IMPLEMENTATION OF THE DBSCAN METHOD FOR CLUSTER MAPPING OF EARTHQUAKE SPREAD LOCATION by Muhammad Bariklana, Achmad Fauzan

“…This research began with nearest-neighbor analysis to see patterns of data distribution. If the data distribution pattern is grouped, then DBSCAN analysis can be continued. …”
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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

“…Abstract The nested species-area relationship, obtained by counting species in increasingly larger areas in a nested fashion, exhibits robust and recurring qualitative and quantitative patterns. When plotted in double logarithmic scales it shows three phases: rapid species increase at small areas, slower growth at intermediate scales, and faster rise at large scales. …”
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Unsupervised machine learning-based multi-attributes analysis for enhancing gas channel detection and facies classification in the serpent field, offshore Nile Delta, Egypt by Shaimaa A. El-Dabaa, Farouk I. Metwalli, Ali Maher, Amir Ismail

“…In this study, the single attribute (spectral decomposition attribute) highlighted the gas channel spatial distribution using three distinct frequency magnitude values. …”
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Climatology Definition of the Myanmar Southwest Monsoon (MSwM): Change Point Index (CPI) by Kyaw Than Oo

“…We are investigating spatial patterns of rainfall progression at and after the start of the monsoon, rather than transitions within a single region of the MSwM. …”
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Thermal Footprint of the Urbanization Process: Analyzing the Heat Effects of the Urbanization Index (UI) on the Local Climate Zone (LCZ) and Land Surface Temperature (LST) over Two... by Nadia Falah, Jaime Solis-Guzman, Nahid Falah

“…ENVI, GEE, and GIS tools are utilized to collect, process, and monitor satellite data and imagery of temporal and spatial variations in intensive or diffuse urbanization processes from 2003 to 2023 to analyze and simulate land use and land cover (LULC) changes, urbanization index (UI), LCZ patterns, and LST changes over the years and to make overlapping maps of changes to recognize the relation between LULC, LCZ, and LST. …”
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Dynamic Simulation and Reduction Path of Carbon Emission in “Three-Zone Space”: A Case Study of a Rapidly Urbanizing City by Ying Wang, Yiqi Fan, Haiyang Li, Zhiyu Shang

“…Understanding the current and future net carbon emission trajectories in “Three-Zone Space” is crucial for China to promote the formation of a low-carbon development pattern in territorial space and realize carbon neutrality. …”
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Landslide Susceptibility Prediction Based on a CNN–LSTM–SAM–Attention Hybrid Model by Honggang Wu, Jiabi Niu, Yongqiang Li, Yinsheng Wang, Daohong Qiu

“…This substantial improvement is attributed to the model’s enhanced capability in capturing complex spatio-temporal patterns and dynamically weighting critical spatial features through the integrated Spatial Attention Mechanism (SAM). …”
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Simulating Dropsondes to Assess Moist Static Energy Variability in Tropical Cyclones by Jacob D. Carstens, Allison A. Wing

“…We use idealized convection‐permitting simulations to examine how MSE variability, and the feedbacks that influence it, are resolved using selected patterns of grid points meant to resemble dropsonde launch points in reconnaissance flight patterns. …”
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Chlorophyll-a Outliers in the Banda Sea and its surroundings: Implications for Ecosystem Dynamics by Sunarwan Asuhadi, Mukti Zainuddin, Safruddin Safruddin, Musbir Musbir, Achmad Fachruddin Syah

“…This study aims to investigate the dynamics of chlorophyll-a concentration outliers in the Banda Sea, focusing on their spatial and temporal patterns from 2010 to 2022. Data were acquired from MODIS satellite imagery and analyzed using R Studio for time series decomposition, while spatial patterns were explored with ArcGIS 10.8 and Google Maps to pinpoint key hotspots of outlier activity. …”
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Beyond proximity: A review and framework to further understanding of greenspace accessibility in the x‐minute city by Andrew Schendl, James M. Bullock, Ronaldo Menezes, Simon Willcock

