William W. Hargrove

发表

A "Make a Difference" Experiment to Assess the Value of ARM Data in Carbon Cycle Models

R. A. McCord, William W. Hargrove, Craig C. Brandt, 2002 .

Quantifying Seasonal Patterns in Disparate Environmental Variables Using the PolarMetrics R Package

William W. Hargrove, Bjørn-Gustaf J. Brooks, Danny C. Lee, 2017, 2017 IEEE International Conference on Data Mining Workshops (ICDMW).

An Implementation of the Pathway Analysis Through Habitat (PATH) Algorithm Using NetLogo

James D. Westervelt, William W. Hargrove, 2012 .

Multivariate Geographic Clustering in A Metacomputing Environment Using Globus

Nicholas T. Karonis, William W. Hargrove, G. Mahinthakumar, 2006 .

Identification and Visualization of Dominant Patterns and Anomalies in Remotely Sensed Vegetation Phenology Using a Parallel Tool for Principal Components Analysis

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2013, ICCS.

Quantitative assessment of predicted climate change pressure on North American tree species

William W. Hargrove, Kevin M. Potter, 2013, Math. Comput. For. Nat. Resour. Sci..

Chapter 6: Monitoring Forest Disturbances across Seasons Using the ForWarn Recognition and Tracking System

Steve Norman, William W. Hargrove, Joseph P. Spruce, 2015 .

Parallel Multivariate Spatio-Temporal Clustering of Large Ecological Datasets on Hybrid Supercomputers

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2017, 2017 IEEE International Conference on Cluster Computing (CLUSTER).

EarthInsights: Parallel Clustering of Large Earth Science Datasets on the Summit Supercomputer

Jitendra Kumar, William W. Hargrove, Sarat Sreepathi, 2018 .

Using dendronal signatures for feature extraction and retrieval

Michael W. Berry, William W. Hargrove, Luojian Chen, 2000, Int. J. Imaging Syst. Technol..

Parallel k-Means Clustering for Quantitative Ecoregion Delineation Using Large Data Sets

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2011, ICCS.

Using multivariate clustering to characterize ecoregion borders

William W. Hargrove, Forrest M. Hoffman, W. Hargrove, 1999, Comput. Sci. Eng..

Characterization and Classification of Vegetation Canopy Structure and Distribution within the Great Smoky Mountains National Park Using LiDAR

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2015, 2015 IEEE International Conference on Data Mining Workshop (ICDMW).

Geospatiotemporal data mining in an early warning system for forest threats in the United States

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2010, 2010 IEEE International Geoscience and Remote Sensing Symposium.

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

William W. Hargrove, Steven P. Norman, William M. Christie, 2017, Remote. Sens..

Multivariate Spatio-Temporal Clustering (MSTC) as a Data Mining Tool for Environmental Applications

Richard T. Mills, Salil Mahajan, William W. Hargrove, 2008 .

Data Mining in Earth System Science (DMESS 2011)

Jian Huang, Jitendra Kumar, Ranga Raju Vatsavai, 2011, ICCS.

Representativeness-based sampling network design for the State of Alaska

Richard T. Mills, William W. Hargrove, Forrest M. Hoffman, 2013, Landscape Ecology.

Parallel k-Means Clustering of Geospatial Data Sets Using Manycore CPU Architectures

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2018, 2018 IEEE International Conference on Data Mining Workshops (ICDMW).

Integrating Statistical and Expert Knowledge to Develop Phenoregions for the Continental United States

William W. Hargrove, Jitendra Kumar, Bjørn-Gustaf J. Brooks, 2013 .

Empirical Mining of Large Data Sets Already Helps to Solve Practical Ecological Problems; A Panoply of Working Examples (Invited)

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2013 .

Visual Reconciliation of Alternative Similarity Spaces in Climate Modeling

Yaxing Wei, Cláudio T. Silva, Christopher R. Schwalm, 2014, IEEE Transactions on Visualization and Computer Graphics.

Yaxing Wei, Cláudio T. Silva, Christopher R. Schwalm, 2014, Comput. Graph. Forum.

The Apache Longbow–Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Helicopter Overflight

Rebecca A. Efroymson, Glenn W. Suter, William W. Hargrove, 2008 .

RAIN: A novel approach to computer-aided decision making in agriculture and forestry

John Pickering, William W. Hargrove, James D. Dutcher, 1990 .

