论文标题

数据以智能地球科学为中心:研究议程和机会,位置论文

Data Centred Intelligent Geosciences: Research Agenda and Opportunities, Position Paper

论文作者

Nascimento, Aderson Farias do, Musicante, Martin A., da Costa, Umberto Souza, Carvalho, Bruno M., Nunes, Marcus Alexandre, Vargas-Solar, Genoveva

论文摘要

本文介绍并讨论了我们的愿景,以发展和理论有关以数据为中心的地球科学知识(数据,实验,模型,方法,结论和解释)的最佳实践和新颖方法的理由。这些知识是通过应用统计建模,机器学习和现代数据分析方法来产生的,对地理数据收集。这些问题涉及模型构建,模型评估,预测和预测工作流程中的开放方法论问题。

This paper describes and discusses our vision to develop and reason about best practices and novel ways of curating data-centric geosciences knowledge (data, experiments, models, methods, conclusions, and interpretations). This knowledge is produced from applying statistical modelling, Machine Learning, and modern data analytics methods on geo-data collections. The problems address open methodological questions in model building, models' assessment, prediction, and forecasting workflows.

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