Shawn D. Taylor
Shawn D. Taylor
Ecologist, Scientific Programmer
Verified email at - Homepage
Cited by
Cited by
Developing an automated iterative near‐term forecasting system for an ecological study
EP White, GM Yenni, SD Taylor, EM Christensen, EK Bledsoe, JL Simonis, ...
Methods in Ecology and Evolution 10 (3), 332-344, 2019
Forecasting biodiversity in breeding birds using best practices
DJ Harris, SD Taylor, EP White
PeerJ 6, e4278, 2018
Comparison of large‐scale citizen science data and long‐term study data for phenology modeling
SD Taylor, JM Meiners, K Riemer, MC Orr, EP White
Ecology 100 (2), e02568, 2019
Automated data‐intensive forecasting of plant phenology throughout the United States
SD Taylor, EP White
Ecological Applications 30 (1), e02025, 2020
A Global, Cross-System Meta-Analysis of Polychlorinated Biphenyl Biomagnification
KD Prince, SD Taylor, C Angelini
Environmental Science & Technology 54 (18), 10989-11001, 2020
Monitoring agroecosystem productivity and phenology at a national scale: A metric assessment framework
DM Browning, ES Russell, GE Ponce-Campos, N Kaplan, AD Richardson, ...
Ecological Indicators 131, 108147, 2021
The Portal Project: a long-term study of a Chihuahuan desert ecosystem
SKM Ernest, GM Yenni, G Allington, E Bledsoe, E Christensen, R Diaz, ...
BioRxiv, 332783, 2020
Estimating flowering transition dates from status-based phenological observations: a test of methods
SD Taylor
PeerJ 7, e7720, 2019
Classification of Daily Crop Phenology in PhenoCams Using Deep Learning and Hidden Markov Models
SD Taylor, DM Browning
Remote Sensing 14 (2), 286, 2022
Constraints and Opportunities for Detecting Land Surface Phenology in Drylands
SD Taylor, DM Browning, RA Baca, F Gao
Journal of Remote Sensing 2021, 2021
Rethinking global carbon storage potential of trees. A comment on Bastin et al.(2019)
SD Taylor, S Marconi
Annals of Forest Science 77 (2), 1-7, 2020
Opportunistically collected photographs can be used to estimate large-scale phenological trends
SD Taylor, RP Guralnick
bioRxiv, 794396, 2019
pyPhenology: A python framework for plant phenology modelling
S David Taylor
The Journal of Open Source Software 3, 827, 2018
portalr: an R package for summarizing and using the Portal Project Data
E Christensen, G Yenni, H Ye, J Simonis, E Bledsoe, R Diaz, S Taylor, ...
Journal of Open Source Software 4 (33), 1098, 2019
Rdataretriever: R Interface to the Data Retriever
H Senyondo, DJ McGlinn, P Sharma, DJ Harris, H Ye, SD Taylor, J Ooms, ...
Journal of Open Source Software 6 (57), 2800, 2021
Influence of climate forecasts, data assimilation, and uncertainty propagation on the performance of near-term phenology forecasts
SD Taylor, EP White
bioRxiv, 2020.08. 18.256057, 2020
NEON NIST data science evaluation challenge: Methods and results of team Shawn
S Taylor
PeerJ Preprints 6, e26967v1, 2018
Multi-scale assessment of a grassland productivity model
SD Taylor, DM Browning
Biogeosciences 18 (6), 2213-2220, 2021
portalcasting: Supporting automated forecasting of rodent populations
JL Simonis, GM Yenni, EK Bledsoe, EM Christensen, H Senyondo, ...
Journal of Open Source Software 7 (72), 3220, 2022
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