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05/13/2023
Indexing and Partitioning the Spatial Linear Model for Large Data Sets
We consider four main goals when fitting spatial linear models: 1) estim...
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05/02/2023
Increasing trust in new data sources: crowdsourcing image classification for ecology
Crowdsourcing methods facilitate the production of scientific informatio...
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06/10/2022
Bayesian Design with Sampling Windows for Complex Spatial Processes
Optimal design facilitates intelligent data collection. In this paper, w...
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02/15/2022
SSNbayes: An R package for Bayesian spatio-temporal modelling on stream networks
Spatio-temporal models are widely used in many research areas from ecolo...
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03/05/2021
Bayesian spatio-temporal models for stream networks
Spatio-temporal models are widely used in many research areas including ...
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06/01/2020
Correcting misclassification errors in crowdsourced ecological data: A Bayesian perspective
Many research domains use data elicited from "citizen scientists" when a...
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12/02/2019
SSNdesign – an R package for pseudo-Bayesian optimal and adaptive sampling designs on stream networks
Streams and rivers are biodiverse and provide valuable ecosystem service...
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10/31/2018
A framework for automated anomaly detection in high frequency water-quality data from in situ sensors
River water-quality monitoring is increasingly conducted using automated...
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10/30/2018
Predicting Sediment and Nutrient Concentrations in Rivers Using High Frequency Water Quality Surrogates
A particular focus of water-quality monitoring is the concentrations of ...
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08/15/2018