Dataset: Dalaca pallens larval infestation across agroecological gradients in Aysén (Chile), 2021–2025

## DescriptionThis dataset contains field observations and analytical code used to study the spatial redistribution of *Dalaca pallens* infestations across agroecological gradients in the Aysén Region (Chile) between 2021 and 2025.

The analysis is based on a Principal Component Analysis (PCA) framework in which 2025 observations are projected onto a reference environmental space defined from 2021 data, allowing direct temporal comparison within a fixed multivariate structure.

## Contents

### /data- **PCA_2021.csv**: Field observations used to define the reference PCA space (n = 84)- **PCA_2025.csv**: Field observations projected onto the 2021 PCA space (n = 49)

### /code- **pca_projection_analysis.py**: Python script implementing:  - PCA computation (reference year)  - projection of new observations  - k-means clustering  - intensity-weighted centroid analysis  - figure generation

### /docs- README.md (this file)- LICENSE.txt