Piero Visconti's repositories
Active-machine-learning
active learning species distribution
integratedSP
Repository of data, software and code for the One Earth article
RLIprojections
R and bash scripts to obtain projected RLI from projected species distribution (EOO, AOO) and life history traits. Methods described in Visconti et al. 2015 Conservation Letters
C-sharp-version-of-Madingley
The most recent C# version of Madingley used by the core development team
Language:C#000
Language:C#000
popforecast
Scripts for fitting and projecting phenomenological population models and obtaining forecast horizons
Language:R000
RLIinput-data-generation
Create species population density dataset from observations and allometric scaling
Language:R000