Making the most of remotely sensed data: Bayesian spatio-temporal models for enhanced natural resource management and design

充分利用遥感数据：用于增强自然资源管理和设计的贝叶斯时空模型

• 批准号: LP100100565
• 负责人: Prof Kerrie Mengersen
• 金额: $ 25.08万
• 依托单位: Queensland University of Technology
• 依托单位国家: 澳大利亚
• 项目类别: Linkage Projects
• 财政年份: 2010
• 资助国家: 澳大利亚
• 起止时间: 2010-10-04 至 2012-12-31
• 项目状态: 已结题
• 来源: https://dataportal.arc.gov.au/RGS/Web/Grants/LP100100565
• 关键词: Making; most; remotely; sensed; data

This research will provide methods for cost-efficient spatio-temporal data collection and analysis, with increased capacity for better decision-making about managing Australia’s natural resources. Through the Linkage partners’ networks, these benefits will be disseminated throughout regional bodies, government agencies and research groups across and outside Australia. The statistical techniques derived in this project will enhance Australia’s capability in the national priority area of mathematical sciences, and will contribute to knowledge in a wide range of disciplines including natural resources, medicine and genetics.

这项研究将为具有成本效益的时空数据收集和分析提供方法，并提高了在管理澳大利亚自然资源方面更好决策的能力。通过连锁合作伙伴的网络，这些好处将在澳大利亚和外部的区域机构，政府机构和研究小组中传播。该项目中得出的统计技术将增强澳大利亚在数学科学的国家优先领域的能力，并将在包括自然资源，医学和遗传学在内的广泛学科中有助于知识。