Results 61 to 70 of about 1,224 (159)

Fast Spatio‐Temporally Varying Coefficient Modeling With Reluctant Interaction Selection

open access: yesGeographical Analysis, Volume 57, Issue 3, Page 521-539, July 2025.
ABSTRACT Spatially and temporally varying coefficient (STVC) models are attracting attention as a flexible tool to explore the spatio‐temporal patterns in regression coefficients. However, these models often struggle with balancing the computational efficiency, flexibility, and interpretability of the coefficients.
Daisuke Murakami   +3 more
wiley   +1 more source

The spatiotemporal influence of socioeconomic factors on the number of OpenStreetMap contributors in China

open access: yesOpen Geosciences
The number of OpenStreetMap (OSM) contributors is closely related to both the quality of OSM data and various socioeconomic factors. This study applies the Geographically and Temporally Weighted Regression (GTWR) model to explore the spatiotemporal ...
Li Kaixiang   +4 more
doaj   +1 more source

The Spatiotemporal Evolution of Ecosystem Health and Its Driving Factors in Karst Rocky Desertification Areas A Case Study of Guizhou Province, China

open access: yesEcology and Evolution, Volume 15, Issue 5, May 2025.
The Spatiotemporal Evolution of Ecosystem Health and Its Driving Factors in Karst Rocky Desertification Areas A Case Study of Guizhou Province, China. ABSTRACT Understanding the health status and drivers of ecosystems in karst desertification areas is crucial for sustainable development.
Beibei Zhang, Zhongfa Zhou
wiley   +1 more source

Pemodelan kasus deforestasi di Indonesia menggunakan metode Geographically and Temporally Weighted Regression (GTWR)

open access: yes, 2023
Hutan Indonesia merupakan salah satu yang terluas di dunia. Kasus eksploitasi terhadap hutan di Indonesia yang menyebabkan kasus deforestasi meningkat dengan tinggi.
Imron, M.
core  

Quantifying Uncertainty in ML‐Derived Atmosphere Remote Sensing: Hourly Surface NO2 Estimation With GEMS

open access: yesGeophysical Research Letters, Volume 51, Issue 18, 28 September 2024.
Abstract Accurate estimation of nitrogen dioxide (NO2) levels at high spatio‐temporal resolution is crucial for atmospheric research and public health assessments. This study introduces a novel machine learning (ML) framework enhanced with uncertainty quantification (UQ) to predict hourly NO2 concentrations over East Asia.
Qin He   +4 more
wiley   +1 more source

A Comparison of Regression Methods for Inferring Near‐Surface NO2 With Satellite Data

open access: yesJournal of Geophysical Research: Atmospheres, Volume 129, Issue 16, 28 August 2024.
Abstract Nitrogen dioxide (NO2) is an atmospheric pollutant emitted from anthropogenic and natural sources. Human exposure to high NO2 concentrations causes cardiovascular and respiratory illnesses. The Environmental Protection Agency operates ground monitors across the U.S.
Eliot J. Kim   +6 more
wiley   +1 more source

Components of GTWR model.

open access: yes
Coronavirus disease 2019 (COVID-19) has brought dramatic changes in our daily life, especially in human mobility since 2020. As the major component of the integrated transport system in most cities, taxi trips represent a large portion of residents ...
Shen Zhang (302856)   +2 more
core   +1 more source

Spatiotemporal Dynamics and Driving Mechanisms of Resource–Environment Carrying Capacity in the Yellow River Basin

open access: yesLand
Understanding the spatiotemporal dynamics of resource–environment carrying capacity (RECC) is essential for balancing ecological protection and socioeconomic development in river basins.
Xin Xiang   +3 more
doaj   +1 more source

Distribution and Growth Drivers of Oases at a Global Scale

open access: yesEarth's Future, Volume 12, Issue 4, April 2024.
Abstract The human‐environmental system in drylands is centered on oases. Despite its extent and socio‐ecological importance, understanding the dynamic changes of global oases and their human and environmental driving forces is imperative for sustainable development in drylands under global warming. Nevertheless, the dynamic changes of global oases and
Bochao Cui   +5 more
wiley   +1 more source

Understanding the Spatial Variation of Integrated Use of Ride‐Hailing Services With the Metro

open access: yesJournal of Advanced Transportation, Volume 2024, Issue 1, 2024.
This study aims to explore the spatial heterogeneity of influential factors of integrated use of ride‐hailing service with the metro. Using the operation data of ride‐hailing services in Chengdu, China, first, an identification method of integrated ride‐hailing trips is proposed.
Mingyang Du   +6 more
wiley   +1 more source

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