Working with Multidimensional Scientific Data Using Python

Working with Multidimensional Scientific

Data Using Python

Nawajish Noman, Sarmistha Chatterjee

Outline

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Scientific multidimensional data in ArcGIS

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Reading, managing, visualizing and exploring

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Performing analysis

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Extending analytical capabilities using Python

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Sharing as services and consuming

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Resources

Scientific Multidimensional Data in ArcGIS

Scientific Multidimensional Data in ArcGIS

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Multidimensional Data

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Observed data

Monitoring stations, other platforms

Remotely sensed

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Reconstructed data

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Simulation Model results

Examples

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Ocean data

Sea temperature, salinity, ocean current

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Weather data

Temperature, humidity, wind

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Land

Soil moisture, NDVI, land cover

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Formats

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NetCDF, GRIB, and HDF

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Esri Mosaic dataset and Cloud Raster Format (CRF)

Scientific Multidimensional Data in ArcGIS: Vision

direct ingest

data

management

share

ArcGIS

analysis

visualization

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