1 citations · 2 across the 3 of their papers we have counts for
3 papers
Unsupervised anomaly detection in spatio-temporal stream network sensor data
Edgar Santos-Fernandez, Jay M. Ver Hoef, Erin E. Peterson +6
The use of in-situ digital sensors for water quality monitoring is becoming increasingly common worldwide. While these sensors provide near real-time data for science, the data are…
Indexing and Partitioning the Spatial Linear Model for Large Data Sets
Jay M. Ver Hoef, Michael Dumelle, Matt Higham +2
We consider four main goals when fitting spatial linear models: 1) estimating covariance parameters, 2) estimating fixed effects, 3) kriging (making point predictions), and 4) bloc…
Increasing trust in new data sources: crowdsourcing image classification for ecology
Edgar Santos-Fernandez, Julie Vercelloni, Aiden Price +4
Crowdsourcing methods facilitate the production of scientific information by non-experts. This form of citizen science (CS) is becoming a key source of complementary data in many f…