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Temporal and Spatial Evolution and Driving Force Analysis of Water Conservation Function in Yunnan Province Based on Climate and Land Use Change
Published 2024-10-01“…The main driving factors of temporal and spatial changes in water conservation in Yunnan Province were identified by using the optimal parameter geodetector. …”
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Bus Network Adjustment Pre-Evaluation Based on Biometric Recognition and Travel Spatio-Temporal Deduction
Published 2024-11-01“…Traditional simulation methods, however, face limitations in identifying passengers and understanding how their travel patterns may change. To address this issue, a pre-evaluation method has been developed, leveraging the spatial distribution of bus networks and the spatio-temporal behavior of passengers. …”
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Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs
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Research on Spatial–Temporal Coupling and Driving Factors of Regional Economic Resilience and Port Logistics: Empirical Evidence from Southern Guangxi, China
Published 2025-06-01“…Based on a comprehensive evaluation index system for regional economic resilience and port logistics development, this study employs multiple methodologies including coupling coordination degree model, kernel density estimation, gravity center model, spatial autocorrelation model, and geographic detector model to explore the spatial–temporal evolution patterns and driving factors of coupling coordination between regional economic resilience and port logistics in the Guangxi Beibu Gulf Economic Zone from 2012 to 2022. …”
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A Task-Related EEG Microstate Clustering Algorithm Based on Spatial Patterns, Riemannian Distance, and a Deep Autoencoder
Published 2024-12-01“…Methods: We propose an innovative algorithm for analyzing task-related EEG microstates based on spatial patterns, Riemannian distance, and a modified deep autoencoder. …”
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Spatial and temporal distribution of potentially toxic elements and human health risk assessment in the gold mining area of Santa Rosa, Southern Ecuador
Published 2025-08-01“…However, it also poses significant public health and environmental challenges. This study evaluates the presence of potentially toxic elements (PTEs) in water bodies in the Santa Rosa mining area, aiming to determine the spatial and temporal distribution of PTEs, as well as quantify the health risk for individuals who use the rivers for recreational purposes. …”
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Study on the incremental carbon sink of tea plantations under spatio-temporal variation characteristics
Published 2025-03-01“…It is of great significance to clarify the spatial and temporal patterns of carbon sinks in tea plantations, and to analyse the driving factors of carbon sinks in tea plantations, in order to understand the characteristics of carbon sinks in tea plantations, and to expand the ways of increasing carbon sinks in tea plantations. …”
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Spatial and temporal evolution of ecotourism development level and its driving factors under the perspective of sustainable development: the case of Ili river valley.
Published 2025-01-01“…Using the standard deviation ellipse, classic Markov chain, and spatial Markov chain, the temporal and spatial evolution characteristics are examined. …”
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Comparative and critical analysis of data sources used for ship traffic spatial pattern analysis in Canada and across the global Arctic
Published 2025-06-01“…Covering the years 2011 to 2022, the analysis assesses spatial and temporal metrics for each dataset while employing robust data cleaning techniques to address signal manipulation and detection gaps. …”
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Ventilation Optimization Based on Spatial-Temporal Distribution and Removal Efficiency of Patient-Exhaled Pollutants in Hospital Wards During the Post-Epidemic Period
Published 2024-11-01“…A discrete phase model (DPM) is employed to simulate the spatial-temporal dispersion characteristics of four different particle sizes (3 μm, 12 μm, 20 μm, and 45 μm) exhaled by the infected patient (Patient 1) over 300 s. …”
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An interactive platform for the analysis of landscape patterns: a cloud-based parallel approach
Published 2019-04-01“…The common approach to detect changes in landscape patterns is to evaluate the spatial and temporal variation of well known, established metrics. …”
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A Deep Learning Method for Improving Community Multiscale Air Quality Forecast: Bias Correction, Event Detection, and Temporal Pattern Alignment
Published 2025-06-01“…The model is trained here, using data from ten stations in Texas, enabling it to capture both spatial and temporal patterns in atmospheric behavior. …”
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Spatio-temporal Variation of Landuse Carbon Budget and Carbon Compensation Zoning in Beibu Gulf Urban Agglomeration Area
Published 2022-10-01“…[Objective] The evolution characteristics and coupling coordination relationship between the spatial scale of cities, and the spatiotemporal pattern of the carbon budget in urban agglomeration areas were analyzed, and a regional evaluation system for carbon compensation was constructed in order to provide a reference for implementing strategies at the urban agglomeration level to achieve the goal of carbon neutrality. …”
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Spatial–Temporal Characteristics and Influencing Factors of Carbon Emission Performance: A Comparative Analysis Between Provincial and Prefectural Levels from Global and Local Pers...
Published 2025-05-01“…To support China’s “3060” dual carbon targets, this study quantitatively evaluates the spatial–temporal characteristics and influencing factors of carbon emission performance (CEP) across administrative levels. …”
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