This repository contains data, code, predictions, and figures associated with a spatial modeling study of mosquito abundance in Haiti.
Mosquito Datasets (6 CSV files):
Each species-specific dataset includes date, coordinates, mosquito counts, and environmental covariates extracted using buffer zones tailored to each species' dispersal range.
Available files:
Contains environmental covariate raster stacks used in the analysis:
Manuscript Figures:
Supplemental Materials:
Annual average predictions for each species (11 files per species):
Access by species:
Vector Graphics: PNG and SVG versions of mean abundance and presence maps (24 files)
Month-specific predictions (Abundance, Presence, and Presence SD for each month):
Explore species-specific predictions through interactive web maps. Click on any species below to view the interactive visualization:
HTML files are also available for download from the repository.
git clone https://github.com/IanPsheaSmith/Haiti_MosqAbundanceStudy.git
Haiti_MosqAbundance.Rmd in RStudioIf you use this code or data, please cite the associated manuscript:
[Manuscript Citation Placeholder ??? update with DOI or full citation when available]
For questions, please contact:
Ian Pshea-Smith
Email: ismithgh@umich.edu
View on GitHub | Last updated: December 2025