invacost Goto Github PK
Name: InvaCost
Type: Organization
Bio: This project is based on the global estimate of the economic cost of biological invasions.
Twitter: InvaCost
Location: France
Blog: http://invacost.fr
Name: InvaCost
Type: Organization
Bio: This project is based on the global estimate of the economic cost of biological invasions.
Twitter: InvaCost
Location: France
Blog: http://invacost.fr
repo to accompany InvaCost Activity Sector topic
BIOMOD is a computer platform for ensemble forecasting of species distributions, enabling the treatment of a range of methodological uncertainties in models and the examination of species-environment relationships.
repo to accompany Cuthbert, Diagne et al. Biological invasion costs show insufficient proactive management worldwide.
Github repository to accompany Ahmed, Hudgins, Cuthbert et al. "Managing biological invasions: the cost of inaction"
GitHub repository to accompany Henry et al. "Unveiling the hidden economic toll of biological invasions in the European Union"
repo to accompany Invacost Givers and Takers manuscript
Project-based workflows with GitHub (check this out if you're new to GitHub)
Code and data for the invacost New Zealand manuscript
Frequently Asked Questions on the InvaCost database
Script used to do the analysis of the paper "Biological invasions globally are as costly as natural hazards"
Repository for code associated with North American regional analysis of invacost database
National-level prediction & extrapolation of invasive species costs based on socio-economic traits of countries
Reference list and PDFs of papers produced from the InvaCost project
Temporal trends in number of database entries, number of species reported, and annual costs in different versions of the InvaCost database
R Code to calculate costs of invasive species in Australia
Various online & other resources for learning and improving skills in the R programming language
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