世界银行：重新审视全球生物多样性：来自全球生物多样度信息设施的物种发生数据的空间分析（英文版）

This paper builds on recent advances in machine-based pattern recognition to estimate species occurrence maps, using georeferenced open-source data from the Global Biodiversity Information Facility. With currently available data, the estimation algorithm has produced maps for more than 600,000 vertebrates, invertebrates, other animals, vascular plants, and fungi. The algorithm is designed for rapid map updates and estimation of new maps with continued increases in Global Biodiversity Informat