Calendar

May
13
Fri
Subsurface Utilities and Digital Twins @ Online webinar
May 13 @ 12:00 pm – 1:00 pm
Subsurface Utilities and Digital Twins @ Online webinar

The presenters for this topical webinar will be Dr Craig Roberts, Senior Lecturer in Surveying/GPS/Geodesy at UNSW and Wayne Patterson Director, Spatial Operations at the NSW Department of Customer Service.

Roberts will give a short update on the revision of the Australian Standard, AS_5488 Classification of subsurface utility information in the context of datum modernisation, low-cost multi-GNSS and recent advances in positioning infrastructure in Australia.

Data storage, data distribution and security are identified as challenges suggesting a reimagined data governance will be needed. Could a spatial digital twin assist? What is a spatial digital twin? Is it a BIM? Where does it come from? What is an open data policy? Who can use it? Can I use it? Which datum? How accurate is the data?

Rather than just another PowerPoint webinar, Roberts will interview Patterson in a free-flowing format. Attendees will be invited to ask their own questions live in the chat as the conversation evolves.

This webinar is targeted at surveyors, geospatial users, students and the wider spatial community.

Sep
5
Mon
15th Conference on Spatial Information Theory @ Kobe, Japan
Sep 5 @ 9:00 am – Sep 9 @ 5:00 pm
15th Conference on Spatial Information Theory @ Kobe, Japan

The 15th International Conference on Spatial Information Theory, COSIT 2022, will be held in Kobe, Japan, 5 to 9 September, 2022. Established in 1993, the Conference on Spatial Information Theory (COSIT) is a biennial international conference series concerned with theoretical aspects of space and spatial information, aimed at advancing geographic information science and its emerging research frontiers.

The conference offers three (refereed) submission tracks with double-blind reviews: vision papers, full papers, and short papers. Embedded in the conference will also be an on-site mentoring program for doctoral students.

Contributions can cover a broad set of conference-relevant themes such as (but not limited to):

  • activity-based models of spatial knowledge
  • cognitive aspects of geographic information
  • cognitive-behavioural geography, naive geography
  • data-driven spatial information theory
  • geo-ethics and geo-privacy
  • events and processes in geographic space and time
  • geographic information visualisation and geovisual analytics
  • knowledge representation for space and time
  • navigation and wayfinding of sentient beings and robots
  • ontology of space and time
  • place
  • quality and interoperability of geographic information
  • social and cultural organisation of space
  • spatial and temporal language
  • spatial aspects of social networks
  • spatial decision support, impact of model design
  • spatial (digital) humanities
  • theory-driven spatial machine learning, artificial intelligence of space
  • theories on volunteered geographic information
  • theory and practice of spatial and temporal reasoning
  • user interfaces, virtual spaces and collaborative spaces
Sep
18
Sun
2022 NSGIC Annual Conference @ Embassy Suites by Hilton, Portland, Oregon
Sep 18 @ 9:00 am – Sep 23 @ 5:00 pm
2022 NSGIC Annual Conference @ Embassy Suites by Hilton, Portland, Oregon

The US National States Geographic Information Council (NSGIC) Annual Conference is the place to enhance geospatial excellence and collaboration for state, local, tribal and federal GIS policymakers and coordinators, private sector partners and other leaders in the geospatial ecosystem.

Providing critical and timely networking opportunities, the conference also offers the chance to connect, collaborate, and share with colleagues and partners.

The agenda will comprise:

Roll Call of States — Where state representatives will share a snapshot of achievements, challenges and upcoming activities.
Plenary Sessions — Presentations by and for the NSGIC community exploring challenges, successes and new approaches for collaboration in the geospatial ecosystem.
State Caucus — A roundtable discussion with state and local government representatives to talk frankly about current pressing issues.
GIO Academy — Leadership sessions and networking for state government GIOs and equivalents only (separate registration is required).
Speed Networking — A fun and fast-paced activity where sponsors, who have allocated points, will rotate to complete the circuit of visiting with state reps.
Annual Business Meeting — Including the election of new board members and leadership transition.
Awards Reception — Recognising exceptional work through the Geospatial Excellence Awards & NSGIC Service Awards.

Apr
8
Mon
MIGARS 2024 Conference @ Wellington, Aotearoa New Zealand
Apr 8 – Apr 10 all-day
MIGARS 2024 Conference @ Wellington, Aotearoa New Zealand

The International Association of the IEEE-Geoscience and Remote Sensing Society (GRSS), the IEEE-Computational Intelligence Society (CIS) and the local organising committee invite geospatial and computing professionals to attend the International Conference on Machine Intelligence for GeoAnalytics and Remote Sensing (MIGARS) to be held in Wellington, Aotearoa New Zealand in April 2024.

MIGARS aims to explore the interface of machine intelligence approaches with geosciences, spatial analytics, and remote sensing. With the tremendous developments in remote sensing technology, data acquisitions and sensing platforms, digital data have grown leaps and bounds to stream and are too big by volume, variety, and veracity. The challenge is handling, processing, and automating geo-data from various sources, such as multi-platform remote sensors and IoT devices, informing decision-making and monitoring our planet.

The conference will focus on connecting researchers from various disciplines, including computation/artificial intelligence, engineering, remote sensing, hydrology, agriculture and geosciences, and look for the potential use of intelligent computational approaches for geo-data-based applications and for serving society at large.

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