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Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China (open access)

Selecting Inter-city Transportation Routes in Complex Terrains Using Quantitative Methods – A Case Study from Northern Yunnan, China

Article identifies inter-city transportation routes in complex terrains using quantitative methods in GIS.
Date: March 27, 2020
Creator: Dong, Pinliang; Xia, Jisheng & Zhao, Zhifang
System: The UNT Digital Library
Exploring the socio-economic and environmental components of infectious diseases using multivariate geovisualization: West Nile Virus (open access)

Exploring the socio-economic and environmental components of infectious diseases using multivariate geovisualization: West Nile Virus

Article focusing on West Nile Virus (WNV), a mosquito borne pathogen, as a case study for spatial data visualization of environmental characteristics of a vector’s habitat alongside human demographic composition for understanding potential public health risks of infectious disease.
Date: March 2, 2020
Creator: Kala, Abhishek K.; Atkinson, Samuel F. & Tiwari, Chetan
System: The UNT Digital Library
Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils (open access)

Urban edge trees: Urban form and meteorology drive elemental carbon deposition to canopies and soils

Article asserts that urban tree canopies are a significant sink for atmospheric elemental carbon (EC)--and air pollutant that is a powerful climate-forcing agent and threat to human health. The authors' findings indicate that complex configurations of roads, buildings, and vegetation produce “urban edge trees” that contribute to heterogeneous EC deposition patterns across urban systems, with implications for greenspace planning.
Date: September 27, 2022
Creator: Ponette-González, Alexandra G.; Chen, Dongmei; Elderbrock, Evan; Rindy, Jenna E.; Barrett, Tate E.; Luce, Brett W. et al.
System: The UNT Digital Library
What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection (open access)

What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection

Article describes how the low-cost sensor has changed the air quality monitoring paradigm with the capacity for efficient network expansion and community engagement. This study comprehensively assessed ten widely used data techniques, namely AdaBoost, Bayesian ridge, gradient tree boosting, K-nearest neighbors, Lasso, multivariable linear regression, neural network, random forest, ridge regression, and support vector machine.
Date: June 27, 2022
Creator: Liang, Lu & Daniels, Jacob
System: The UNT Digital Library