Estimating Nitrogen Dioxide Levels Using Open Data and Machine Learning: A Comparative Modeling Study by D. Varam, R. Mitra, F. Kamran, D. A. Abuhani, H. Sulieman, I. Zualkernan

“…This study investigates NO₂ levels in Italy, analyzing spatial and seasonal variations to better understand pollutant distribution. …”
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Norway’s electric vehicle revolution: unveiling greenhouse gas emissions reductions and material use of passenger cars across space and time by Lola S A Rousseau, Jan Sandstad Næss, Marine Lhuillier, Romain G Billy, Peter Schön, Edgar G Hertwich

“…Norway’s strong EV supporting policies has led to an explosion of EVs and reduced direct emissions, but with rural-urban differences and undocumented upstream impacts. We investigated how the material composition and life cycle GHG emissions of Norwegian vehicles have evolved between 2000 and 2023 by integrating spatiotemporal vehicle data with a vehicle life cycle assessment model. …”
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Modeling the regional grazing impact on vegetation carbon sequestration ability in Temperate Eurasian Steppe by Yi-zhao CHEN, Zheng-guo SUN, Zhi-hao QIN, Pavel Propastin, Wei WANG, Jian-long LI, Hong-hua RUAN

“…Model outputs showed that in 2008, the regional net primary productivity (NPP) was 79.5 g C m−2, and the net ecosystem productivity (NEP) was −6.5 g C m−2, characterizing the region as a weak carbon source. …”
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Lonely Little Red Dots: Challenges to the Active Galactic Nucleus Nature of Little Red Dots through Their Clustering and Spectral Energy Distributions by María Carranza-Escudero, Christopher J. Conselice, Nathan Adams, Thomas Harvey, Duncan Austin, Peter Behroozi, Leonardo Ferreira, Katherine Ormerod, Qiao Duan, James Trussler, Qiong Li, Lewi Westcott, Rogier A. Windhorst, Dan Coe, Seth H. Cohen, Cheng Cheng, Simon P. Driver, Brenda Frye, Lukas J. Furtak, Norman A. Grogin, Nimish P. Hathi, Rolf A. Jansen, Anton M. Koekemoer, Madeline A. Marshall, Rosalia O’Brien, Norbert Pirzkal, Maria Polletta, Aaron Robotham, Michael J. Rutkowski, Jake Summers, Stephen M. Wilkins, Christopher N. A. Willmer, Haojing Yan, Adi Zitrin

“…We also measure LRD clustering in the CEERS field, JADES field, and NEP-TDF, where we compare the spatial distribution of LRDs and galaxies with Kolmogorov–Smirnov tests of equality of distribution. …”
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Longitudinal Fluvial Dispersion of Coarse Particles: Insights From Field Observations and Model Simulations by Anshul Yadav, Marwan A. Hassan, Conor McDowell, D. Nathan Bradley, Sumit Sen

“…The observed mean virtual velocity of the tracer population slows down with cumulative excess energy after the 2010 large event. The forward model deviates from the observations in representation of tails, overpredicts mean displacements, and shows a narrower spatial distribution. …”
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Global analysis of temporal clusters of storm surges by Ariadna Martín, Robert Jane, Alejandra R. Enriquez, Thomas Wahl

“…We study the spatial distribution as well as the contribution of different event intensities to clustering. …”
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Exploring the relationship between saturated hydraulic conductivity and roots distribution: two case studies in Garfagnana (Northern Tuscany, Italy) and Zollikofen (Bern, Switzerla... by Lorenzo Marzini, Michele Pio Papasidero, Enrico D’Addario, Massimiliano Schwarz, Leonardo Disperati

“…Our results support the hypothesis that the presence of roots represent a key factor in preferential infiltration and, therefore, hydrological models applied for the runoff modelling, slope stability and soil erosion can be improved considering the spatial distribution of roots derived by field measurement and/or remote sensing data.…”
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Revised global vertically integrated remanent magnetization model of the oceanic lithosphere with comparison to LCS-1 model and MSS-1 magnetic measurements by ShiDa Sun, Hui Li, JinSong Du, Pan Zhang, Chao Chen, PengFei Liu

“…In these regions, the predicted and observed anomalies show good consistency in spatial distribution, whereas their amplitude differences vary across regions. …”
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Epidemic dynamics in the spatio-temporal predator-prey model by Hyangim Ji, Maria Vasilyeva, Nana Adjoah Mbroh, Alexey Sadovski

