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The ISU Spatial Ecology & Landscape Research Network |
Courses Offered |
A ECL/BOT 570 - |
This course is designed to provide insight into how spatial (and temporal) patterns created by living organisms can be interpreted to develop a deeper understanding of ecological processes. While these patterns cannot be read like tea leaves, they can provide clues into the ecological and evolutionary mechanisms that structure populations, communities, and ecosystems. |
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| A ECL 531 - Conservation Biology Instructor: Diane Debinski Spring 2007 |
This course examines conservation issues from a population and community perspective. Population-level analysis focus on the role of genetics, demography, and environment in determining population viability. Community perspectives focus on topics such as habitat fragmentation, reserve design, biodiversity assessment, and restoration ecology. |
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LA/NREM 465/565 - |
Exploration of issues in landscape ecology and conservation biology relevant to landscape change, design, and planning. Examination of foundational principles and their applications across a continuum of land uses, from wilderness to urban areas. |
NREM 572x - |
Landscape ecology studies the interrelationships between spatial patterns and processes in populations, communities, and ecosystems, thereby providing new approaches to fundamental ecological questions and natural resource management. In this course, we focus on generally broader spatial and temporal scaleson the order of hundreds of square kilometers and days to years. Human influences on natural systems are strongly considered. |
STAT 406 - |
Analysis of spatial data; geostatistical methods and spatial prediction; discrete index random fields and Markov random field models; models for spatial point processes. Emphasis on application and practical use of spatial statistical analysis. Non-major graduate credit. |
STAT 506 - |
Analysis of spatial data; geostatistical methods and spatial prediction; discrete index random fields and Markov random field models; models for spatial point processes. Emphasis on application and practical use of spatial statistical analysis. |
STAT 606 - |
General formulation of spatial models; construction of nonstationary covariance functions; conditional and simultaneous model specification; hierachical spatial models and Bayesian analysis; random measures and point processes; spatio-temporal models. |
