Abstract
| Original language | English |
|---|---|
| Title of host publication | DG/SUM'07 was an international workshop on distributed and mobile spatial computing held in conjunction with COSIT'07, the Eighth International Conference on Spatial Information Theory |
| Editors | M. Duckham, A. Croitoru, P. Agouris, L. Kulik, E. Tanin |
| Place of Publication | Melbourne, Australia |
| Publisher | University of Melbourne |
| Publication status | Published - 2007 |
| Event | ISSNIP/ISPRS Joint International Workshop on Distributed Geoinformatics and Sensing, Ubiquity, and Mobility - Melbourne, Australia, Australia Duration: 19 Sep 2007 → 23 Sep 2007 |
Conference
| Conference | ISSNIP/ISPRS Joint International Workshop on Distributed Geoinformatics and Sensing, Ubiquity, and Mobility |
|---|---|
| Country | Australia |
| Period | 19/09/07 → 23/09/07 |
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Higher Order Voronoi Diagrams for Disaster and Emergency Management. / Lee, Ickjai; Lee, Kyungmi.
DG/SUM'07 was an international workshop on distributed and mobile spatial computing held in conjunction with COSIT'07, the Eighth International Conference on Spatial Information Theory. ed. / M. Duckham; A. Croitoru; P. Agouris; L. Kulik; E. Tanin. Melbourne, Australia : University of Melbourne, 2007.Research output: Book chapter/Published conference paper › Conference paper
TY - GEN
T1 - Higher Order Voronoi Diagrams for Disaster and Emergency Management
AU - Lee, Ickjai
AU - Lee, Kyungmi
N1 - Imported on 03 May 2017 - DigiTool details were: publisher = Melbourne, Australia: University of Melbourne, 2007. editor/s (773b) = Duckham, M and Croitoru, A and Agouris, P and Kulik, L and Tanin, E ; Event dates (773o) = 19-23 September 2007; Parent title (773t) = ISSNIP/ISPRS Joint International Workshop on Distributed Geoinformatics and Sensing, Ubiquity, and Mobility.
PY - 2007
Y1 - 2007
N2 - In emergency management, (ordered and unordered) k-nearest point queries and k-nearest tessellation (zone) queries are of great importance. GIS or k-nearest graph could answer the former queries, but not for the latter spatial tessellations. This paper introduces an emergency management framework with higher order Voronoi diagrams (order-k Voronoi diagram, ordered order-k Voronoi diagram and k-th nearest Voronoi diagram) providing answers for both point and tessellation queries in various modellings and 'what-if' scenarios. We also demonstrate how the complete higher order Voronoi diagrams can be used for mitigation, preparedness, responseand recovery phase of emergency management in distributed geoinformatics environments.
AB - In emergency management, (ordered and unordered) k-nearest point queries and k-nearest tessellation (zone) queries are of great importance. GIS or k-nearest graph could answer the former queries, but not for the latter spatial tessellations. This paper introduces an emergency management framework with higher order Voronoi diagrams (order-k Voronoi diagram, ordered order-k Voronoi diagram and k-th nearest Voronoi diagram) providing answers for both point and tessellation queries in various modellings and 'what-if' scenarios. We also demonstrate how the complete higher order Voronoi diagrams can be used for mitigation, preparedness, responseand recovery phase of emergency management in distributed geoinformatics environments.
KW - Open access version available
KW - Emergency management
KW - Higher order Voronoi diagram
M3 - Conference paper
BT - DG/SUM'07 was an international workshop on distributed and mobile spatial computing held in conjunction with COSIT'07, the Eighth International Conference on Spatial Information Theory
A2 - Duckham, M.
A2 - Croitoru, A.
A2 - Agouris, P.
A2 - Kulik, L.
A2 - Tanin, E.
PB - University of Melbourne
CY - Melbourne, Australia
ER -