Search results
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Title
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Accounting for residential propagule pressure improves prediction of urban plant invasion
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Author
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Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
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Date Created
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2016
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Subjects--Topical
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Invasive plants, Urban forestry
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Description
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Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
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Title
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Accounting for residential propagule pressure improves prediction of urban plant invasion
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Author
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Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
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Subjects--Topical
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Invasive plants, Urban forestry
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Description
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Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
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Title
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Accounting for residential propagule pressure improves prediction of urban plant invasion
-
Author
-
Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
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Date Created
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2016
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Subjects--Topical
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Invasive plants, Urban forestry
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Description
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Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
-
-
Title
-
Accounting for residential propagule pressure improves prediction of urban plant invasion
-
Author
-
Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
-
Date Created
-
2016
-
Subjects--Topical
-
Invasive plants, Urban forestry
-
Description
-
Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
-
-
Title
-
Accounting for residential propagule pressure improves prediction of urban plant invasion
-
Author
-
Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
-
Date Created
-
2016
-
Subjects--Topical
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Invasive plants, Urban forestry
-
Description
-
Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
-
-
Title
-
Accounting for residential propagule pressure improves prediction of urban plant invasion
-
Author
-
Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
-
Date Created
-
2016
-
Subjects--Topical
-
Invasive plants, Urban forestry
-
Description
-
Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
-
-
Title
-
Accounting for residential propagule pressure improves prediction of urban plant invasion
-
Author
-
Thill, Jean-Claude, Davis, Amy J. S., Singh, Kunwar K., Meentemeyer, Ross K.
-
Date Created
-
2016
-
Subjects--Topical
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Invasive plants, Urban forestry
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Description
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Plant invasions substantially impact the ecosystem services provided by forests in urbanizing regions. Knowing where invasion risk is greatest helps target early detection and eradication efforts, but developing an accurate predictive model of inv...
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Title
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COVID-19 pandemic severity, lockdown regimes, and people’s mobility : early evidence from 88 countries
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Author
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Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
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Subjects--Topical
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Public health, COVID-19 (Disease), Social distancing (Public health)
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Description
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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...
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Title
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Densification without growth management? Evidence from local land development and housing trends in Charlotte, North Carolina, USA
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Author
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Thill, Jean-Claude, Delmelle, Elizabeth, Zhou, Yuhong
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Date Created
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2014
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Subjects--Topical
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North Carolina--Charlotte, City planning
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Description
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In urban America, land development and residential real estate have passed through a number of different phases during the post-WWII era. In contemporary discourse on urban sustainability, attention is often expressed in terms of intensity of land...
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Title
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Exploring feasibility of multivariate deep learning models in predicting COVID-19 epidemic
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Author
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Thill, Jean-Claude, Janies, Daniel, Chen, Shi, Paul, Rajib
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Date Created
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2021
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Subjects--Topical
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Deep learning (Machine learning), COVID-19 (Disease)
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Description
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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...
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Title
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Heterogeneous crowd-sourced data analytics
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Author
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Thill, Jean-Claude
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Date Created
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2017
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Subjects--Topical
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Data mining, Statistics
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Description
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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...
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Title
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Machine learning of spatial data
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Author
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Thill, Jean-Claude, Nikparvar, Behnam
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Date Created
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2021
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Subjects--Topical
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Machine learning, Geospatial data
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Description
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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...
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Title
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Machine learning on the COVID-19 pandemic, human mobility and air quality : a review
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Author
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Thill, Jean-Claude, Rahman, Md. Mokhlesur, Paul, Kamal Chandra
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Date Created
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2021
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Subjects--Topical
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Machine learning, COVID-19 (Disease)
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Description
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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...
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Title
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Non-linear associations between the urban built environment and commuting modal split : a random forest approach and SHAP evaluation
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Author
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Thill, Jean-Claude, Hatami, Faizeh, Rahman, Md. Mokhlesur, Nikparvar, Behnam
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Date Created
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2023
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Subjects--Topical
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Commuting, Statistics
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Description
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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'...