GISPro2016 has ended
GIS-Pro 2016: URISA’s 54th Annual Conference
October 31-November 3, 2016
Westin Harbour Castle - Toronto, Ontario

Geospatial information is everywhere, at everyone’s fingertips and URISA as an organization has been at the forefront for the past  50 years, through global technology and social shifts.  In the time it took you to pull up the description of this conference, perhaps on your phone, tablet or laptop, you have already considered the conference location, investigated the good eats and conference events, and mapped all of your indoor and outside activities.  URISA connects members and partners with the educational, networking and collaboration resources that professionals need to evolve geospatial tools and solutions that respond to real places in real time.

Join the GIS Community in Toronto, Ontario for a powerful, collective exchange of GIS knowledge!

Professional Planners: Be sure to note the workshops and sessions that have been approved for AICP-CM credits. Nearly 50 AICP-CM credits were approved for this year’s program!

Creating an attendee profile within Sched DOES NOT REGISTER you for the conference or specific workshops. You must register for the conference here.

Note: If you get a phone call from someone claiming to be from the Westin Harbour Castle saying that there is now a cheaper rate... just hang up. It is a scam.  

avatar for Ecopia Tech Corp - Booth #205

Ecopia Tech Corp - Booth #205

Booth #205
Commercial/Government entities do not have an efficient means to extract the necessary information from the growing amount of earth imaging that is being generated around the world.  Modern extraction techniques are slow, inaccurate, and difficult to manage which limit our ability to harness the power of geospatial information.  Ecopia Tech is an analytics service that helps customers transfer imaging of the earth into vector feature maps that can be used to discover new insights and drive superior business outcomes.  Our proprietary technology uses the latest in remote sensing techniques and machine learning algorithms to automate feature extraction, allowing our organization to process immense amounts of imaging in a timely and efficient manner.