Three-dimensional surface deformation field monitoring and influencing factors analysis in mountainous areas based on SBAS-INSAR technology (Tianjin, China) by Jun Shang, Mingyang Wang, Xin Wang, Mengyao Yang, Yifan Wu, Wangze Du

“…Abstract Synthetic aperture radar interferometry (InSAR) technology has emerged as a critical methodology for disaster reduction and prevention, offering unprecedented all-weather operational capabilities and extensive spatial coverage that effectively address the limitations of traditional detection methods. …”
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Assessment of Long-Term Land Cover Changes and Urban Expansion in Cities of the Hungarian Great Plain Using CORINE Data and Historical Maps by Dávid Balázs, István Fazekas, Tamás Mester

“…Urban expansion influences not only land use patterns but also the ecological integrity and naturalness of the landscape. …”
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Using social-network analysis to map institutional actors’ links with vulnerable municipalities under climate change in Honduras’ dry corridor. Pathways towards improved cooperatio... by Carlos Eduardo Gonzalez-Rodriguez, Irma Ayes-Rivera, Jean-Francois Le Coq, Rafael Renteria-Ramos, Johana Marcela Castillo-Rivera

“…The SNA results reveal a spatial misalignment, where only 9% of interventions linked to climate-change adaptation are conducted in the highly vulnerable, outlying zones located farthest from the capital. …”
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Advancing the Sensitivity Frontier in digital contact tracing: Comparative analysis of proposed methods toward maximized utility by Junko Ami, Yanbo Pang, Hiroshi Masui, Takashi Okumura, Yoshihide Sekimoto

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Assessing the irrigation water requirement and irrigation water use at a house scale in Las Vegas Valley by Rubab Saher, Thomas Ott

“…The assessment included modeling the irrigation water requirement at 3 m spatial resolution at a daily daytime time scale. …”
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Groundwater Quality Assessment Using Water Quality Index and Geospatial Tools: Kabul Province Case Study by Maiwand Omary, Mohammad Najim Nasimi, Mohammad Nasim Nasimi

“…The purpose was helped through the assessment of a set of groundwater physico-chemical parameters (pH, turbidity, total dissolved solids (TDS); sulfate, fluoride, nitrate, and boron content; total hardness (TH) as calcium carbonate, sodium, calcium, magnesium, and total iron), as well as the determination of the Water Quality Index (WQI) developed based on sampling the water points located in the districts of Kabul Province and Kabul City in the course of 3 years (2018 to 2020) to provide a clear and concise representation of water quality status, and cat-egorize groundwater into different quality classes ranging from “excellent” to “unsuitable for drinking”. Moreover, the spatial distribution of WQI and 12 physico-chemical parameter values was mapped using the Inverse Distance Weighted (IDW) Interpolation in Arcmap 10.7 environment, revealing distinct water quality patterns across the study area. …”
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Collapse Hotspot Detection in Urban Area Using Sentinel-1 and TerraSAR-X Dataset with SBAS and PSI Techniques by Niloofar Alizadeh, Yasser Maghsoudi, Tayebe Managhebi, Saeed Azadnejad

“…The experimental results from three areas with a history of collapses demonstrate that the SBAS algorithm outperforms PSI in uncovering behavior patterns indicative of collapse and accurately pinpointing collapse points near real collapse sites. …”
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Recognition and Evaluation of Architectural Heritage Value in Fujian Overseas Chinese New Villages by Jing Hu, Hanyi Wu, Fan Huo, Zhihong Chen

“…Three primary findings emerged: (1) Spatial distribution patterns revealed core-periphery clustering characteristics, with Xiamen and Zhangzhou forming high-density cores (23.5% concentration ratio) showing KDE values of 4.138–4.976, reflecting historical migration networks and policy-driven site selection logic. (2) Heritage values were categorized into seven dimensions, with historical significance (0.2904), artistic merit (0.1602), and functional utility (0.1638) identified as primary value drivers. (3) A four-tier evaluation system quantified heritage significance through weighted indices, demonstrating 53.89% dominance of intrinsic value components, with historical and cultural factors contributing 29.04% and 18.52% respectively. …”
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On the Road to Safety: Examining Children’s Cycling Skills and Physical Activity Levels by Juliane Stark, Michael Meschik

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Small scale, elevation- and environmental-related differences in life history strategies in a temperate resident songbird by Benjamin R. Sonnenberg, Carrie L. Branch, Angela M. Pitera, Virginia K. Heinen, Lauren E. Whitenack, Joseph F. Welklin, Vladimir V. Pravosudov

