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. …”
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Including the phosphorus cycle into the LPJ-GUESS dynamic global vegetation model (v4.1, r10994) – global patterns and temporal trends of N and P primary production limitation by M. Dantas de Paula, M. Forrest, D. Warlind, J. P. Darela Filho, K. Fleischer, A. Rammig, T. Hickler, T. Hickler

“…Using the CNP version of LPJ-GUESS, we also estimated global spatial patterns of nutrient limitation to plant growth as well as the temporal change in plant N and P limitation during the 20th and early 21st century, evaluating the causes for these temporal shifts.…”
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Using 3D observations with high spatio-temporal resolution to calibrate and evaluate a process-focused cellular automaton model of soil erosion by water by A. Eltner, D. Favis-Mortlock, O. Grothum, M. Neumann, T. Laburda, P. Kavka

“…</p> <p>These results underscore the need for more nuanced evaluation of erosion models, e.g. by incorporating spatial-pattern comparison techniques to provide a deeper understanding of the model's capabilities. …”
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High spatial resolution crop type and land use land cover classification without labels: A framework using multi-temporal PlanetScope images and variational Bayesian Gaussian mixtu... by Minh Tri Le, Khuong H. Tran, Phuong D. Dao, Hesham El-Askary, Tuyen V. Ha, Taejin Park

“…The results demonstrated the robustness and effectiveness of the proposed framework in mapping crop types and LULC at 3–5 m pixels across various ecosystems, climate zones, and human-managed landscapes. The spatial patterns of PlanetScope-based maps were (1) highly comparable with all the reference datasets at 10–30 m spatial resolution and (2) better than the traditional GMM and K-means clustering methods. …”
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Evaluation of the Accuracy and Applicability of Reanalysis Precipitation Products in the Lower Yarlung Zangbo Basin by Anqi Tan, Ming Li, Heng Liu, Liangang Chen, Tao Wang, Binghui Yang, Min Wan, Yong Shi

“…Spatial regression revealed terrain features explain 15.4% of flood-season variation. …”
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Advantages and potentials of SuperDove imagery for fine monitoring of suspended particulate matter in estuaries and tidal channels by Peng Li, Shenliang Chen, Congliang Xu, Wenjuan Wu, Jiarui Qi, Yinghai Ke, Hongyu Ji, Shihua Li, Xiaojing Zhong

“…Suspended particulate matter (SPM) concentration is an essential biogeochemical parameter for water quality evaluation and morphodynamic researches. As the newest satellite in Planet family, SuperDove (SD) with eight spectral bands achieves observation to Earth with unprecedented temporal and spatial resolution. …”
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Influence mechanism of natural factors and human socio-economic activities on ecosystem health in arid regions of Central Asia: A case study of Fuyun area, northwest China by Xu Bi, Kailong Shi, Yongyong Fu, Wangyue Zhou, Ruoning Zhao, Haijun Bao

“…Ecosystem health is a critical focus in ecosystem management. Understanding the spatial distribution patterns and driving factors of ecosystem health is crucial for efficient governance and restoration. …”
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A Cross-Regional Perspective on the Coupling and Coordination of Digital Technology, Ecological Civilisation and Economic and Social Development by Boqi Liu, Dingjie Zhou, Yang Zhao, Longyu Shi

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Vessel Trajectory Data Mining: A Review by Alexandros Troupiotis-Kapeliaris, Christos Kastrisios, Dimitris Zissis

“…As a result, there is an increasing demand to analyze these datasets to derive insights into vessel movement patterns and to investigate activities occurring within specific spatial and temporal contexts. …”
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Assessment of coastal zone ecosystem health in the context of tourism development: A case study of Jiaozhou Bay by Zhang Shengrui, Zhang Zhenqi, Zhang Tongyan, Ju Hongrun

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Human Activity Recognition Using Graph Structures and Deep Neural Networks by Abed Al Raoof K. Bsoul

