DPSTCN: Dynamic Pattern-Aware Spatio-Temporal Convolutional Networks for Traffic Flow Forecasting by Zeping Dou, Danhuai Guo

“…Temporally, the model introduces a novel temporal module, containing a temporal convolutional network (TCN) enriched with an enhanced pattern-aware self-attention mechanism, adept at capturing temporal patterns, including local/global dependencies, dynamics, and periodicity. …”
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Waterhole use and diel activity pattern of ocelots in Calakmul rainforest, Mexico by Elisa Sandoval-Serés, Khiavett Sánchez-Pinzón, Rafael Reyna-Hurtado

“… We aimed to evaluate the temporal and spatial use of waterholes by ocelots in Calakmul Biosphere Reserve (CBR), Mexico. …”
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Simulating Land Use and Evaluating Spatial Patterns in Wuhan Under Multiple Climate Scenarios: An Integrated SD-PLUS-FD Modeling Approach by Hao Yuan, Xinyu Li, Meichen Ding, Guoqiang Shen, Mengyuan Xu

“…Accurately predicting and scientifically evaluating the evolution of land use patterns is essential to advancing territorial spatial governance and achieving ecological security goals. …”
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Assessing the spatial-temporal performance of machine learning in predicting grapevine water status from Landsat 8 imagery via block-out and date-out cross-validation by Eve Laroche-Pinel, Vincenzo Cianciola, Khushwinder Singh, Gaetano A. Vivaldi, Luca Brillante

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Demographic disparities, temporal trends, and geographic patterns of HPV vaccination on Long Island, New York: A comprehensive analysis of immunization registry data (2012–2023) by Zihan Ding, Jianyuan Deng, Linda Mermelstein, Barbara Nemesure, Tyler Osborne, Fusheng Wang

“…This study explores the demographic disparities (age, gender, race and ethnicity), temporal trends, and geographical patterns of HPV vaccine administration by analyzing large-scale immunization registry data for Long Island (LI) (Nassau and Suffolk Counties), New York (NY). …”
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Temporal Variation and Spatial Heterogeneity in Boarding/Alighting Patterns at Urban Railway Stations: Implications for Estimating Optimal Construction Scale—A Case Study in Seoul,... by WooKeol Cho, Kyoungtae Kim, Inmook Lee, Soyoung (Iris) You

“…Therefore, this study investigated the correlation between the temporal variation in boarding and alighting patterns and the attributes (location) of railway stations in Seoul, South Korea, and analyzed the spatial heterogeneity of this correlation. …”
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Urban grey-green scales: A new perspective for assessing dynamic spatial trade-offs by Xi Wang, Liang Zhou, David López-Carr, Yongze Song, Hong Gao, Tao Che, Zhifeng Liu, Wei Wei

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Evaluation of spatial and temporal accuracy of GPCC and CRU datasets against observational data by Hadi Razzaq Abed, jafar Masoompour Samakosh, Morteza Miri, Tayeb Raziei

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Low-carbon transformation of China’s cities: evaluation and spatiotemporal pattern evolution by Jinghe Zhang, Caiquan Bai, Lei Zhou, Shanggang Yin

“…This study then examines the spatiotemporal pattern evolution of Chinese cities’ low-carbon transformation and uses geographically and temporally weighted regression to investigate the influencing factors. …”
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Spatial and temporal patterns of self-harm indicators and their association with the socio-demographic index (SDI) in Iran: analysis of incidence, death, DALY, YLDs, and YLLs from... by Mehrnoosh Salari, Mohammadreza Balooch Hasankhani, Mohsen Rezaeian

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Acquisition of Crop Spatial Patterns Based on Remote Sensing Data from Sentinel-2 Satellite by Yinan Wang, Kai Guo, Xiangbing Kong, Jintao Zhao, Buhui Chang, Chunjing Zhao, Fengying Jin

“…The results indicate the following: (1) the proposed method enhances crop identification capabilities; (2) an accuracy evaluation against the data from the Third National Land Resource Survey and provincial statistical yearbook data for 2022 demonstrates extraction accuracy exceeding 90%; and (3) an analysis of the crop spatial patterns in 2022 reveals that <i>wheat</i> and <i>corn</i> are the predominant crops in Henan and Shaanxi provinces, covering 74.42% and 62.32% of the total crop area, respectively. …”
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Three-medical linkage in China: trend evolution and obstacle identification by Lingyun Guo, Fanyi Kong, Liangru Zhou, Ruojun Xiang, Kexin Zhang, Yufei Su, Qiuying Zheng, Ruifeng Li

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Characterizing spatio-temporal patterns of winter cropland cover in Germany based on Landsat and Sentinel-2 time series by Felix Lobert, Marcel Schwieder, Patrick Hostert, Alexander Gocht, Stefan Erasmi

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An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach by Jing Deng, Michael R. Desjardins, Eric M. Delmelle

“…The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. …”
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Digital Economy Development and Urban–Rural Integration in Northeast China: An Empirical Analysis by Shibo Gao, Jing Zhang, Zuopeng Ma, Guolei Zhou, Yanjun Liu, Yuliang Liu

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Analysis of the Construction and Evolution of Ecological Security Patterns in Karst Areas by FU Li, PENG Shuangyun, GONG Luping, HUANG Bangmei, MA Dongling, ZHU Ziyi

“…［Methods］ Based on the evaluation of ecosystem service importance and ecological sensitivity, in combination with methods such as MSPA, MCR, and the gravity model, the ecological security pattern of the Pearl River source region from 1990 to 2020 was constructed, and its spatial-temporal evolution characteristics were analyzed. …”
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Impact of distance measures in adaptive K-means clustering on load profiles and spatial patterns of distributed substations in Thailand by Temsiri Prompook, Sorawut Jittanon, Kandanai Phumeesut, Chakkrit Termritthikun, Nipon Ketjoy, Wisut Chamsa-ard, Noppakun Meesuk, Chakphed Madtharad, Tawat Suriwong

“…Optimal clustering for the distributed substations of PEA was achieved with K equal to 3 or 4, balancing simplicity and detail. The spatial distribution of substation clusters across different regions in Thailand revealed distinct energy consumption patterns linked to customer sectors. …”
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Tracking Urban Sprawl: A Systematic Review and Bibliometric Analysis of Spatio-Temporal Patterns Using Remote Sensing and GIS by Mohammad Raditia Pradana, Muhammad Dimyati

“…Suggestions for future research include using data with detailed spatial resolution and narrow study intervals while considering the patterns of urban sprawl formation. …”
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Spatial and temporal evaluation of iodine uptake and radiodensity in meniscus tissue using contrast-enhanced micro-CT by Federica Orellana, Alberto Grassi, Katja M. Nuss, Peter Wahl, Antonia Neels, Stefano Zaffagnini, Annapaola Parrilli

“…Conclusion: This study demonstrated the utility of iodine-based CAs and micro-CT technique for visualizing and investigating the spatial and temporal iodine diffusion within the meniscal tissue of sheep and pigs. …”
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Accounting for spatiotemporal patterns of long‐term recursion in estimating local‐scale step selection by Michael E. Egan, Nicole T. Gorman, Michael W. Eichholz, Dan Skinner, Peter E. Schlichting, Guillaume Bastille‐Rousseau

“…Specifically, since the used and available steps in SSA are associated with specific places and times, covariates must account for variation in spatial and temporal patterns of long‐term behaviour. …”
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