World Heritage documents reveal persistent gaps between climate awareness and local action

This toolkit is designed for processing and analyzing documents from the UNESCO World Heritage Centre. It supports batch scraping, downloading, verification, and conversion of PDF files into plain text, as well as the extraction of climate-related keywords. The cleaned text outputs are suitable for downstream tasks such as text mining and climate-awareness analysis. The documents are sourced from publicly available official reports. The analysis section includes a GLM model implemented in R, along with evaluation tools such as correlation heatmaps, ICC agreement analysis, and MCC-based binary classification assessment. All tools support customizable labels and visualization of confidence intervals. Some components require non-standard Python libraries such as pdfminer.six and pingouin.