Prioritizing the risk of plant pests by clustering methods; self-organising maps, k-means and hierarchical clustering

Recorded and potential alien invertebrate pests in Finnish agriculture and horticulture

(2011) I. VÄNNINEN et al.   AGRICULTURAL AND FOOD SCIENCE

Predicting invasion success of forest pathogenic fungi from species traits

(2011) Aurore Philibert et al.   JOURNAL OF APPLIED ECOLOGY

Predicting Invasive Fungal Pathogens Using Invasive Pest Assemblages: Testing Model Predictions in a Virtual World

(2011) Dean R. Paini et al.   PLoS One

Self-Organizing Maps applied to ecological sciences

(2010) Tae-Soo Chon   Ecological Informatics

Using a self-organizing map to predict invasive species: sensitivity to data errors and a comparison with expert opinion

(2010) Dean R. Paini et al.   JOURNAL OF APPLIED ECOLOGY

WHIPPET: A novel tool for prioritizing invasive plant populations for regional eradication

(2010) Gina M. Skurka Darin et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Threat of invasive pests from within national borders

(2010) Dean R. Paini et al.   Nature Communications

Estimating the risk of insect species invasion: Kohonen self-organising maps versus k-means clustering

(2009) Michael J. Watts et al.   ECOLOGICAL MODELLING

Genome sequence of the metazoan plant-parasitic nematode Meloidogyne incognita

(2008) Pierre Abad et al.   NATURE BIOTECHNOLOGY