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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Sina, Md Ibne Gras, Robin |
| Copyright Year | 2011 |
| Description | Author affiliation: School of Computer Science, University of Windsor, Canada (Sina, Md Ibne; Gras, Robin) |
| Abstract | Spatial distribution of population carries important information both in real life and simulated environment. Computation of spatial distribution requires exact location information of individuals of interest, which is almost always impossible in real life. But in a computer simulation such as Individual-Based ecosystem simulation, this becomes possible. Simulators usually simulate a continuous world where there is no starting or ending point, which for the sake of implementation simplicity is made discontinuous. In this paper we present a simple linear time algorithm that uses circular statistics to compute spatial distributions in an Individual-Based ecosystem simulation. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 289872 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781612840628 |
| ISSN | 21606382 |
| e-ISBN | 9781612840635 |
| DOI | 10.1109/ALIFE.2011.5954647 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-04-11 |
| Publisher Place | France |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Biological system modeling Computational modeling Ecosystems Genomics Predator prey systems Bioinformatics |
| Content Type | Text |
| Resource Type | Article |
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