A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder by Shihao Pan, Tongyuan Shen, Yongxiang Lian, Li Shi

“…Methods: We propose an innovative algorithm for analyzing task-related EEG microstates based on spatial patterns, Riemannian distance, and a modified deep autoencoder. …”
Get full text

Analyzing regional patterns of mortality data quality and adult mortality for small areas in Brazil, 1980–2010 by Everton Lima, Bernardo Lanza Queiroz, Flavio Freire, Marcos Gonzaga

Get full text

Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic by Adrian Nicoll, Jackie Dawson, Jérôme Marty, Michael Sawada, Luke Copland

“…This study presents a comprehensive comparative analysis of three primary datasets commonly employed to evaluate shipping patterns in Arctic waters: 1) Northern Canada Vessel Traffic Zone (NORDREG), 2) satellite-based Automatic Identification System (S-AIS) from a private provider, and 3) the Arctic Ship Traffic Database (ASTD). …”
Get full text

Spatio-Temporal Variation and Drivers of Land-Use Net Carbon Emissions in Chengyu Urban Agglomeration, China by Wen Wang, Xin Wang, Li Wang, Zhihua Zhang, Daren Lyu

Get full text

A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment by Ioannis Stergiou, Nektaria Traka, Dimitrios Melas, Efthimios Tagaris, Rafaella-Eleni P. Sotiropoulou

“…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. …”
Get full text

Revealing Spatiotemporal Urban Activity Patterns: A Machine Learning Study Using Google Popular Times by Mikel Barrena-Herrán, Itziar Modrego-Monforte, Olatz Grijalba

Get full text

Spatio-temporal patterns and driving factors of green development level in alpine meadow regions: A case study in Gannan Tibetan Autonomous Prefecture by Yan-chen Zhao, Qi-peng Zhang, Hui-ran Zhang, Shuai Huang

Get full text

Long-term mean climate and seasonal variability drive spatial patterns of forage production fluctuation trends across California annual grasslands by Zheng Li, Leslie M Roche, Steven Ostoja, Yufang Jin

“…The RF model based solely on climate variables revealed that spatial patterns of trends in temporal fluctuations of forage production were mostly driven by long-term climatic means; specifically, drier areas with a long-term mean growing season (GS) precipitation below ∼500 mm, or warmer areas with long-term mean minimum temperatures above ∼6 °C, were more likely to exhibit significant increasing trends in forage production fluctuations. …”
Get full text

Solar and Wind 24 H Sequenced Prediction Using L-Transform Component and Deep LSTM Learning in Representation of Spatial Pattern Correlation by Ladislav Zjavka

“…Node-by-node feature selection and dynamical PDE representation of DfL are evaluated along with long-short-term memory (LSTM) recurrent processing of deep learning (DL), capturing complex spatio-temporal patterns. …”
Get full text

Spatial patterns and MRI-based radiomic prediction of high peritumoral tertiary lymphoid structure density in hepatocellular carcinoma: a multicenter study by Juan Chen, Xiong Chen, Kai Fu, Lan Zhou, Shichao Long, Mengsi Li, Linhui Zhong, Aerzuguli Abudulimu, Wenguang Liu, Deng Pan, Ganmian Dai, Yigang Pei, Wenzheng Li

“…This study aimed to elucidate biological differences related to pTLS density and develop a radiomic classifier for predicting pTLS density in HCC, offering new insights for clinical diagnosis and treatment.Methods Spatial transcriptomics (n=4) and RNA sequencing data (n=952) were used to identify critical regulators of pTLS density and evaluate their prognostic significance in HCC. …”
Get full text

Spatial-temporal Changes and Driving Factors of Cultivated Land Intensive Use in Inner Mongolia Autonomous Region from 1985 to 2018 by Liu Dujuan, Liu Fangping, Niu Wenhao, Hao Zhaohui, Sheng Kai, Zhang Bangbang, Wang Zhibin

“…[Methods] Principal component analysis was used to comprehensively evaluate the level of intensive use of arable land for the entire Inner Mongolia region and its 12 leagues, and to reveal its spatial and temporal variation characteristics and driving factors. …”
Get full text

Spatio-temporal evolution analysis of coupling coordination of green finance, digital economy, and carbon emission intensity in the Yangtze River Economic Belt by Yue-Yue Sui, Xing-Fu Zhang

