Presented By O'Reilly and Cloudera
Make Data Work
Sept 29–Oct 1, 2015 • New York, NY

Knowledge and the geospatial mixing pot

Andrew Hill (Textile)
2:55pm–3:35pm Wednesday, 09/30/2015
Design, User Experience, & Visualization
Location: 3D 03/10 Level: Non-technical
Tags: geospatial
Average rating: ****.
(4.80, 5 ratings)

The geospatial world has recently been transformed. You no longer need a remote sensing specialist to access real-time imagery from space. Up-to-the minute Twitter data can be harvested with a couple of clicks. And beautiful maps can be created by anyone with a basic understanding of design. So how do maps fit into a future where everything is geospatial and everyone can access it?

We have built an open source tool and a platform that is wiring together geospatial data on the web. Now, 200,000 users are building the next generation of mapping and geospatial applications, by easily tapping into data sources that were historically difficult to use. Journalists are leveraging images taken from satellites to tell breaking news stories, and environmentalists are tracking deforestation from a world away.

Here we will talk about how we have reimagined the way people work with geospatial data to make it easy and powerful for those with little to no programming capability, but still flexible enough for application development.

We will discuss how CartoDB has helped change who creates and consumes maps on the web. We will discuss how we have exposed high-resolution up-to-the-hour satellite data for anyone to access. And we will talk about how we see the future of web-mapping changing, as many of the tools that were once difficult are commoditized, and as more and more data becomes connected on the cloud.

Photo of Andrew Hill

Andrew Hill

Textile

Andrew Hill is cofounder and CEO of Textile, where he is building technology to help data scientists create the future of predictive models from personal location and behavior data. Textile provides an SDK to access over 200+ features extracted in real-time and designed for machine learning. Previously, Andrew was chief science officer at CARTO. He holds a PhD from the University of Colorado, Boulder.