Modern Statistical Methods for Ecology
Modern Statistical Methods for Ecology
批准号:
1405174
负责人:
Geof Givens
金额:
$1.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2014
资助国家:
美国
项目状态:
已结题
起止时间:
2014-06-01 至 2015-11-30
中文摘要
该奖项支持参加2014年Graybill/ENVR联合会议的初级研究人员,该会议名为“生态的现代统计方法”,由科罗拉多州立大学(CSU)统计学系和美国统计协会统计与环境分会(ENVR)共同主办,于2014年9月7日至10日在科罗拉多州柯林斯堡的CSU举行。统计生态学的研究人员试图了解动物、植物和人类是如何相互作用的,以及如何与环境相互作用的,他们使用的经验方法既反映了定量数据中固有的证据,也反映了不确定性。这类研究既涉及用于数据分析的先进统计技术的理论发展,也涉及将这些技术应用于复杂而重要的现实世界数据集。在教育方面,会议旨在提高研究生和新兴统计学家的知识基础和热情,鼓励他们继续在统计领域学习和职业生涯。在科学上,生态学的理论和应用统计结果的不断发展,推动了这一学科的知识水平,传播到相关的统计研究领域,并通过合作和应用服务于更大的科学界。包括来自NOAA和USGS等政府机构的参与者提供了一个途径,可以立即影响支持国家和地区政策制定的科学基础。当今许多最紧迫的问题都与人为造成的环境和生态影响有关。统计生态学为解释这种科学并将其转化为良好的政策提供了方法和语言。通过为重要生态系统的研究和管理提供科学的统计基础,统计生态学领域为社会提供了对人类、各种规模的社区及其所居住的世界的未来的见解。会议包括短期课程,主题演讲和邀请演讲,以及海报会议。演讲者的主题涵盖统计生态学的不同领域,包括:丰度估计技术;动物运动模型;生物多样性估算与模型;之前的方法;生态系统的确定性和随机模型;距离抽样方法;生态监测;人口趋势估计;基于单独的建模;景观基因组学;多尺度模型;种群动态建模;生态问题的空间模型;物种分布模型;野生动物疾病建模。会议的目标是为统计研究人员、从业人员和在这一领域工作的研究生提供一个机会,以产生和分享新的创造性研究的想法;接受实践训练;激发专业人脉机会;并为年轻研究人员的工作提供机会。会议网站:www.stat.colostate.edu/graybillconference/
英文摘要
This award supports the participation of junior researchers in the joint 2014 Graybill/ENVR Conference, titled "Modern Statistical Methods for Ecology" and co-sponsored by the Department of Statistics at Colorado State University (CSU) and the American Statistical Association Section on Statistics and the Environment (ENVR), occurring September 7-10, 2014, at CSU in Fort Collins, Colorado. Researchers in statistical ecology seek to understand how animals, plants and humans interact with each other and with the environment, using empirical methods that reflect both the evidence and uncertainty inherent in quantitative data. Such research involves both the theoretical development of advanced statistical techniques for data analysis, and the application of such techniques to complex and important real-world datasets. With respect to education, the conference aims to enhance the knowledge base and enthusiasm of graduate students and emerging statisticians, encouraging them to pursue continued study and professional lives in the field of statistics. Scientifically, the continued development of theoretical and applied statistical results in ecology advances the state of knowledge in this discipline, propagates to related statistical research areas, and serves the greater scientific community through collaboration and application. Inclusion of participants from government agencies like NOAA and USGS provides an avenue to immediately impact the scientific foundations supporting national and regional policy making. Many of today's most pressing problems concern human-induced environmental and ecological impacts. Statistical ecology provides the methods and language for interpreting such science and translating it into good policy. By providing a scientific, statistical basis for the study and management of important ecological systems, the field of statistical ecology provides society with insights into what lies ahead for people, communities of all scales, and the world they inhabit.The meeting includes a short course, keynote and invited talks, and a poster session. Speaker topics span diverse areas of statistical ecology including: abundance estimation techniques; animal movement models; biodiversity estimation and models; capture-recapture methods; deterministic and stochastic models for ecosystems; distance sampling methods; ecological monitoring; estimation of population trends; individual-based modeling; landscape genomics; multi-scale models; population dynamics modeling; spatial models for ecological problems; species distribution models; and wildlife disease modeling. The goal of the conference is to provide an opportunity for statistical researchers, practitioners and graduate students working in this area to generate and share ideas for new creative research; to receive practical training; to stimulate professional networking opportunities; and to provide young researchers exposure for their work. Conference website: www.stat.colostate.edu/graybillconference/
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会议论文
CAREER: Bayesian Simulation Modeling
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批准号:9875508
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项目类别:Continuing Grant
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资助金额:$20.0万
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财政年份:1999
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负责人:Geof Givens
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依托单位:
海外基金