This R code repository is dedicated to Species Distribution Modeling (SDM) of Heliconius butterflies, a genus renowned for its Müllerian mimicry and diverse wing patterns across the Neotropics . SDM is a powerful ecological tool used to predict the geographic distribution of species or their phenotypes based on environmental variables and known occurrence records . This resource provides the computational framework to investigate the environmental drivers shaping the distribution of Heliconius phenotypes, particularly focusing on species like Heliconius erato and Heliconius melpomene . The scripts are developed in R, leveraging its robust capabilities for statistical modeling and spatial analysis. SDM typically involves correlating species occurrence data with environmental factors such as temperature, precipitation, and topography . The technical specifications of these scripts would include implementing various SDM algorithms (e.g., MaxEnt, Generalized Additive Models (GAM), Random Forest), performing cross-validation, and generating predictive distribution maps . Performance metrics often include AUC (Area Under the Curve) and TSS (True Skill Statistic), with high values (e.g., AUC > 0.8, TSS > 0.5) indicating strong predictive power . The analysis can reveal how environmental gradients, especially thermal and precipitation variables, strongly drive phenotypic distributions . This digital good is highly relevant for researchers in evolutionary ecology, biogeography, and conservation biology. It enables the study of how environmental conditions influence the spatial distribution of Heliconius phenotypes, the overlap of co-mimic distributions, and the potential impact of climate change on their ranges . Applications include understanding local adaptation, divergence, and speciation processes in these butterflies. The benefits include providing a quantitative approach to analyze complex ecological and phenotypic data, and generating valuable insights into the environmental drivers of biodiversity. The code is compatible with standard R installations and can be used with various environmental datasets and Heliconius occurrence records.