“…Environmental drivers of within-population reproductive patterns are often hypothesized to lead to reproductive strategies tuned to local conditions. …”
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Deep-Learning Integration of CNN–Transformer and U-Net for Bi-Temporal SAR Flash-Flood Detection by Abbas Mohammed Noori, Abdul Razzak T. Ziboon, Amjed N. AL-Hameedawi

“…This model improves flood boundary delineation by involving local spatial patterns and global contextual relations. …”
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The gene regulatory mechanisms shaping the heterogeneity of venom production in the Cape coral snake by Pedro G. Nachtigall, Brett R. Hamilton, Taline D. Kazandjian, Paolo Stincone, Daniel Petras, Nicholas R. Casewell, Eivind A. B. Undheim

“…However, toxins are often unevenly distributed across venom-producing tissues in patterns that are not necessarily adaptive but instead likely result from constraints associated with protein secretion. …”
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A Fourier Fitting Method for Floating Vehicle Trajectory Lines by Yun Shuai, Pengcheng Liu, Hao Han

“…With the advancement of spatial positioning technology, trajectory data have been growing rapidly. …”
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Population genomics and distribution modeling revealed the history and suggested a possible future of the endemic Agave aurea (Asparagaceae) complex in the Baja California Peninsul... by Anastasia Klimova, Jesús Gutíerrez‐Rivera, Alfredo Ortega‐Rubio, Luis E. Eguiarte

“…Herein, we used over 10,000 single‐nucleotide polymorphisms (SNPs) and spatial data from the Agave aurea species complex (i.e., A. aurea ssp. aurea, A. aurea ssp. promontorii, and A. aurea var. capensis) to resolve genetic relationships within this complex and uncover fine‐scale population structure, diversity patterns, and their potential underlying drivers. …”
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A Three-Dimensional Feature Space Model for Soil Salinity Inversion in Arid Oases: Polarimetric SAR and Multispectral Data Synergy by Ilyas Nurmemet, Yilizhati Aili, Yang Xiang, Aihepa Aihaiti, Yu Qin, Bilali Aizezi

“…Subsequent validation using measured soil electrical conductivity (EC) data (May–June 2023) demonstrated strong model performance, with ORSIM achieving R² = 0.75 and RMSE = 7.57 dS/m. Spatial analysis revealed distinct salinity distribution patterns: (1) Mildly salinized areas clustered in the central oasis region, and (2) severely salinized zones predominated in northern low-lying margins. …”
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Building flux capacity: Citizen scientists increase resolution of soil greenhouse gas fluxes. by Cody C Reed, Julianne M Winters, Stephen C Hart, Rachel Hutchinson, Mark Chandler, Gitte Venicx, Benjamin W Sullivan

“…A collaboration between university researchers and citizen scientists allowed us to assess spatial and diel patterns of soil greenhouse gas (GHG) fluxes with an intensity and frequency that would otherwise be beyond the capacity of a typical research laboratory. …”
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Enhanced Pilot Attention Monitoring: A Time-Frequency EEG Analysis Using CNN–LSTM Networks for Aviation Safety by Quynh Anh Nguyen, Nam Anh Dao, Long Nguyen

“…Finally, our dual-architecture CNN–LSTM model processes spatial patterns via CNNs while capturing temporal degradation signals via LSTMs, enabling robust classification in noisy operational environments. …”
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INTEGRATED ASSESSMENT AND MAPPING OF ANTHROPOGENIC IMPACT ON THE NATURAL ENVIRONMENT OF RUSSIAN REGIONS by V. S. Tikunov, S. K. Belousov

“…These matrices allow not only to identify spatial patterns of distribution of the level of anthropogenic impact, but also to study the dynamics of this phenomenon in relation to the regions of Russia. …”
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MB-MSTFNet: A Multi-Band Spatio-Temporal Attention Network for EEG Sensor-Based Emotion Recognition by Cheng Fang, Sitong Liu, Bing Gao

“…The model constructs a 3D tensor to encode band–space–time correlations of sensor data, explicitly modeling frequency-domain dynamics and spatial distributions of EEG sensors across brain regions. …”
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Comparative evaluation of spatiotemporal methods for effective dengue cluster detection with a case study of national surveillance data in Thailand by Chawarat Rotejanaprasert, Kawin Chinpong, Andrew B. Lawson, Richard J. Maude

“…A simulation study explored diverse disease scenarios, characterized by varying magnitudes and spatial-temporal patterns, while real data analysis utilized monthly national dengue surveillance data from 2018 to 2020. …”
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