A comprehensive spatiotemporal and risk reduction drought assessment study utilizing SPEI index for Urmia Lake Basin, Iran by Sadaf Samiei, Mohammadali Alijanian

“…Hence, this study performs a comprehensive drought assessment, considering temporal, spatial, and risk reduction aspects. Using a 50-year (1971–2020) time series of multivariate Standardized Precipitation-Evapotranspiration Index (SPEI) data (3, 6, 9, and 12-month timescales), the study employs Mann-Kendall, modified Mann-Kendall, and Sen's slope analyses to determine drought trends, examines spatial patterns using Severity Area Frequency (SAF) curves, and finally, evaluates drought risk reduction using resilience, vulnerability, and exposure factors. …”
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Sensitivity Study on the Influence of Parameterization Schemes in WRF_ARW Model on Short- and Medium-Range Precipitation Forecasts in the Central Andes of Peru by Aldo S. Moya-Álvarez, Daniel Martínez-Castro, José L. Flores, Yamina Silva

“…According to this criterion, the best performing configuration was the combination of Betts–Miller–Janjic and Morrison. Spatial verification showed that, even if all the configurations overestimated precipitation in some degree, spatial patterns of rainfall match the TRMM and PISCO rainfall data. …”
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Development of a digital micromirror device-based hyperspectral imaging system with dynamically adjustable measurement regions by Jewon Lee, Dohyeon Son, Hanvit Kim, Soohyun Lee, Jin Roh, Jonghee Yoon

“…Abstract Hyperspectral imaging (HSI) captures both spatial and spectral information simultaneously, enabling accurate discrimination of targets that are difficult to distinguish using conventional color imaging techniques. …”
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An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection by Sarah Tipper, Hany F. Atlam, Harjinder Singh Lallie

“…CNNs enable the effective extraction of spatial features from video frames, such as facial textures and lighting, while LSTM analyses temporal patterns, detecting inconsistencies over time. …”
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Spatiotemporal Analysis of Eco-Geological Environment Using the RAGA-PP Model in Zigui County, China by Xueling Wu, Jiaxin Lu, Chaojie Lv, Liuting Qin, Rongrui Liu, Yanjuan Zheng

“…The findings indicate the following: (1) The RAGA-PP model outperforms conventional AHP-CV methods in assessing Zigui County’s eco-geological environment, showing superior accuracy (higher Moran’s I) and spatial consistency. (2) Hotspot analysis confirms these results, revealing distinct spatial patterns. (3) From 2000 to 2020, “bad” quality areas decreased from 17.31% to 12.33%, while “moderate” or “better” zones expanded. (4) This improvement reflects favorable natural conditions and reduced human impacts. …”
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Spatiotemporal mapping of major trauma in Victoria, Australia. by Ben Beck, Andrew Zammit-Mangion, Richard Fry, Karen Smith, Belinda Gabbe

“…We employed Bayesian spatiotemporal models to quantify spatial and temporal patterns, and analysed the results across a range of geographical remoteness and socioeconomic levels.…”
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The relationship between moisture in the low level of the troposphere and seasonal precipitation over Iran by Hasan Nuroozi, Amin Shirvani, Mathew Barlow

“…The CCA time series are correlated to global sea surface temperatures to assess the connections to large‐scale, potentially predictable modes of variability. The CCA spatial patterns indicate that there is a strong relationship between low‐level moisture and seasonal precipitation, with VISH over the Persian Gulf, Oman Sea, Arabian Sea, and Red Sea positively correlated with precipitation over most areas of Iran, while VISH over the Caspian Sea and Black is negatively correlated. …”
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Identifying hotspots and risk factors for tick-borne encephalitis virus emergence at its range margins to guide interventions, Great Britain by Bethan V Purse

“…Aim We aimed to understand the environmental and ecological factors limiting TBEV foci at their range edge and predict suitable areas for TBEV establishment across Great Britain (GB) by modelling patterns of exposure to TBEV in deer. Methods We developed spatial risk models for TBEV by integrating data between 2018 and 2021 on antibodies against tick-borne flavivirus in fallow, muntjac, red and roe deer with data on potential risk factors, including climate, land use, forest connectivity and distributions of bank voles and yellow-necked mice. …”
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PROBLEMS OF MONUMENTAL SCULPTURE SYNTHESIS IN ENSEMBLES OF THE CITY OF MAKHACHKALA by T. S. Gamidov