Mapcurves: a quantitative method for comparing categorical maps

Paul F. Hessburg, William W. Hargrove, Forrest M. Hoffman, 2006, J. Geogr. Syst..

The Apache Longbow–Hellfire Missile Test at Yuma Proving Ground: Ecological Risk Assessment for Missile Firing

Rebecca A. Efroymson, Glenn W. Suter, Larry L. Pater, 2008 .

Multivariate Spatio-Temporal Clustering: A Framework for Integrating Disparate Data to Understand Network Representativeness and Scaling Up Sparse Ecosystem Measurements

Jitendra Kumar, William W. Hargrove, Forrest M. Hoffman, 2014 .

Cluster Analysis-Based Approaches for Geospatiotemporal Data Mining of Massive Data Sets for Identification of Forest Threats

Jitendra Kumar, William W. Hargrove, Richard Tran Mills, 2011, ICCS.

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

William W. Hargrove, Carlos Reyes, Josiah Heyman, 2018, Remote. Sens..

Multivariate Geographic Cluster Using a Beowulf-style Parallel Computer

William W. Hargrove, Forrest M. Hoffman, W. Hargrove, 1999, PDPTA.

A continental strategy for the National Ecological Observatory Network

William W. Hargrove, Forrest M. Hoffman, David S. Schimel, 2008 .

Use of the Köppen–Trewartha climate classification to evaluate climatic refugia in statistically derived ecoregions for the People’s Republic of China

William W. Hargrove, Forrest M. Hoffman, Henry F. Diaz, 2009 .

Pseudoreplication: a sine qua non for regional ecology

John Pickering, William W. Hargrove, W. Hargrove, 1992, Landscape Ecology.

MECHANISTIC-BASED GENETIC ALGORITHM SEARCH ON A BEOWULF CLUSTER OF LINUX PCS

William W. Hargrove, Forrest M. Hoffman, Jin-Ping Gwo, 2000 .

Predicting spatial distribution of foragers over large resource landscapes : a modeling analysis of the Ideal Free Distribution

William W. Hargrove, W. Hargrove, Jeffrey A. Tyler, 1997 .

A Fractal Landscape Realizer for Generating Synthetic Maps

William W. Hargrove, Forrest M. Hoffman, W. Hargrove, 2002 .

Agro-ecoregionalization of Iowa using multivariate geographical clustering

William W. Hargrove, Matt Liebman, David E. James, 2008 .

A Practical Map-Analysis Tool for Detecting Potential Dispersal Corridors

Rebecca A. Efroymson, William W. Hargrove, Forrest M. Hoffman, 2004, Landscape Ecology.

Understanding the representativeness of FLUXNET for upscaling carbon flux from eddy covariance measurements

Nathan Collier, Jitendra Kumar, William W. Hargrove, 2016 .

NEON: a hierarchically designed national ecological network

William W. Hargrove, Forrest M. Hoffman, W. Hargrove, 2007 .

Review of broad-scale drought monitoring of forests: Toward an integrated data mining approach

William W. Hargrove, Frank H. Koch, Steven P. Norman, 2016 .

Herbivory in Forested Ecosystems

William W. Hargrove, W. Hargrove, D. Crossley, 1986 .

Monitoring Regional Forest Disturbances across the US with Near Real Time MODIS NDVI Products included in the ForWarn Forest Threat Early Warning System

William W. Hargrove, Joseph P. Spruce, Gerald Gasser, 2013 .

PREDICTING CLIMATE CHANGE EFFECTS ON APPALACHIAN TROUT: COMBINING GIS AND INDIVIDUAL-BASED MODELING

William W. Hargrove, D. A. Levine, K. Rose, 2001 .

Biological Field Stations: Research Legacies and Sites for Serendipity

William K. Michener, William W. Hargrove, Robert R. Parmenter, 2009 .

Assessment of MODIS NDVI time series data products for detecting forest defoliation by gypsy moth outbreaks

Kenton W. Ross, Donald Prados, William W. Hargrove, 2011 .

A global framework for monitoring phenological responses to climate change

Ramakrishna R. Nemani, William W. Hargrove, Forrest M. Hoffman, 2005 .

Comparison of MODIS gross primary production estimates for forests across the U.S.A. with those generated by a simple process model, 3-PGS

Nicholas C. Coops, Richard H. Waring, William W. Hargrove, 2007 .

New analysis reveals representativeness of the AmeriFlux network

William W. Hargrove, Forrest M. Hoffman, Beverly E. Law, 2003 .