“…This review synthesizes methods from three distinct fields to develop a more comprehensive understanding of greenspace accessibility: geographic information science (GIScience), which provides spatial analytical tools; behavioural ecology (BE), which offers frameworks for understanding movement decisions; and human mobility analysis, which reveals movement patterns through the urban environment. …”
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Regional changes in the prevalence of Parkinson’s disease over a ten-year period in the state of Texas by Sean G. Young, Kathryn Elwell, Christopher R. Watts

“…We measured the within-state prevalence patterns of PD within the state of Texas, United States, over a ten-year period to include factors of sex and race/ethnicity, with a specific focus on county and regional patterns. …”
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Emphasizing the Role of Human Activities and Extreme Floods in Riverbed Evolution: Inspiration from Hainan Island by Wei Zha, Xiaoqi Chen, Duofeng Wu, Siyang Yao, Zhaonan Li

“…The results showed that the average water depth of both rivers significantly increased, but the spatial-temporal variation patterns were different. …”
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Spatiotemporal Gait Asymmetries Remain Unaffected by Increased Load Carriage in Professional Intervention Police Officers by Davor Rožac, Mario Kasović, Damir Knjaz

“…Background: Although evidence indicates that load carriage may have an influence on walking patterns, the specific impacts of progressively increased loads on spatial and temporal gait asymmetries remain underexplored. …”
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Alluvial Fan Fringe Reservoir Architecture Anatomy—A Case Study of the X4-X5 Section of the Xihepu Formation in the Kekeya Oilfield by Baiyi Zhang, Lixin Wang, Yanshu Yin

“…The study focuses on the spatial combination of microfacies units along the profile and their internal distribution patterns. …”
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Migrations of city dwellers to suburban areas – the example of the city of Olsztyn by Szczepańska Agnieszka, Senetra Adam

“…In the present study, migration patterns were investigated in rural districts located in the direct vicinity of the administrative boundaries of Olsztyn over a 10-year timespan. …”
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Connectome-based prediction of functional impairment in experimental stroke models. by Oliver Schmitt, Peter Eipert, Yonggang Wang, Atsushi Kanoke, Gratianne Rabiller, Jialing Liu

“…Experimental rat models of stroke and hemorrhage are important tools to investigate cerebrovascular disease pathophysiology mechanisms, yet how significant patterns of functional impairment induced in various models of stroke are related to changes in connectivity at the level of neuronal populations and mesoscopic parcellations of rat brains remain unresolved. …”
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FAULTING IN THE LITHOSPHERE: THE 35TH ANNIVERSARY OF THE IRKUTSK SCHOOL OF TECTONOPHYSICS by S. I. Sherman, K. Zh. Seminsky, S. A. Bornyakov

“…With reference to the ZBS concept, the Baikal rift was studied, and the soil radon concentration pattern of Pribaikalie was analysed and its main spatial and temporal regularities were revealed.Comprehensive geological, structural, tectonophysical and geoelectrical studies were conducted in the Cenozoic and Mesozoic basins of Pribaikalie and Transbaikalie, and results were consolidated and published. …”
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Centres of species richness, neoendemism, and paleoendemism for marine fishes occur in different regions of Aotearoa New Zealand by André P. Samayoa, J. David Aguirre, Adam N. H. Smith, Libby Liggins

“…Biogeography has traditionally relied on species-based measures of biodiversity, partially reflecting the processes shaping spatial patterns. Incorporating the evolutionary relationships among taxa can provide a greater understanding of how distinct processes define different regional patterns over time. …”
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Unsupervised spatio-temporal state estimation for fine-grained anomaly diagnosis of cyber-physical systems by SUN Haili, HUANG Yan, HAN Lansheng, ZHOU Chunjie

“…MAD-Transformer first constructed temporal state matrixes to characterize and estimate the evolutionary patterns of system states along the time dimension. …”
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SASTGCN: Semantic-Augmented Spatio-temporal graph convolutional network for subway flow prediction by Shiyuan Jin, Changfeng Jing, Sheng Yao, Yushan Zhang, Pu Zhao, Jinlong Zhang

“…The proposed model can provide inspiration for the follow-up research of passenger flow prediction, traffic pattern recognition and dynamic scheduling.…”
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