“…The term “problems of synthesis” includes a number of key rules and patterns, from the correct solution of which depends the harmonious inclusion of monuments in the environment.Methods. …”
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Expected occurrence of wildlife in US Atlantic offshore wind areas by Deborah N. Brill, Jesse Cleary, Jason J. Roberts, Bryce R. O’Brien, Patrick N. Halpin

“…These results offer valuable guidance to marine spatial planners, management agencies and offshore wind developers on the expected locations and timing of interaction risk to wildlife species in or near wind energy areas across the region.…”
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Comparative Study on the Perception of Cultural Ecosystem Services in Taibai Mountain National Forest Park from Different Stakeholder Perspectives by Jiaxin Li, Kankan Li, Yanbo Wang, Rui Jiao

“…This study used participatory mapping combined with 184 interviews and questionnaires, completed on 10 December 2023, to investigate the perceptions of CESs in Taibai Mountain National Forest Park by different stakeholder groups; spatial and correlation analyses were used to comparatively analyze the characteristics of the differences in the perceptions of CESs among different stakeholders, the influencing factors, and their spatial distribution patterns. …”
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Mortality atlas of the main causes of death for the elderly population (≥75 years) in Switzerland during 2010–2020 by Taru Singhal, Kaja Widmer, Anton Beloconi, Suzanne Dhaini, Matthias Schwenkglenks, Cordula Blohm, Rolf Weitkunat, Sabina De Geest, Penelope Vounatsou

“…Knowledge of the spatial patterns enables better identification of high-risk areas for specific causes of death and potential risk factors, and can help guide policy, allocate resources and raise awareness in a more targeted manner. …”
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Machine learning-based analysis of defensive strategies in basketball using player movement data by Jianlong Li

“…The proposed hybrid model integrates LSTM to identify temporal features of players’ motion and CNN to recognize spatial patterns across the court. The model was trained and evaluated on the National Basketball Association’s (NBA) SportVU tracking data, which includes over 32,000 possessions. …”
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Industry of Russian Regions Under New Anti-Russian Sanctions by Marina Yurievna Malkina

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Space-based long term condition monitoring of cold region pavement with PS-InSAR by Yusheng Jiang, Xiong Yu

“…From these, three main seasonal vertical ground deformation patterns were identified, each reflecting the diverse subsurface soil characteristics across the sites. …”
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Evaluation of machine learning and deep learning algorithms for fire prediction in Southeast Asia by Aditya Eaturu, Krishna Prasad Vadrevu

“…The CNN-LSTM hybrid model also performed well in Cambodia, suggesting a need for a balanced approach in areas requiring both spatial and temporal feature extraction. Furthermore, simpler models, such as Simple Persistence and MLP, showed limitations in capturing dynamic patterns and temporal dependencies. …”
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A regional study on convective lightning activity and its interaction with sea surface temperature and thermodynamic indices by K. Nandhulal, Hamza Varikoden, R. Vishnu

“…The study highlights that these factors play a crucial role in the formation of thunderclouds in the region by bringing moist air aided by wind patterns. Moist Static Energy (MSE) profiles support these findings, indicating greater atmospheric instability during months with high lightning activity. …”
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A Machine Learning Framework for Urban Ventilation Corridor Identification Using LBM and Morphological Indices by Bu Yu, Peng Xie

“…The results show that the proposed method can accurately predict spatial wind speed patterns and identify both primary and secondary ventilation corridors. …”
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RaNet: a residual attention network for accurate prostate segmentation in T2-weighted MRI by Muhammad Arshad, Chengliang Wang, Muhammad Wajeeh Us Sima, Jamshed Ali Shaikh, Salem Alkhalaf, Fahad Alturise

“…The encoder leverages residual connections to extract hierarchical features, capturing both fine-grained details and multi-scale patterns in the prostate. The MSAF enhances segmentation by dynamically focusing on key regions, refining feature selection and minimizing errors, while the FFM optimizes the handling of spatial hierarchies and varying object sizes, improving boundary delineation. …”
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Projected Moisture Index (MI) for Tropical Sri Lanka by Charuni Wickramarachchi, Jayanga T. Samarasinghe, Yousif Alyousifi, Upaka Rathnayake

“…Results showed that the temporal and spatial variations of MIs are justifiable to the country’s rainfall patterns and seasons. …”
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