Miles Logsdon

I'm a member of the faculty of the School of Oceanography where I serve as the director of the Spatial Analysis Lab. My research and teaching activities are focus on spatial pattern analysis in ecosystem sciences and the applications of Geographic Information Science (GIS) and Remote Sensing in ecosystem models.

I joined the faculty of the School of Oceanography at the University of Washington in 1997 after ten years experience in state government and completion of my Ph.D. studies in Environmental Planning. I teach both the undergraduate and graduate level course in the application of Geographic Information System (GIS), remote sensing, and applied geostatistcs in the study of ecosystem dynamics.  Additionally, I teach courses in seafloor surveying and pattern analysis in seafloor data.  My academic background includes degrees in Forest Management, Physical Geography, Landscape Architecture, and Regional Planning and my research interests center on the analysis of the spatial pattern found in natural processes within our coastal environments.


OCEAN 453 Geospatial Pattern Analysis and Geostatistics

Thursday, November 03, 2011

This course is focused on the Application of Geospatial pattern analysis and the application of geostatistics in Earth Science Research. The course is ideally suited for those students who seek to develop more in-depth skills and an advanced understanding of the concepts behind modern tools for detecting, describing, and estimating spatial patterns and trends. The course specifically addresses ways of investigating the spatial continuity that is an essential feature of natural phenomena.. Prerequisite: either Q SCI 381 or Q SCI 482; OCEAN 452. Offered: jointly with FISH 453; W.

https://catalyst.uw.edu/workspace/mlog/10330

 


OCEAN 497-F Advanced Special Topics Seafloor Mapping

Thursday, September 22, 2011

Ocean497-F Seafloor Mapping (Miles Logsdon)

This course is a "companion" lab class to the Introductory Spatial Information Technology course (Ocean452). Our focus is on the acquisition, processing, and analysis of multibeam sonar data used in the mapping of the ocean seafloor.
Newly developed state of the art technologies have given us the ability to visualize the ocean and seafloor as never before. Marine geospatial data are in continuous demand for scientific studies of marine ecosystems, including atmosphere/ocean interactions, climate change detection, fisheries and habitat assessments, geo-hazards prediction, hydrocarbon exploitation, and identification of human health risks.

In this course we will cover the principles of seafloor survey design, the shipboard data acquisition workflow (Kongsberg: SIS), post-processing software (CARIS: HIPS), production of maps and basic surface analysis in GIS (ESRI: ArcGIS). 

 

https://catalyst.uw.edu/workspace/mlog/22170/


OCEAN 452 Spatial Information Technology in Ecosystem Sciences (3)

Thursday, September 22, 2011

The Spatial Information Technologies of GPS (Global Positioning Systems), GIS (Geographic Information Systems) and Remote Sensing have made major advances in both the theoretical and applied basis for studies in the earth sciences. These technologies have become key components of interdisciplinary research and resources management practice. This course is designed to introduce the use of GPS, GIS and Remote Sensing in the ecosystem sciences.

In this course each student will participate in the collection of georeferenced field measurements and observations (GPS), importing those spatial data into a GIS, classifying the landscape over the spatial extent of those data from remotely sensed imagery, and analyzing their spatial variability. This course offers students an introduction to both terrestrial and marine spatial data acquisition, representation, and analysis in Geographic Information Systems.

This applied course is intended to integrate these technologies in an applied setting, and to motivate students to incorporate these tools and techniques in their future work. This course emphasizes sampling and analysis of spatially-referenced data about the coastal and marine environments, integrating these technologies in an applied research setting. Offered: jointly with FISH 452; A.

 

Class Web Site: https://catalyst.uw.edu/workspace/mlog/1523/