Insert Clever Title with Geospatial ref here… Tommy Jasmin University of Wisconsin SSEC/CIMSS 18 Jul 2012

About me

SSEC HawkCam

Geospatial in my words Add “when” and “where” to data Find and retrieve that data Visualize and analyze that data * Turning Earth-located data into useful information

Ok, but what’s “data”? Almost anything, since we’re all walking GPSs, generating data Firehose analogy 10x today

Even simpler… “Everything is related to everything else, but near things are more related than distant things.” - Waldo Tobler

The First Geospatial Analysis Case London cholera epidemic, 1854, cause found by Dr. John Snow

Finding Bin Laden

GerryMandering

Gang Turf

Foreclosures Find less distressed and high-amenity neighborhoods to minimize cost

A peek into Netflix queues

And of course Remote Sensing NorthEast India as viewed by VIIRS, RGB generated by McIDAS-V

Suomi NPP Day/Night Band North Dakota oil boom – 30 April 2012

Hurricane Wilma

Hurricane Ike

In Summary… X-Over! MetaData, Interop, Doc, etc… Everybody equal, Everybody participates, NO dumb questions Let’s solve some problems together

A peek ahead #1, Morphing MetaData From metadata doc to tagging From catalog portals to search engines and social networks From proprietary data to crowd- sourced

A peek ahead #2, Interoperability As Geospatial data creation and distribution becomes easier across various technology and platforms, Interoperability increases dramatically in importance. Interoperability standards like OGC become increasingly vital.

A peek ahead #3, SDIs A spatial data infrastructure (SDI) is a data infrastructure implementing a framework of geographic data, metadata, users, and tools that are interactively connected in order to use spatial data in an efficient and flexible way.