top of page
MY BUTTON
MY BUTTON

In an age of data-driven science, diverse datasets are increasingly being merged to address questions related to global and regional change. This ingetration can introduce statistical biases.

Project

Building on recent developments in spatial science, remote sensing, and landscape ecology, this research investigates the impacts of heterogeneity and data loss on scaling across geographical contexts. Characterizing bias prior to analysis will allow researchers to more reliably determine scaling relationships across landscapes.

May 2017: Students from two Oklahoma High Schools visited the Center for Applications of Remote Sensing at Oklahoma State University as part of National Lab Day.  We had a great time learning about scale and resolution and mapping land cover in Western Oklahoma.  Visit our Outreach page for more information on National Lab Day.

April 2017: We organized two special sessions at the 2017 AAG Meeting in Boston, MA related to measurement methodologies for landscape ecology and land architecture as well as a symposium on the same topic at the 2017 Annual Meeting of the U.S. Chapter of the International Association of Landscape Ecology (US-IALE)

February 2017: The team visited Will Rogers Elementary School in Stillwater, OK to teach students in grades 2-5 about remote sensing and resolution.  Visit our Outreach page for more information or link to the Stillwater News Press article here

 

October 2016: Amy presented a seminar talk titled "Forest Fragmentation: A Fuzzy Look at a Clear-Cut Problem" at Middlebury College for the Woodin Colloquium Series.  You can watch a video recording of the talk here

July 2016: We presented preliminary results at the Spatial Accuracy 2016 conference in Montpellier, France! Conference proceeding paper can be downloaded here

News

bottom of page