请关注Brain-X（交叉脑科学）主要聚焦与脑/神经科学有交叉融合的多学科前沿！微信公众号二维码Sustainable geospatial analytics and geoinformatics with repeatable, reproducible, and expandable (RRE) framework and designIn recent decades, GIScience has undergone significant development, leading us toward an era that emphasizes sustainability, sharing, repeatability, and reproducibility. Sustainable spatiotemporal data analysis is a critical aspect of understanding social and environmental processes and predicting their long-term outcomes. To achieve this, frameworks and designs that are repeatable, reproducible, and easily re-employed by a wide range of end-users, policymakers, and individuals without technical expertise are required. A sustainable approach to spatiotemporal data analysis involves considering the persistence and sharing of data collection, management, methodologies and workflows. This requires proper training and practice in data collect
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