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. Wikimapia, OpenStreetMap), public initiatives (e.g. Spatial Data Infrastructures, Geo-portals) and private projects (e.g. Google Earth, Microsoft Virtual Earth, 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 , analytical 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 workshop aims at contributing to the development of new techniques and methods to improve the process of knowledge acquisition.
The programme committee especially requests high quality submissions on the following 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.
Each paper will be independently reviewed by 3 programme committee members. Their individual scores will be evaluated by a small sub-committee and result in one of the following final decisions: accepted, or accepted on the condition that suggestions for improvement will be incorporated, or rejected. Notification of this decision will take place on March 2012.
Individuals and groups should submit complete papers (10 to 16 pages).
Accepted contributions will be published in the Springer-Verlag Lecture Notes in Computer Science (LNCS) volumes.
Please adhere strictly to the formatting provided in the template to prepare your paper and refrain from modifying it.
The submitted paper must be camera-ready and formatted according to the rules of LNCS. For formatting information, see the publisher's web site
Submission implies the willingness of at least one of the authors to register and present the paper.
papers should be submitted at:
please don't forget to select " Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AN-MOD 12" workshop from the drop-down list of all workshops.
Papers accepted to "Geographical Analysis, Urban Modeling, Spatial Statistics GEOG-AN-MOD 12" 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-AN-MOD 12" will be invited to submit an extended version of their paper for special issues on International Journals and for the book: Murgante B., Borruso G., (2012) "Geocomputation 2.0" Studies in Computational Intelligence. Springer-Verlag, Berlin
Extended version of previous GEOG-AN-MOD papers have been included in the following special issues:
Transactions on Computational Science Journal VI Vol. 5730-0324, Springer-Verlag, Berlin ISSN: 1611-3349.
Murgante B., Borruso G., Lapucci A. (2009) "Geocomputation and Urban Planning" Studies in Computational Intelligence , Vol. 176. Springer-Verlag, Berlin.
Murgante B., Borruso G., Lapucci A. (2011) "Geocomputation, Sustainability and Environmental Planning" Studies in Computational Intelligence. Springer-Verlag, Berlin
Murgante B., Kanevski M., Marvuglia A. Cellura M. (2012) Special Issue On “Analysing, Modelling and Visualizing Spatial Environmental Data”International Journal of Agricultural and Environmental Information Systems (IJAEIS) IGI Global volume 3(1),
Murgante B., Kanevski M., Marvuglia A. Cellura M. (2012) Special Issue On “Analysing, Modelling and Visualizing Spatial Environmental Data”International Journal of Agricultural and Environmental Information Systems (IJAEIS) IGI Global volume 3(2),
Borruso G., Bertazzon S., Favretto A. Murgante B., Torre C. (2012) “Geographic Information Analysis for Sustainable Development and Economic Planning: New Technologies” IGI Global