R scripts developed in the frame of the V2MOC projet (Impact de la végétalisation des villes sur le risque vectoriel chez l’Homme et les animaux), as part the PhD thesis of Colombine Bartholomée (IRD, UMR MIVEGEC).

These scripts aim at modeling the spatio-temporal distribution and abundance of the mosquito Aedes Albopictus in the city of Montpellier (France) using multisource fine-scale data (entomological, meteorological, and landscape).

• 1_rawdata_preparation.R : script to pre-process the raw data (cropping, filtering, etc.).
• 2_variables_extraction.R : script to generate the statistical variables for the models.
• 3_data_visualisation.R : script to visualize the associations between the dependent and independent variables.
• 4_bivariate_model_building.R : script for the generation of the bivariate models (cross correlation maps, etc).
• 5_bivariate_model_interpretation.R : script to visualize graphically the outputs of the bivariate models.
• 6_multivariate_model_building.R : script for the generation of the multivariate models (random forests).
• 7_multivariate_model_interpretation.R : script to visualize graphically the outputs of the multivariate models (variable importance plots, partial dependence plots).
• function.R : set of functions used in the model generation and interpretation scripts.

The associated publication is in preparation.