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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Hao Chen Lijun Chen Albright, T.P. Qinfeng Guo |
| Copyright Year | 2006 |
| Description | Author affiliation: Sch. of Remote Sensing Inf. Eng., Wuhan Univ. (Hao Chen) |
| Abstract | The predictive models of the potential distribution of invasive species are important for managing the growing invasive species crises. However, for most species absence data are not available. Presented with the challenge of developing a model based on presence-only information, we developed an improved logistic regression approach using information theory and frequency statistics to produce a relative suitability map. Logistic regression model selection was based on Akaike's information criterion (AIC). Based on the weighted average model we provided the quantile statistics method to compartmentalize the relative habitat-suitability in native ranges. Finally, we used the model and the compartmentalize criterion developed in native ranges to "project" onto exotic ranges to predict the invasive species' potential distribution |
| Sponsorship | IEEE CPS |
| Starting Page | 873 |
| Ending Page | 877 |
| File Size | 689232 |
| Page Count | 5 |
| File Format | |
| ISBN | 0769527027 |
| DOI | 10.1109/ICDMW.2006.96 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2006-12-18 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Geographic Information Systems Biological system modeling Statistical distributions Zoology Predictive models Probability Frequency Remote sensing Logistics Information theory |
| Content Type | Text |
| Resource Type | Article |
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