Database Driven Location Intelligence: The Missing Dimension

Javier de la TorreFounder & CEO, CARTO

PREDICT THROUGH LOCATION

PREDICT THROUGH LOCATIONGEOSPATIAL DATABASE ON THE CLOUD

As of last thursday...

CARTO is an open, powerful, and intuitive platform for discovering and predicting the key insights underlying the location data in our world.

(Michael Semensohn/Flickr)

most likely walking paths of 114,000 people walking to the L train

Sources:Census data - ACS

Commuting - LODES

Routing - OSM

Affected populations by the closing of the L train

Clustering block data to determine poverty status

Uber & Lyft are going to have a great ride in Williamsburg and Greenpoint

What are the alternatives?Considering the shuttle would take

20min?

Take a bus shuttle

Use the M line

Use the A line

If the bus shuttle takes more than 20min people will use other routesBut 75,000 riders could still need shuttles

If shuttle takes more than 28min. we might need another bridge53,000 riders will still need to take them. That is 816 buses per dayor a full bus every minute and a half.

WHERE to inform citizensWHERE to add extra serviceWHERE Uber can do marketingWHERE companies will be most affectedWHERE

WHEREWHERE

Everything happens somewhere

Relating things based on where they happen

No need for Foreign Keys!

AND WHERE ARE WE GOING...OR MORE SPECIFIC WHERE WE BELIEVE IT NEEDS TO BE GOING

Telecoms | Banks | Mobile apps | Utilities | Cars | IoT | Earth Observation | Health

Major industries generating huge streams of location data

TelemetryCredit card transactionsLogsMeasurements

GPS LogsLiDARFeature changes….

GeoJINNI GeoTrellis

Open Source is moving...

HIGH PERFORMANCE ANALYTICSPostGIS built on Spark

ETHNIC DIVERSITY OF THE US SHOWING ONE POINT FOR EVERY 100 PEOPLE OF A GIVEN ETHNICITY

Javier de la Torre@jatorreFounder & CEO, CARTO PREDICT THROUGH LOCATION

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