Spatial modelling

The increase in international trading and passenger volumes and in imports from a growing number of countries increases the risk of arrival and establishment of invasive species and diseases. Predicting the spread of potential pests or diseases using spatial modelling can assist in managing risk by implementing surveillance strategies and in mitigating the ecological and economic impacts by control/eradication programs.

CEBRA Reports

Title

Project

Chief Investigators

Year

Spatial models for marine biofouling and post-border response

1302A

Burgman, M., Arthur, T., Hollings, T., Elith, J., Barry, S., Kriticos, D., Kearney, M., Yemshanov, D., Brown, P., ten Have, J., Summerson, R., Starkey, C. and Hennecke, B.

10/11/14

Development of a marine spatial analysis model for improved biofouling risk assessment

1402A

Barry, S., Caley, P., Liu, S., Paini, D., Carey, J. and Clark, G.

06/15

Tools and approaches for invasive species distribution modelling for surveillance

1402B

Barry, S., Elith, J., Heersink, D., Caley, P., Kearney, M., Tennant, P. and Arthur, T.

14/11/17

Risk maps for optimising biosecurity surveillance

1502E

 

In progress

ACERA I Reports

Title

Project

Chief Investigators

Year

Do they?/How do they?/Why do they differ? - on finding reasons for differing performances of species distribution models

0603

Elith, J; Wand, M

01/11/08

New spatial analysis methods for improved hazard/risk identification

0603

Elith, J; Wand, M

01/02/08

Application of search theory to weed eradication programs

0806

Cacho, O

16/11/10

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