Sign for Notice Everyday    Sign Up| Sign In| Link| English|

Our Sponsors


    GEO-AN-MOD 2012 - 2012 International Workshop on Geographical Analysis, Urban Modeling, Spatial statistics

    View: 719

    Website www.iccsa.org/sessions | Want to Edit it Edit Freely

    Category GEO-AN-MOD 2012

    Deadline: January 15, 2012 | Date: June 18, 2012-June 21, 2012

    Venue/Country: Salvador de Bahia, Brazil

    Updated: 2011-11-02 15:04:19 (GMT+9)

    Call For Papers - CFP

    The growth of spatial data infrastructures produced an increase of geographical data availability at any scale and worldwide. Within a few years, all over the planet many Clearinghouse nodes have been arisen and more rapidly they have become Geo-portals with the main task of facilitating geographic data searching. At the same time the growing of availability of geographic data and information involve also private sector (e.g. Google Earth, Microsoft Virtual Earth, etc.). This growth has not been fully coupled by an increase of knowledge to support spatial decisions. Spatial analytical techniques and geographical analysis and modelling methods are therefore required in order to analyse data and to facilitate the decision process at all levels. 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 is aimed at contributing to the development of new techniques and methods to improve the process on knowledge acquisition.

    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.