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GISCUP 2016 : Call for Submission


When Oct 31, 2016 - Nov 3, 2016
Where San Francisco, CA, USA
Submission Deadline Aug 22, 2016

Call For Papers

The 5th GIS-focused algorithm competition, GISCUP 2016, co-located with ACM
SIGSPATIAL GIS 2016, October 31-November 3, 2016, San Francisco, CA, USA

Call for Submissions
This year will be the 5th GIS-focused algorithm competition, GISCUP 2016,
co-located with the 2016 ACM SIGSPATIAL GIS conference. ACM SIGSPATIAL hosts
an annual algorithm contest with the goal of encouraging innovation in a
fun way. The winners will be announced at the ACM SIGSPATIAL GIS conference
in November 2016. Contest participants will submit original computer programs
to be evaluated by the contest organizers on a common dataset.

This year’s contest will focus on applying spatial statistics to
spatio-temporal big data in order to identify statistically significant hot
spots using a distributed computing framework and functional programming
languages. With the advent of the ubiquitous collection of spatio-temporal
observational data (e.g., vehicle tracking data), the identification of
unusual patterns of data in a statistically significant manner has become a
key problem that numerous businesses and organizations are attempting to
solve. This year’s SIGPSPATIAL Cup addresses this significant programming

For this year’s contest, each team will utilize a very large collection of
spatio-temporal observational data – the New York City Taxi and Limousine
Commission Yellow Cab trip data. This dataset consists of over one billion
records representing all Yellow Cab taxi trips in New York City between
January 2009 and June 2015. Each record in the dataset contains key
information such as pickup and dropoff date, time, and location (latitude,
longitude), trip distance, passenger count, and fare amount.

Given this dataset, each team will then identify the fifty most
statistically significant dropoff locations by passenger count in both time
and space using the Getis-Ord statistic. Space will be aggregated into a 200m
grid; time will be aggregated into two hour periods. Each team will utilize
the Apache Spark open source cluster computing framework; the tests will be run
on a cluster of twenty five commodity-level PCs (3GHz, quad core), each
equipped with 24 GB of RAM and 3 TB of disk storage. The applications that will
run on top of the Spark framework can be implemented using Java, Python, or
Scala using functional programming techniques. The dataset will be provided
in HDFS as a collection of uncompressed CSV files.

In summary, the key topics that are being addressed in this year’s cup are
the following:

- Spatio-temporal data
- Big data
- Spatial statistics – Hotspot analysis
- Distributed processing
- Functional programming

The top three teams will be provided with cash and or other prizes. In addition
to these prizes, the top three teams will be invited to submit a four page
paper for a contest paper session to be held at the 2016 ACM SIGSPATIAL GIS
conference. These papers will be subject to review and acceptance by the contest
organizers, but it is expected that each of the top three teams will have their
paper in the conference proceedings, a ten-minute presentation in the contest
session, and a poster presentation in the conference’s regular poster session.
At least one team member of each winning team must register for the 2016 ACM
SIGSPATIAL GIS conference.

Important Dates:

July 29th, 2016: Submission of Contributions
August 9th, 2016: Invitation of papers for the best submissions
August 16th, 2016: Submission deadline for invited papers
August 23rd, 2016: Camera-Ready paper deadline

More information about the contest can be found here:

Contest Chairs:

Erik Hoel, Esri,
Martin Werner, Ludwig-Maximilians-University,
Ranga Raju Vatsavai, North Carolina State University,

Contest Masters:

Randall Whitman, Esri,
Mike Park, Esri,

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