Search results | J. Murrey Atkins Library

Title: Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
Author: Thill, Jean-Claude, Hatami, Faizeh, Rahman, Md. Mokhlesur, Nikparvar, Behnam
Date Created: 2023
Subjects--Topical: Commuting, Statistics
Description: The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of transportation due to urban sprawl, priority to road construction and America'...

Title: Boosting computational effectiveness in big spatial flow data analysis with intelligent data reduction
Author: Thill, Jean-Claude
Date Created: 2020
Subjects--Topical: Data reduction, Statistics
Description: One of the enduring issues of spatial origin-destination (OD) flow data analysis is the computational inefficiency or even the impossibility to handle large datasets. Despite the recent advancements in high performance computing (HPC) and the read...

Title: A mixed-methods analysis of social-ecological feedbacks between urbanization and forest persistence
Author: Thill, Jean-Claude
Date Created: 2014
Subjects--Topical: City planning, Urban forestry
Description: We examined how social-ecological factors in the land-change decision-making process influenced neighboring decisions and trajectories of alternative landscape ecologies. We decomposed individual landowner decisions to conserve or develop forests ...

Title: Measuring relative opinion from location-based social media : a case study of the 2016 US presidential election
Author: Thill, Jean-Claude, Cai, Tengteng
Date Created: 2020
Subjects--Topical: Presidents--Election, Social media
Description: Social media has become an emerging alternative to opinion polls for public opinion collection, while it is still posing many challenges as a passive data source, such as structurelessness, quantifiability, and representativeness. Social media dat...

Title: Spatio-temporal prediction of the COVID-19 pandemic in US counties : modeling with a deep LSTM neural network
Author: Thill, Jean-Claude, Nikparvar, Behnam, Rahman, Md. Mokhlesur, Hatami, Faizeh
Date Created: 2021
Subjects--Topical: Epidemiology, COVID-19 (Disease)
Description: Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological process that evolves rapidly and is spatially heterogeneous. On the other hand,...

Title: Predicting the upcoming services of vacant taxis near fixed locations using taxi trajectories
Author: Thill, Jean-Claude, Hu, Chunchun
Date Created: 2019
Subjects--Topical: Taxicab industry, Taxicabs
Description: Emerging on-line reservation services and special car services have greatly affected the development of the taxi industry. Surprisingly, taking a taxi is still a significant problem in many large cities. In this paper, we present an effective solu...

Title: Heterogeneous crowd-sourced data analytics
Author: Thill, Jean-Claude
Date Created: 2017
Subjects--Topical: Data mining, Statistics
Description: Advances in computing, communication, storage, and sensing technologies have reshaped the lives of people by changing the way they live, work, interact with their environments, and even socialize. Modern information systems collect valuable inform...

Title: Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Date Created: 2021
Subjects--Topical: Machine learning, COVID-19 (Disease)
Description: The ongoing COVID-19 global pandemic is touching every facet of human lives (e.g., public health, education, economy, transportation, and the environment). This novel pandemic and non-pharmaceutical interventions of lockdown and confinement implem...

Title: Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
Author: Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
Date Created: 2021
Subjects--Topical: Deep learning (Machine learning), COVID-19 (Disease)
Description: Background: Mathematical models are powerful tools to study COVID-19. However, one fundamental challenge in current modeling approaches is the lack of accurate and comprehensive data. Complex epidemiological systems such as COVID-19 are especially...

Title: Diverging trends in US summer dewpoint since 1948
Author: Scheff, Jacob, Burroughs, James Cody
Date Created: 2023
Subjects--Topical: Climatic changes, Earth sciences
Description: Increases in summer humidity are a basic threat to human survival, because the body cannot shed heat by sweating if absolute humidity is too high. However, climate change trends and patterns of extreme humidity have been much less studied than tho...