“…The model integrates the classical Lotka–Volterra predator–prey framework with a Susceptible–Infected–Susceptible disease model and explicitly incorporates diffusion terms to capture spatial movement. …”
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The potential spatiotemporal distribution patterns of Avena nuda and Avena sativa from global perspective provide new insights for the cultivation of commonly cultivated oats by Huanhuan Lu, Yuying Zheng, Ting Zhao, Liuban Tang, Fan Zhang, Wengang Xie

“…This study comprehensively collected the geographic distribution and environmental data of A. nuda and A. sativa from global regions, the ensembled niche and Marxan model were used to predict the potential spatiotemporal distribution and planting pattern of commonly cultivated oats, and further explore the environmental factors that affected the spatial distribution and genetic diversity pattern. …”
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The role of chromosomal rearrangements, polyploidy, and genome size variation in the diversity and ecological distribution of Asparagus L. species: a landscape cytogenetics meta-an... by Parisa Fouroutan, Masoud Sheidai, Fahimeh Koohdar

“…Additionally, species distribution modeling (SDM) was performed on some selected Asparagus species. …”
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Innovative management strategies for groundwater logging in Aswan city and maximization of its benefits using modeling techniques by Hickmat Hossen, Ahmed S. Nour-Eldeen, Ismail Abd-Elaty, Ali M. Hamdan, Abdelazim Negm, Mohamed Elsahabi

“…Therefore, understanding intricate aquifer systems and predicting how they will react to hydrological changes require the use of groundwater models. …”
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Unraveling the diversity of Arc volcanism and deep low-frequency tremors in Southwest Japan from numerical modeling by Goeun Ha, Changyeol Lee, YoungHee Kim

“…Southwest Japan, particularly Kyushu and Shikoku/Chugoku, exhibits significant along-arc variation in the spatial distribution of Quaternary arc volcanoes and adakites as well as deep low-frequency tremors beneath the forearc. …”
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Pulsating population: the rhythmicity of municipalities in the Czech Republic based on mobile phone location data by Adam Stražovec, Martin Erlebach, Marián Halás

“…The spatial distribution of municipalities according to these rhythms resembles a mosaic pattern. …”
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Extraction and Spatiotemporal Analysis of Rubber Plantations on Hainan Island, China (1990–2023) Using Phenological and Multivariate Remote Sensing Features by Donghua Wang, Huichun Ye, Yanan You, Chaojia Nie, Jingjing Wang, Jingjuan Liao, Bingsun Wu, Lixia Shen, Dailiang Peng

“…Rubber plantation area expanded by 37.60%, from 3942.27 km² in 1990 to 5424.53 km² in 2023, with the most rapid growth between 2005 and 2010. Spatially, the distribution of rubber plantations on Hainan Island has shown a general trend of migration from the south to the northwest over the past three decades. …”
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Sedimentary Model of Sublacustrine Fans in the Shahejie Formation, Nanpu Sag by Zhen Wang, Zhihui Ma, Lingjian Meng, Rongchao Yang, Hongqi Yuan, Xuntao Yu, Chunbo He, Haiguang Wu

“…To address the impact of faults on sublacustrine fan formation and spatial distribution within the study area, this study integrated well logging, laboratory analysis, and 3D seismic data to systematically analyze sedimentary characteristics of sandbodies from the first member of the Shahejie Formation (Es₁) sublacustrine fans, clarifying their planar and cross-sectional distributions. …”
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Study of the pine wilt disease occurrence and its range expansion pattern based on GIS by ZHANG Zhi-cheng, SUN Jiang-hua, HUANG Bao-xu, ZHANG Feng, OUYANG Hua

“…Based on the ArcView spatial model, 1316 point investigated data on the occurrence of PWD in the given region were analyzed. …”
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Evaluation and Optimization Strategies for Provincial Culture and Tourism Integration from the Perspective of Landscape Narrative: A Case Study of Anhui Province, China by Yunxi Hong, Li Tu, Minghe Wan

“…Using spatial analytical methods such as Moran’s I and the Spatial Autoregressive (SAR) model, the study identifies clear spatial clustering patterns and influential factors. …”
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Modelling the species-area relationship using extreme value theory by Luís Borda-de-Água, M. Manuela Neves, Luise Quoss, Stephen P. Hubbell, Filipe S. Dias, Henrique M. Pereira

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Centennial spatiotemporal evolution of AGC in subtropical forests and key driving factors − based on process modeling and geography detector by Lei Huang, Zihao Huang, Xuejian Li, Fangjie Mao, Meixuan Song, Yinyin Zhao, Fengfeng Ye, Lujin Lv, Jiacong Yu, Huaqiang Du

“…Therefore, this study utilized the BIOME-BGC model to simulate the spatial and temporal distribution of AGC in subtropical forests over a 100-year period (2000–2100) under four SSP-RCP scenarios, focusing on Zhejiang Province, China. …”
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