This research is funded by U.S.EPA – Science To Achieve Results (STAR) Program Cooperative Agreement. # CR - 829095. Review of Geostatistics in Aquatic Systems Joshua French and Scott Urquhart Department of Statistics, Colorado State University Fort Collins, Colorado.
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
U.S.EPA – Science To Achieve
Results (STAR) Program
# CR - 829095
Review of Geostatistics in Aquatic Systems
Joshua French and Scott Urquhart
Department of Statistics, Colorado State University
Fort Collins, Colorado
Exploring Spatial Correlation in Rivers
Developments Related to Aquatic Systems
Choice of Distance Metric
Oceans, Seas, and Bays
Author: Joshua French
Advisor: Scott Urquhart
Semivariograms are used to explore and quantify spatial correlation of several particle size and biological variables for the longitudinal profile of the Ohio River
The data consisted of between 190 and 235 unique sampling sites (depending on the variable) collected by the Ohio River Valley Sanitation Commission (ORSANCO). The data consisted of both particle size and biological measurements.
977.5 miles along river
Invalid Covariance Structures
Use of in-water distance leads to invalid covariance models:
Rivers and Streams
Sampling Design and Optimization
Summary of Results