New technologies for visualization and big data analysis of large land, marine and urban point clouds in the Cloud.

The final IQmulus workshop was organized in Bergen, Norway on September 21, 2016 . The main focus of the workshop was on exploitable outcomes of IQmulus:

- The IQmulus infrastructure,

- Scalablitity of Cloud Processing Big Geospatial Data

- Land scenario

- Marine scenario

- Urban scenario

- User evaluation

The workshop was organized back-to-back with the second Virtual Geoscience Conference (VGC 2016) 22–23 September 2016. http://virtualoutcrop.com/vgc2016.   

The IQmulus project organized a workshop addressing Geospatial, Mathematical and Linked Big Data on June 28, 2016 from 14:00-19:00 in Evoluon in Eindhoven (Meeting room: Saturn). The workshop was organized back-to-back with European Data Forum 2016 in Eindhoven on June 29 and 30. http://2016.data-forum.eu/.

The workshop addresses aspects of big data where geolocation, geospatial or mathematical structures have a central role. The workshop was a follow up of a similar workshop organized back-to-back with EDF2015, http://iqmulus.eu/iqmulus-workshops/workshop-on-big-geospatial-data.

To reach beyond the workshop participants IQmulus sonsored EDF 2016 and organized a booth in the exibition area of EDF 2016 to reach out to the more than thousand participants at EDF 2016 .

November 18, the day after European Data Forum 2015 in Luxembourg, IQmulus co-organized with Linked Data Europe a workshop on "Big Geospatial Data" attracting an audience of 31 participants. 

The second IQmulus Workshop, entitled GeoBigData'15, was organized during the ISPRS Geospatial Week 2015. It hosted two keynotes, the IQmulus Processing Contest (IQPC) special session with 3 track presentations and 17 technical presentations : 3 30' talks and 14 posters with short talks.

The IQmulus Workshop consisted of two keynotes, three presentations discussing a so-called IQmulus contest track and three technical sessions, containing a total of ten technical presentations that were selected based on a submitted extended abstract. The two keynotes presented possible solutions on how to store and respectively process big spatial data. Peter van Oosterom, from Delft University of Technology, gave a keynote presentation entitled Point Cloud Data Management, discussing methodology for storing and querying a huge airborne laser data archive. In his keynote, Mohamed Mokbel, from the University of Minnesota gave an overview entitled Spatial Hadoop: A MapReduce Framework for Spatial Data, of his solution to process big spatial data by explicitly using the spatial locations of the data.