“…Therefore, to promote sustainable economic development, it is necessary to promote GF, DIEC, and CEI in an integrated way, and there are relatively few studies on the synergistic promotion of these three aspects.MethodsUsing the entropy method, the coupling coordination degree model (CCDM), and the spatial analysis method, this study thoroughly examines the spatio-temporal pattern of the coupling and coordination of GF, DIEC, and CEI in the Yangtze River Economic Belt using panel data from 11 provinces in the region from 2013 to 2022.ResultsThe findings demonstrate that: (1) The Yangtze River Economic Belt’s general extent of GF and DIEC advancement is increasing, and the DIEC’s level exhibits a pattern of a declining gradient from the downstream to the upstream areas. (2) The Yangtze River Economic Belt’s CEI is on the decline, with the upstream region having a higher CEI than the middle and downstream regions. (3) Although there is regional diversity, the Yangtze River Economic Belt’s three systems exhibit a growing trend in connection and coordination degree. (4) The Yangtze River Economic Zone shows a declining trend in the spatial difference in the coupling coordination degree (CCD) of the three systems(overall Gini coefficient reduced by 31% from 2013 to 2022), with the upstream showing the smallest discrepancy and the downstream showing the biggest. …”
Get full text

Development of Highway Construction Route Selection Based on Ecological Sensitivity Evaluation and Intervention Optimization Strategy Research by Fan Yang, Yunlan Tang, Suwen Xiong, Chuntian Gu, Yadan Xiao

Get full text

A Streaming Algorithm for Online Estimation of Temporal and Spatial Extent of Delays by Kittipong Hiriotappa, Suttipong Thajchayapong, Pimwadee Chaovalit, Suporn Pongnumkul

“…This paper proposes a streaming algorithm to estimate temporal and spatial extent of delays online which can be deployed with roadside sensors. …”
Get full text

Spatial–Temporal Characterization of Microplastics in the Surface Water of an Urban Ephemeral River by Andre Felton, Salem Farner, Logan Day, Sue Ellen Gibbs-Huerta, Briaunna Zamarripa, Jeffrey Hutchinson

Get full text

Ozone patterns in Maceió: Insights into seasonal and geographic varibility by Amaury de Souza, Celina M. Takemura, Deniz Özonur, Elias Silva de Medeiros, Ivana Pobocikova, Janice F. Leivas, José Francisco de Oliveira-Júnior, Kelvy Rosalvo Alencar Cardoso, Marcel Carvalho Abreu, Wagner Alessandro Pansera, Jose Roberto Zenteno Jimenez, Sneha Gautam

“…This study analyzes the Total Ozone Column (TCO) over six cities in Alagoas, Brazil, aiming to evaluate their spatial and temporal homogeneity and identify seasonal and annual patterns from 2008 to 2016. …”
Get full text

Comparative Analysis of IMERG Satellite Rainfall and Elevation as Covariates for Regionalizing Average and Extreme Rainfall Patterns in Greece by Means of Bilinear Surface Smoothin... by Nikolaos Malamos, Theano Iliopoulou, Panayiotis Dimitriadis, Demetris Koutsoyiannis

“…We evaluate the efficacy of NASA’s Integrated Multi-satellitE Retrievals for GPM (IMERG) rainfall estimates and SRTM-derived elevation data as alternative spatial covariates for regionalizing average and extreme rainfall patterns across Greece. …”
Get full text

Evaluating Spatio-Temporal Kriging with Machine Learning Considering the Sources of Spatio-Temporal Variation by Min Jeong, Hyeongmo Koo

“…Integrating spatio-temporal kriging with machine learning improves estimation accuracy by addressing complex spatial and temporal variations in spatio-temporal phenomena. …”
Get full text

Impact of spatially-variable soil thickness and texture on simulated hydrologic conditions in a semiarid watershed in northwest Mexico by Luis A. Méndez-Barroso, Enrique R. Vivoni, Giuseppe Mascaro

“…Furthermore, soil texture patterns were an important factor controlling the spatial and temporal persistence of soil moisture which is highly evident during the transition from dry to wet conditions in the North American monsoon region. …”
Get full text

Changing Extreme Precipitation Patterns in Nepal Over 1971–2015 by Yinxue Luo, Lang Wang, Chenxi Hu, Lu Hao, Ge Sun

“…This study is the first to confirm the efficacy of APHRODITE in providing spatial and temporal precipitation patterns in a data‐limited region. …”
Get full text