The Space Symposium attracts thousands of representatives of the space industry, governments, militaries, research agencies and more. The event brings all these groups together in one place to provide an opportunity to examine space issues from multiple perspectives, to promote dialog and to focus attention on critical space issues.
This year, the Space Symposium will be a hybrid in-person/virtual event, with the in-person sessions taking place in Boulder, Colorado, along with a vast exhibition display space which, this year, has been increased by 8,300 square metres.
Survey and Spatial NZ’s 2022 conference will be held from 1 to 3 August at the Novotel Lakeside, Rotorua. The conference is the biggest continuing professional development event of the year for NZ surveying and spatial professionals. It invites sharing of knowledge amongst peers, bringing together networking opportunities for all delegates and is an essential event for professional development and connectivity within the sector.
The choice of Rotorua as the location is apt, given the conference theme of ‘Turning up the Heat’. The organisers aim to stimulate discussion regarding challenges in regional areas, which include climate change and developments outside of Auckland.
The 2024 edition of the International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM 2024) aims to create a meeting point of researchers and practitioners that address new challenges in geo-spatial data sensing, observation, representation, processing, visualization, sharing and managing, in all aspects concerning both ICT as well as management information systems and knowledge-based systems.
The conference welcomes original papers of either practical or theoretical nature, presenting research or applications, of specialised or interdisciplinary nature, addressing any aspect of geographic information systems and technologies, such as:
- Data acquisition and processing
- Remote sensing
- Interaction with spatial-temporal information
- Spatial data mining
- Managing spatial data
- Modelling, representation and visualisation
- GIS and climate change
- Domain applications