Title: Critical impact of vegetation physiology on thecontinental hydrologic cycle in response toincreasing CO2
Author: Scheff, Jacob
Date Created: 2018
Subjects--Topical: Climatic changes, Earth sciences
Description: Predicting how increasing atmospheric CO2 will affect the hydro-logic cycle is of utmost importance for a range of applications rang-ing from ecological services to human life and activities. A typical perspective is that hydrologic change is driv...

Title: CO2-plant effects do not account for the gap between dryness indices and projected dryness impacts in CMIP6 or CMIP5
Author: Scheff, Jacob, Mankin, Justin S., Coats, Sloan, Liu, Haibo
Date Created: 2021
Subjects--Topical: Climatic changes, Earth sciences
Description: Recent studies have found that terrestrial dryness indices like the Palmer Drought Severity Index (PDSI), Standardized Precipitation Evapotranspiration Index (SPEI), and Aridity Index calculated from future climate model projections are mostly neg...

Title: An observational analysis quantifying the distance of supercell-boundary interactions in the Great Plains
Author: Magee, Kathleen, Davenport, Casey
Subjects--Topical: Severe storms, Tornadoes
Description: Several case studies and numerical simulations have hypothesized that baroclinic boundaries provide enhanced horizontal and vertical vorticity, wind shear, helicity, and moisture that induce stronger updrafts, higher reflectivity, and stronger low...

Title: Boundaries in ground beetle (Coleoptera : Carabidae) and environmental variables at the edges of forest patches with residential developments
Author: Davis, Doreen E., Gagne, Sara A.
Subjects--Topical: Biodiversity, Urbanization
Description: Background. Few studies of edge effects on wildlife objectively identify habitat edges or explore non-linear responses. In this paper, we build on ground beetle (Coleoptera: Carabidae) research that has begun to address these domains by using tria...

Title: COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
Author: Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
Subjects--Topical: Public health, COVID-19 (Disease), Social distancing (Public health)
Description: This study empirically investigates the complex interplay between the severity of the coronavirus pandemic, mobility changes in retail and recreation, transit stations, workplaces, and residential areas, and lockdown measures in 88 countries aroun...

Title: The role of skills in Islamic financial innovation : evidence from Bahrain and Malaysia
Author: Poon, Jessie, Chow, Yew Wah, Ewers, Michael, Ramli, Razli
Subjects--Topical: Financial institutions, Finance (Islamic law)
Description: A body of work has emerged that examines human capital from the perspective of skills to better understand the types of expertise that influence innovation. The relationship between skill and financial innovation, however, is poorly understood in ...

Title: The relative effects of forest amount, forest configuration, and urban matrix quality on forest breeding birds
Author: Shoffner, Alexandra V., Wilson, Andrew M., Tang, Wenwu, Gagne, Sara A.
Subjects--Topical: Urbanization, Forest birds
Description: Urbanization modifies landscape structure in three major ways that impact avian diversity in remnant habitat: habitat amount is reduced and habitat configuration and matrix quality are altered. The relative effects of these three components of lan...

Title: The socio-ecological factors that influence the adoption of green infrastructure
Author: Tayouga, Sarah J., Gagne, Sara A.
Subjects--Topical: Sustainable buildings, Social ecology
Description: Green infrastructure is defined as any type of infrastructure that has the purpose of lessening the burden of development on the environment and/or has the aim of providing ecosystem services, such as runoff management, air temperature reduction, ...

Title: The traits that predict the magnitude and spatial scale of forest bird responses to urbanization intensity
Author: Paton, Grant D., Shoffner, Alexandra V., Wilson, Andrew M., Gagne, Sara A.
Subjects--Topical: Urbanization, Forest birds
Description: As humans continue moving to urban areas, there is a growing need to understand the effects of urban intensification on native wildlife populations. Forest species in remnant habitat are particularly vulnerable to urban intensification, but the me...

Title: Machine learning of spatial data
Author: Thill, Jean-Claude, Nikparvar, Behnam
Date Created: 2021
Subjects--Topical: Machine learning, Geospatial data
Description: Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that would identify these properties and investigate their influence and methods to...