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GISTAM 2023 will be held in conjunction with ICEIS 2023 and VEHITS 2023.
Registration to GISTAM allows free access to the ICEIS and VEHITS conferences (as a non-speaker).



Although the conference is back to the normal mode (i.e., in-person) speakers are allowed to present remotely if unable to travel to the venue (hybrid support).
 
The International Conference on Geographical Information Systems Theory, Applications and Management aims at creating 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 information communication and technologies (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 specialized or interdisciplinary nature, addressing any aspect of geographic information systems and technologies.




Conference Chair

Lemonia RagiaHellenic Open University, Greece

PROGRAM CO-CHAIRS

Cédric GrueauSetubal Polytechnic University - Instituto Politecnico de Setubal, Portugal
Armanda RodriguesNOVA School of Science and Technology, Universidade Nova de Lisboa, Portugal

Keynote Speakers

Richard LucasAberystwyth University, United Kingdom
Alexander ZipfHeidelberg University, Germany
Costas ArmenakisYork University, Canada
 
Publications:
Science and Technology Publications, Lda

All papers presented at the conference venue
will be available at the SCITEPRESS Digital Library
(consult SCITEPRESS Ethics of Publication)

Springer Nature Computer Science

A short list of best papers will be invited
for a post-conference special issue of the
Springer Nature Computer Science Journal

Communications in Computer and Information Science

It is planned to publish a short list of revised and
extended versions of presented papers with
Springer in a CCIS Series book

In Cooperation with:

Proceedings will be submitted for evaluation for indexing by:


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