in conjunction with The 2013 International Conference on Computational Science and its Applications (ICCSA 2013)
June 24th – June 27th, 2013
International University, Ho Chi Minh City, Vietnam
During the past decades the main problem in geographical analysis was the lack of spatial data availability. Nowadays the wide diffusion of electronic devices containing geo-referenced information generates a great production of spatial data. Volunteered geographic information activities (e.g. OpenStreetMap, Wikimapia), public initiatives (e.g. Open data, Spatial Data Infrastructures, Geo-portals) and private projects (e.g. Google Earth, Bing Maps, etc.) produced an overabundance of spatial data, which, in many cases, does not help the efficiency of decision processes.
The increase of geographical data availability has not been fully coupled by an increase of knowledge to support spatial decisions.
The inclusion of spatial simulation techniques in recent GIS software favoured the diffusion of these methods, but in several cases led to the mechanism based on which buttons have to pressed without having geography or processes in mind.
Spatial modelling, analytic techniques and geographical analyses are therefore required in order to analyse data and to facilitate the decision process at all levels, with a clear identification of the geographical information needed and reference scale to adopt.
Old geographical issues can find an answer thanks to new methods and instruments, while new issues are developing, challenging the researchers for new solutions.
This Conference aims at providing innovative and original contribution to the ongoing debate on the above mentioned issues and at improving the process of knowledge acquisition, by means of the development of new techniques and methods.
Conference Themes Geostatistics and spatial simulation;
Agent-based spatial modelling;
Cellular automata spatial modelling;
Spatial statistical models;
Geovisual analytics, geovisualisation, visual exploratory data analysis;
Visualisation and modelling of track data;
Interaction Simulation Models;
Data mining, spatial data mining;
Spatial Data Warehouse and Spatial OLAP;
Integration of Spatial OLAP and Spatial data mining;
Spatial Decision Support Systems;
Spatial Multicriteria Decision Analysis;
Spatial Rough Set;
Spatial extension of Fuzzy Set theory;
Ontologies for Spatial Analysis;
Spatial data analysis;
Simulation, space-time dynamics, visualization and virtual reality.
Papers should be submitted at: http://ess.iccsa.org
Please don’t forget to select “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” workshop from the drop-down list of all workshops.
Accepted papers to “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” will be published in the ICCSA Conference proceedings, in Springer-Verlag Lecture Notes in Computer Science (LNCS) series, with doi, indexed by Scopus and DBLP.
Participants to “Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AND-MOD 13” will be invited to submit an extended version of their paper for special issues on International Journals and book.
31 January 2013: Deadline for full paper submission
10 March 2013: Notification of acceptance
6 April 2013: Deadline for Camera Ready Papers
June 24-27, 2013: ICCSA 2013 Conference