and estimates effort per 0.5
deg
areas
Slide7Behind the scenes
Slide8D4Science e-Infrastructure
Slide9Managed Standards and Formats:
Web
Maps Service (WMS
)
Web Coverage Service (WCS)
Web Features Service (WFS)
OPeNDAP (Access to NetCDF GRID files)
ASC (ESRI GRID
raster files)
GeoTiff
OGC
Standards
Slide10GeoExplorer
is a web application (
Portlet
) for geo-spatial
layers
to:Discover
InspectOverlaySave
WMS, WCS, WFS...
Data Discovery
Temperature
Species Distribution
Slide11Common Geospatial Representation
NetCDF
ASC
WFS
WCS
XYZT
Table
Species
Modelling
Neural Networks
Forecasting
Signal Processing
Maps
Comparison
User
Defines
XY Resolution Grid
In Z and T
D4Science Data Resources
D4Science Projector
Modelling Layer
Matrices of data in time
GeoTiff
Slide12Statistical Manager
Processes data using statistical models
Integrates models from communities
Hides algorithms complexity
Automatically generates the interface
Uses Cloud computing
Statistical
Manager
D4Science
Computational
Facilities
S
haring
Setup and execution
Slide13Numbers
2014
Avg
Users per month
1300
Number of Algorithms
100
Number of contributing Organizations providing algorithms7
CNR,Geomar,FIN,FAO,T2,
IRD,Agrocampus
Publications13
Sum Impact Factor12.17
Slide14Thank you