Results 81 to 90 of about 1,224 (159)

Scatter density map of fitting PM_2.5 values estimated by SLR, GWR and GTWR models and PM_2.5 values monitored by stations in the four seasons of 2015 to 2020.

, 2023
Scatter density map of fitting PM2.5 values estimated by SLR, GWR and GTWR models and PM2.5 values monitored by stations in the four seasons of 2015 to 2020.
Nan Xia (600675), Yitu Guo (15453198), Wenyue Hai (12378729), Weilin Quan (15453195), Jimi Song (15453201), Bowen Zhang (595078)   +5 more
core   +1 more source

Reciprocal growth and spatial spillover: From the perspective of agricultural trade competitiveness in countries along the BRI route

International Review of Economics & Finance
Based on the cross-country panel data from 2007 to 2024, this study employs the entropy weight model, PSM-DID method, DID spatial model, and Geographically and Temporally Weighted Regression (GTWR) Model to evaluate how the ''Belt and Road'' initiative ...
Jingbo Ning, Yuhan Gao, Lei Dou
doaj   +1 more source

Understanding China’s Information Technology Policy System Through Policy Citation Networks: A Spatio-Temporal Diffusion Analysis

Systems
Focusing on China’s information technology policy system, this study investigates the spatio-temporal evolution of policy–reference patterns and their implications for policy diffusion.
Fang Yu, Hongyu Zhao, Xiaorong He
doaj   +1 more source

Identifying Influential Spatial Drivers of Forest Fires through Geographically and Temporally Weighted Regression Coupled with a Continuous Invasive Weed Optimization Algorithm

Fire
Identifying the underlying factors derived from geospatial and remote sensing data that contribute to forest fires is of paramount importance. It aids experts in pinpointing areas and periods most susceptible to these incidents.
Parham Pahlavani, Amin Raei, Behnaz Bigdeli, Omid Ghorbanzadeh   +3 more
doaj   +1 more source

The Trade-Offs and Constraints of Watershed Ecosystem Services: A Case Study of the West Liao River Basin in China

Land
Clarifying the spatiotemporal trade-offs between the supply and demand of ecosystem services is critical for regional ecological security and sustainable development.
Ran Lyu, Meng Yuan, Xiao Fu, Mingfang Tang, Laiye Qu, Zheng Yin, Gang Wu   +6 more
doaj   +1 more source

Pemodelan Seasonal Difference-Geographically and Temporally Weighted Regression (SD-GTWR) (Studi Kasus Demam Berdarah Dengue di kota Malang)

, 2018
Seasonal Differences - Geographically and Temporally Weighted Regression (SD-GTWR) modeling have been extended to evaluate the presence of spatial heterogeneity and temporal heterogeneity with respect to seasonal characteristics, so as to analyze the ...
Indrayani, A. Fahmi
core  

Geographical and temporal weighted regression: examining spatial variations of COVID-19 mortality pattern using mobility and multi-source data

Computational Urban Science
The COVID-19 pandemic has had profound adverse effects on public health and society, with increased mobility contributing to the spread of the virus and vulnerable populations, such as those with pre-existing health conditions, at a higher risk of COVID ...
Nanzhou Hu, Ziyi Zhang, Nicholas Duffield, Xiao Li, Bahar Dadashova, Dayong Wu, Siyu Yu, Xinyue Ye, Daikwon Han, Zhe Zhang   +9 more
doaj   +1 more source

Optimizing the landscape pattern of blue-green space is more effective than simply increasing the area for cooling effect

Frontiers in Forests and Global Change
BackgroundBlue-Green Space (BGS) is critical for mitigating the Urban Heat Island (UHI) effect amid rapid global urbanization. However, the comparative cooling efficiency of BGS landscape configuration versus simple area expansion remains understudied ...
Guanglong Bao, Xiaohan Sun, Chenchen Fan, Wenwen Li, Xiaoming Li, Fei Yan, Tianran Zhao   +6 more
doaj   +1 more source

Exploring Travel Mobility in Integrated Usage of Dockless Bike-Sharing and the Metro Based on Multisource Data

ISPRS International Journal of Geo-Information
Dockless bike-sharing (DBS) is a green and flexible travel mode, which has been considered as an effective way to address the first-and-last mile problem. A two-level process is developed to identify the integrated DBS–metro trips.
Hui Zhang, Yu Cui, Yanjun Liu, Jianmin Jia, Baiying Shi, Xiaohua Yu   +5 more
doaj   +1 more source

Evaluation of linear, nonlinear, and hybrid models for predicting PM2.5 based on a GTWR model and MODIS AOD data

, 2019
Ground monitoring station data of PM2.5 are not available for each day and all places in urban areas. In this research, taking Tehran as an example, a geographically and temporally weighted regression (GTWR) model was utilized to investigate the spatial ...
Amanollahi, J., Tzanis, C.G., Mirzaei, M.   +2 more
core   +1 more source