Zobrazeno 1 - 10
of 178
pro vyhledávání: '"Peterson, Erin P."'
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, Peterson, Erin E., McGree, James, Villa, Cesar A., Leigh, Catherine, Turner, Ryan, Roberts, Cameron, Mengersen, Kerrie
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 prone to technical anomalies that can undermine the trustworthiness o
Externí odkaz:
http://arxiv.org/abs/2409.07667
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) block-kriging (predicting the average value over a region). Each of these
Externí odkaz:
http://arxiv.org/abs/2305.07811
Autor:
Santos-Fernandez, Edgar, Vercelloni, Julie, Price, Aiden, Heron, Grace, Christensen, Bryce, Peterson, Erin E., Mengersen, Kerrie
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 fields to inform data-driven decisions and study challenging problems.
Externí odkaz:
http://arxiv.org/abs/2305.01144
Autor:
Buchhorn, Katie, Mengersen, Kerrie, Santos-Fernandez, Edgar, Peterson, Erin E., McGree, James M.
Optimal design facilitates intelligent data collection. In this paper, we introduce a fully Bayesian design approach for spatial processes with complex covariance structures, like those typically exhibited in natural ecosystems. Coordinate Exchange a
Externí odkaz:
http://arxiv.org/abs/2206.05369
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, McGree, James M., Isaak, Daniel J., Mengersen, Kerrie, Peterson, Erin E.
Spatio-temporal models are widely used in many research areas from ecology to epidemiology. However, most covariance functions describe spatial relationships based on Euclidean distance only. In this paper, we introduce the R package SSNbayes for fit
Externí odkaz:
http://arxiv.org/abs/2202.07166
Autor:
Nayak, Richi, Balasubramaniam, Thirunavukarasu, Kutty, Sangeetha, Banduthilaka, Sachindra, Peterson, Erin
With the recent developments in digitisation, there are increasing number of documents available online. There are several information extraction tools that are available to extract information from digitised documents. However, identifying precise a
Externí odkaz:
http://arxiv.org/abs/2111.03579
Autor:
Kermorvant, Claire, Liquet, Benoit, Litt, Guy, Mengersen, Kerrie, Peterson, Erin, Hyndman, Rob, Jones Jr., Jeremy B., Leigh, Catherine
Real time monitoring using in situ sensors is becoming a common approach for measuring water quality within watersheds. High frequency measurements produce big data sets that present opportunities to conduct new analyses for improved understanding of
Externí odkaz:
http://arxiv.org/abs/2106.01719
Autor:
Santos-Fernandez, Edgar, Hoef, Jay M. Ver, Peterson, Erin E., McGree, James, Isaak, Daniel, Mengersen, Kerrie
Spatio-temporal models are widely used in many research areas including ecology. The recent proliferation of the use of in-situ sensors in streams and rivers supports space-time water quality modelling and monitoring in near real-time. A new family o
Externí odkaz:
http://arxiv.org/abs/2103.03538
Autor:
Santos-Fernandez, Edgar, Peterson, Erin E., Vercelloni, Julie, Rushworth, Em, Mengersen, Kerrie
Many research domains use data elicited from "citizen scientists" when a direct measure of a process is expensive or infeasible. However, participants may report incorrect estimates or classifications due to their lack of skill. We demonstrate how Ba
Externí odkaz:
http://arxiv.org/abs/2006.00741
Autor:
Pearse, Alan R., McGree, James M., Som, Nicholas A., Leigh, Catherine, Hoef, Jay M. Ver, Maxwell, Paul, Peterson, Erin E.
Streams and rivers are biodiverse and provide valuable ecosystem services. Maintaining these ecosystems is an important task, so organisations often monitor the status and trends in stream condition and biodiversity using field sampling and, more rec
Externí odkaz:
http://arxiv.org/abs/1912.00540