Rural Ecotourism Dataset for the Upper Reaches of the Yangtze River Economic Belt

Rural ecotourism competitiveness refers to the ability of rural areas, relying on a sound ecological environment and taking rural natural landscapes and cultural landscapes as core resources, to effectively identify the development level and potential advantages of rural ecotourism, and to reveal differences among townships across various dimensions. Its construction can provide data support for the spatialization of regional rural ecotourism, balanced comprehensive development, and the implementation of rural revitalization strategies.

Based on 16 evaluation factors across four dimensions—natural environment, ecological resources, infrastructure, and humanistic economy—we constructed a township‑scale rural ecotourism competitiveness dataset. The competitiveness was measured using a random forest model and the SHAP interpretable machine learning method, yielding spatial distribution results. The temporal scope is 2020, the spatial scope covers the upper reaches of the Yangtze River Economic Belt, the temporal resolution is annual, the spatial resolution is 30 m × 30 m, and the data format is GeoTiff.