Matthew J. Heaton
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View article: Irrigation Zone Delineation by Coupling Neural Networks with Spatial Statistics
Irrigation Zone Delineation by Coupling Neural Networks with Spatial Statistics Open
Variable rate irrigation (VRI) seeks to increase the efficiency of irrigation by spatially adjusting water output within an agricultural field. Central to the success of VRI technology is establishing homogeneous irrigation zones. In this …
View article: Adjusting for Spatial Correlation in Machine and Deep Learning
Adjusting for Spatial Correlation in Machine and Deep Learning Open
Spatial data display correlation between observations collected at neighboring locations. Generally, machine and deep learning methods either do not account for this correlation or do so indirectly through correlated features and thereby f…
View article: Fusing Climate Data Products using a Spatially Varying Autoencoder
Fusing Climate Data Products using a Spatially Varying Autoencoder Open
Autoencoders are powerful machine learning models used to compress information from multiple data sources. However, autoencoders, like all artificial neural networks, are often unidentifiable and uninterpretable. This research focuses on c…
View article: Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes
Minibatch Markov chain Monte Carlo Algorithms for Fitting Gaussian Processes Open
Gaussian processes (GPs) are a highly flexible, nonparametric statistical model that are commonly used to fit nonlinear relationships or account for correlation between observations. However, the computational load of fitting a Gaussian pr…
View article: The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime
The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime Open
River flows change on timescales ranging from minutes to millennia. These vibrations in flow are tuned by diverse factors globally, for example, by dams suppressing multi‐day variability or vegetation attenuating flood peaks in some ecosys…
View article: Irrigation Zone Delineation and Management with a Field-Scale Variable Rate Irrigation System in Winter Wheat
Irrigation Zone Delineation and Management with a Field-Scale Variable Rate Irrigation System in Winter Wheat Open
Understanding spatial and temporal dynamics of soil water within fields is critical for effective variable rate irrigation (VRI) management. The objectives of this study were to develop VRI zones, manage irrigation rates within VRI zones, …
View article: The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime
The Music of Rivers: The Mathematics of Waves Reveals Global Structure and Drivers of Streamflow Regime Open
River flows change on timescales ranging from minutes to millennia. These variations influence fundamental functions of ecosystems, including biogeochemical fluxes, aquatic habitat, and human society. Efforts to describe temporal variation…
View article: Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models
Distributional Validation of Precipitation Data Products with Spatially Varying Mixture Models Open
The high mountain regions of Asia contain more glacial ice than anywhere on the planet outside of the polar regions. Because of the large population living in the Indus watershed region who are reliant on melt from these glaciers for fresh…
View article: Large-Scale Spatial Prediction by Scalable Geographically Weighted Regression: Comparative Study (Short Paper)
Large-Scale Spatial Prediction by Scalable Geographically Weighted Regression: Comparative Study (Short Paper) Open
Although the scalable geographically weighted regression (GWR) has been developed as a fast regression approach modeling non-stationarity, its potential on spatial prediction is largely unexplored. Given that, this study applies the scalab…
View article: Developing High‐Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia
Developing High‐Resolution Population and Settlement Data for Impactful Malaria Interventions in Zambia Open
Foundational high‐resolution geospatial data products for population, settlements, infrastructure, and boundaries may greatly enhance the efficient planning of resource allocation during health sector interventions. To ensure the relevance…
View article: On the Use of Deep Neural Networks for Large-Scale Spatial Prediction
On the Use of Deep Neural Networks for Large-Scale Spatial Prediction Open
For spatial kriging (prediction), the Gaussian process (GP) has been the go-to tool of spatial statisticians for decades. However, the GP is plagued by computational intractability, rendering it infeasible for use on large spatial data set…
View article: The Music of Rivers: How the Mathematics of Waves Reveals Global Drivers of Streamflow Regime
The Music of Rivers: How the Mathematics of Waves Reveals Global Drivers of Streamflow Regime Open
River flow changes on timescales ranging from minutes to millennia. These variations influence fundamental functions of ecosystems, including biogeochemical fluxes, aquatic habitat, and human society. Efforts to describe temporal variation…
View article: Spatio-temporal models for large-scale indicators of extreme weather
Spatio-temporal models for large-scale indicators of extreme weather Open
The changing global climate has sparked an interest in how these changes are affecting the intensity and frequency of extreme weather events such as thunderstorms and tornadoes because these extreme events pose a significant threat to life…
View article: Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty Open
Bronchiolitis (inflammation of the lower respiratory tract) in infants is primarily due to viral infection and is the single most common cause of infant hospitalization in the United States. To increase epidemiological understanding of bro…
View article: Justification for considering zero-inflated models in crash frequency analysis
Justification for considering zero-inflated models in crash frequency analysis Open
One common challenge of modeling intersection related crash data is the high proportion of sites with zero crashes. Extensive research has been done on appropriate methods to handle excess zeroes. There is some reluctance to use zero-infla…
View article: Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data
Physically constrained spatiotemporal modeling: generating clear-sky constructions of land surface temperature from sparse, remotely sensed satellite data Open
Satellite remote-sensing is used to collect important atmospheric and geophysical data at various spatial resolutions, providing insight into spatiotemporal surface and climate variability globally. These observations are often plagued wit…
View article: Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed
Bayesian Multi-Scale Spatio-Temporal Modeling of Precipitation in the Indus Watershed Open
The Indus watershed is a highly populated region that contains parts of India, Pakistan, China, and Afghanistan. Changes in precipitation patterns and rates of glacial melt have significantly impacted the region in recent years, and climat…
View article: Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty Open
Bronchiolitis (inflammation of the lower respiratory tract) in infants is primarily due to viral infection and is the single most common cause of infant hospitalization in the United States. To increase epidemiological understanding of bro…
View article: Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data
Estimating seasonal onsets and peaks of bronchiolitis with spatially and temporally uncertain data Open
RSV bronchiolitis (an acute lower respiratory tract viral infection in infants) is the most common cause of infant hospitalizations in the United States (US). The only preventive intervention currently available is monthly injections of im…
View article: Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty Open
Bronchiolitis (inflammation of the lower respiratory tract) in infants is primarily due to viral infection and is the single most common cause of infant hospitalization in the United States. To increase epidemiological understanding of bro…
View article: Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty
Modeling Bronchiolitis Incidence Proportions in the Presence of Spatio-Temporal Uncertainty Open
Bronchiolitis (inflammation of the lower respiratory tract) in infants is primarily due to viral infection and is the single most common cause of infant hospitalization in the United States. To increase epidemiological understanding of bro…
View article: Antibiotic resistance is lower in Staphylococcus aureus isolated from antibiotic-free raw meat as compared to conventional raw meat
Antibiotic resistance is lower in Staphylococcus aureus isolated from antibiotic-free raw meat as compared to conventional raw meat Open
The frequent use of antibiotics contributes to antibiotic resistance in bacteria, resulting in an increase in infections that are difficult to treat. Livestock are commonly administered antibiotics in their feed, but there is current inter…