William W. Hargrove

Orcid: 0000-0002-9830-0022

According to our database1, William W. Hargrove authored at least 20 papers between 1999 and 2018.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2018
Monitoring of Land Use/Land-Cover Changes in the Arid Transboundary Middle Rio Grande Basin Using Remote Sensing.
Remote. Sens., 2018

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2017
Spring and Autumn Phenological Variability across Environmental Gradients of Great Smoky Mountains National Park, USA.
Remote. Sens., 2017

Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers.
Proceedings of the 2017 IEEE International Conference on Cluster Computing, 2017

2015
Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling.
IEEE Trans. Vis. Comput. Graph., 2014

SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data.
Comput. Graph. Forum, 2014

2013
Quantitative assessment of predicted climate change pressure on North American tree species.
Math. Comput. For. Nat. Resour. Sci., 2013

Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis.
Proceedings of the International Conference on Computational Science, 2013

2011
Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats.
Proceedings of the International Conference on Computational Science, 2011

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets.
Proceedings of the International Conference on Computational Science, 2011

Data Mining in Earth System Science (DMESS 2011).
Proceedings of the International Conference on Computational Science, 2011

2010
Geospatiotemporal data mining in an early warning system for forest threats in the United States.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010

2006
Mapcurves: a quantitative method for comparing categorical maps.
J. Geogr. Syst., 2006

2000
Using dendronal signatures for feature extraction and retrieval.
Int. J. Imaging Syst. Technol., 2000

1999
Using multivariate clustering to characterize ecoregion borders.
Comput. Sci. Eng., 1999

Parallel computing with Linux.
XRDS, 1999

Multivariate Geographic Clustering in A Metacomputing Environment Using Globus.
Proceedings of the ACM/IEEE Conference on Supercomputing, 1999

Multivariate Geographic Cluster Using a Beowulf-style Parallel Computer.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 1999


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