%0 Conference Proceedings
%T Visualization Support for Multi-criteria Decision Making in Geographic Information Retrieval
%+ University of Oldenburg
%+ Institute for Information Technology [Oldenburg] (OFFIS)
%A Kumar, Chandan
%A Heuten, Wilko
%A Boll, Susanne
%Z Part 1: Cross-Domain Conference and Workshop on Multidisciplinary Research and Practice for Information Systems (CD-ARES 2013)
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 1st Cross-Domain Conference and Workshop on Availability, Reliability, and Security in Information Systems (CD-ARES)
%C Regensburg, Germany
%Y Alfredo Cuzzocrea
%Y Christian Kittl
%Y Dimitris E. Simos
%Y Edgar Weippl
%Y Lida Xu
%I Springer
%3 Availability, Reliability, and Security in Information Systems and HCI
%V LNCS-8127
%P 363-375
%8 2013-09-02
%D 2013
%K Local Search
%K Geographic Information Retrieval
%K Geovisualization
%K User Interfaces
%K User-Centered Design
%K Heatmaps
%K Grids
%K Voronoi diagram
%Z Computer Science [cs]
%Z Humanities and Social Sciences/Library and information sciencesConference papers
%X The goal of geographic information retrieval (GIR) is to provide information about geo-entities to end-users and assist their spatial decision making. In the current means of GIR interfaces, users could easily visualize the geo-entities of interest on a map interface via sequential querying or browsing of individual categories. However, there are several decision making scenarios when the user needs to explore and investigate the geospatial database with multiple criteria of interests, which is not well supported by the sequential querying or browsing functionality of current GIR interfaces. There is a need for more sophisticated visual interfaces to enable end-users in discovering knowledge hidden in multi-dimensional geospatial databases. In this paper we discuss some of the HCI issues in realizing such multi-criteria decision making scenario based on the user requirement analysis. To tackle the human centered aspects we propose different heatmap based interfaces to support multi-criteria visualizations in GIR, i.e., to facilitate the knowledge based exploration of geospatial databases with less information overload.
%G English
%2 https://inria.hal.science/hal-01506765/document
%2 https://inria.hal.science/hal-01506765/file/978-3-642-40511-2_26_Chapter.pdf
%L hal-01506765
%U https://inria.hal.science/hal-01506765
%~ SHS
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC
%~ IFIP-TC5
%~ IFIP-WG
%~ IFIP-TC8
%~ IFIP-CD-ARES
%~ IFIP-WG8-4
%~ IFIP-WG8-9
%~ IFIP-LNCS-8127