“…This research presents a novel HAR system combining graph structures with deep neural networks to capture both spatial and temporal patterns in activities. While CNN-based models excel at spatial feature extraction, they struggle with temporal dynamics, limiting their ability to classify complex actions. …”
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Spatially distributed gradient-based calibration and parametric sensitivity of a spatialized hydrological model over 235 French catchments by Pierre-André Garambois, François Colleoni, Ngo Nghi Truyen Huynh, Ahmad Akhtari, Ngoc Bao Nguyen, Apolline El-Baz, Maxime Jay-Allemand, Pierre Javelle

“…The study delivers a robust national performance benchmark, highlighting spatial patterns in model skill and parameter behavior, and provides valuable insights for regional hydrological studies and flood forecasting efforts across France.…”
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Fourier Analysis of the Prefaded Signal Synthesis in MPAC Setup by Yilin Ji, Chunhui Li, Wei Fan

“…It aims to synthesize the second-order statistics of a target propagation channel in terms of the spatial and temporal correlation. The emulated spatial and temporal correlation is evaluated in a confined volume (test zone) enclosing the device-under-test (DUT). …”
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Spatio-Temporal Evolution Characteristics of Tourism Ecological Resilience in China by Li Jiang, Xingpeng Chen, Lili Pu, Huaju Xue

“…This study takes 31 provinces in China as the research area, constructs a comprehensive evaluation index system of TER based on the theory of evolutionary resilience, and uses a comprehensive evaluation index, GIS spatial analysis technology, kernel density estimation, Dagum–Gini coefficient, and other research methods to analyze the spatial and temporal evolution of China’s TER from 2010 to 2022 and the spatial distribution pattern of three dimensions of DPC-ARC-OIC. …”
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NeuroMorse: a temporally structured dataset for neuromorphic computing by Ben Walters, Yeshwanth Bethi, Taylor Kergan, Binh Nguyen, Amirali Amirsoleimani, Jason K Eshraghian, Saeed Afshar, Mostafa Rahimi Azghadi

“…The proposed benchmark contains feature hierarchy at multiple temporal scales that test the capacity of spiking algorithms to decompose input patterns into spatial and temporal hierarchies. …”
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A New Efficient Hybrid Technique for Human Action Recognition Using 2D Conv-RBM and LSTM with Optimized Frame Selection by Majid Joudaki, Mehdi Imani, Hamid R. Arabnia

“…The 2D Conv-RBM efficiently extracts spatial features such as edges, textures, and motion patterns while preserving spatial relationships and reducing parameters via weight sharing. …”
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Spatiotemporal Relationship Between Carbon Metabolism and Ecosystem Service Value in the Rural Production–Living–Ecological Space of Northeast China’s Black Soil Region: A Case Stu... by Yajie Shang, Yuanyuan Chen, Yalin Zhai, Lei Wang

“…Spatial autocorrelation analyses were employed to examine the interaction patterns between carbon metabolism and ESV. …”
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The Possible Influence of Atmospheric Circulation and North Atlantic Sea Surface Temperature Anomaly on the Winter Cold Wave Frequency in the Southern China by Feng JIANG, Liping LI

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Spatiotemporal Analysis of Multi-UAV Persistent Search and Retrieval with Stochastic Target Appearance by Ryan Day, John L. Salmon

“…To address these limitations, we present a comprehensive analysis framework combining temporal and spatial analysis techniques. For temporal analysis, we employ a graphical comparison of line charts and discrete Fourier transform analysis to identify shared temporal patterns across scenarios. …”
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Spatio-temporal dynamics of speleothem growth and glaciation in the British Isles by S. Panitz, S. Panitz, M. Rogerson, J. Longman, N. Scroxton, T. J. Lawson, T. C. Atkinson, V. Ersek, J. Baldini, L. Baldini, S. Umbo, M. A. Lone, G. M. Henderson, S. F. M. Breitenbach

“…A pronounced decline in speleothem growth coincides with the Last Glacial Maximum before broad reactivation during deglaciation and into the Holocene. Spatio-temporal patterns in speleothem growth between 31 and 15 ka agree well with the surface-deposit-based reconstruction of the last BIIS. …”
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