Abstract
The paper presents a computational model of spatialautocorrelation based on a Voronoi-like auxiliary structure. It shows that the Voronoi-like partition of map objects can be used to discern spatial patterns (e.g. clustered or dispersed) of geographic phenomena. In this paper, we transform the problem of characterizing the patterns for different geometry types (i.e. points, curves, and polygons) into a process of calculating spatial autocorrelation based on the auxiliary partition units. The method is shown to be successful for the designated tasks.
Original language | English |
---|---|
Title of host publication | 2009 Sixth International Symposium on Voronoi Diagrams |
Subtitle of host publication | 23-26 June 2009, Copenhagen, Denmark |
Editors | F. Anton |
Place of Publication | Piscataway, NJ |
Publisher | IEEE |
Pages | 118-126 |
ISBN (Electronic) | 978-0-7695-3781-8 |
ISBN (Print) | 978-0-7695-3781-8 |
DOIs | |
Publication status | Published - 2009 |
Event | 6th International Symposium on Voronoi Diagrams 2009 - Copenhagen, Denmark Duration: 23 Jun 2009 → 26 Jun 2009 Conference number: 6 |
Conference
Conference | 6th International Symposium on Voronoi Diagrams 2009 |
---|---|
Country/Territory | Denmark |
City | Copenhagen |
Period | 23/06/09 → 26/06/09 |
Keywords
- ADLIB-ART-370
- GIP