Spatial network characteristics and influencing factors of residential land prices under the background of coordinated development: A case study of the Wuhan metropolitan area in C... by Wenqi Li, Fengjuan Wei

“…Similar aggregation types exhibit a distinct cluster distribution in space. (2) The network structure of residential land prices in the Wuhan metropolitan area increases yearly, but the evolution speed is slow. (3) Compared to OLS and GWR, the MGWR model more accurately measures the impact and spatial variability of variables on residential land prices. …”
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GRAVITY ANOMALIES OF THE CRUST AND UPPER MANTLE FOR CENTRAL AND SOUTH ASIA by V. N. Senachin, A. A. Baranov

“…By applying the 3SGravity software package and the AsCrust digital model, we revealed the spatial pattern of gravitational anomalies in the crust and mantle in Central and South Asia, which gives more precise information about the variations in density with depth in the study area. …”
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Benchmarking performance of annual burn probability modeling against subsequent wildfire activity in California by Christopher J. Moran, Matthew P. Thompson, Bryce A. Young, Joe H. Scott, Melissa R. Jaffe

“…Here, we present a novel performance evaluation of the operational wildfire simulation system FSim, confronting updated BP maps with subsequent fire activity across the state of California over a 4-year period (2020–2023). Results show strong predictive ability: across 5 equal-area BP classes, 56.7–79.8% of the burned area occurred in the top 20% of mapped area; mean (median) BP values in burned areas were 238.5–348.8% (551.4–880.7%) greater than in unburned areas; differences in empirical cumulative distribution functions of BP for burned/unburned areas were statistically significant; Logarithmic Skill Scores ranged from − 0.072 to 0.389 against two reference models. …”
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Comprehensive assessment and analysis of urban resilience based on fusion modeling–taking guilin as an example by Liduo Dou, Lanwei Zhu, Yuxin He, Meiqing Wu, Yifei Guo

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Soil Moisture Content Prediction Using Gradient Boosting Regressor (GBR) Model: Soil-Specific Modeling with Five Depths by Tarek Alahmad, Miklós Neményi, Anikó Nyéki

“…The statistical analysis revealed significant variation in SMC across depths in loam soil (<i>p</i> < 0.05), while silt loam exhibited more stable moisture distribution. The GBR model demonstrated high performance in both soil textures, achieving R² values of 0.98 and 0.94 for silt loam and loam soils, respectively, with low prediction errors (RMSE 0.85 and 0.97, respectively). …”
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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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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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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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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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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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Genetic Programming-Based Prediction Model for Microseismic Data by Man Wang, Hongwei Zhou, Dongming Zhang, Yingwei Wang, Weihang Du, Beichen Yu

“…The high energy and seismic distribution were caused by the mining stress at the edge of working faces due to the excavation and unloading effect of the surface, and the energy and seismic evolution predicted by GP could also show this phenomenon well.…”
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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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La Russie et l’Europe : une intégration économique encore à venir ? by Yann Richard, Christine Tobelem Zanin

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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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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

“…The study results reveal that a better understanding of the simulated long-term average spatial distribution of water balance components is useful for managing and planning the available water resources in the Aswan aquifer.…”
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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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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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