Surface urban heat island distribution and socioeconomic inequalities in a major Latin American agglomeration by Jorge Méndez-Astudillo, Ernesto Caetano

“…Machine learning classifiers, including Random Forest and eXtreme Gradient Boosting, were applied to determine the importance of these variables in defining SUHI patterns. Physical variables (AOD, NDVI, and NDBI) and economic marginalization were found to significantly influence SUHI spatial patterns. …”
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Regional Pathways to Internationalization: The Role of Erasmus+ in European HEIs by Eleni Georgoudaki, Spyridon Stavropoulos, Dimitris Skuras

“…Employing hotspot analysis and a two-level random intercept model, this research analyses spatial patterns and the influences of regional characteristics and institutional variables on Erasmus mobility rates. …”
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Can ephapticity contribute to brain complexity? by Gabriel Moreno Cunha, Gilberto Corso, Matheus Phellipe Brasil de Sousa, Gustavo Zampier Dos Santos Lima

“…Recent advances in neuroscience have brought the mechanisms underlying the generation of highly intricate dynamics, emergent patterns, and sophisticated oscillatory signals into question. …”
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Quantitative analysis of the diffusion characteristics of China's long-term care insurance policy based on the PMC index model by Peixin Duan, Jiayi Wang, Ruisi Zhang, Haiyan Jia, Hui Sun, Yanfang Li

“…In terms of diffusion pathways, there is a combined effect of vertical and horizontal diffusion, reflecting a hierarchical diffusion pattern.DiscussionThis paper constructs a new analytical framework for studying policy diffusion. …”
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Estimation of soil thickness in karst landforms using a quantile regression forests approach by Fayong Fang, Ruyi Zi, Zhen Han, Qian Fang, Rui Hou, Longshan Zhao

“…This indicates that the model, and environmental factors evaluated within, explained a little less than half of the spatial variability. The prediction results reveal the distribution pattern of soil thickness at both regional and local scales within karst landforms. …”
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Optimization Simulation and Comprehensive Evaluation Coupled with CNN-LSTM and PLUS for Multi-Scenario Land Use in Cultivated Land Reserve Resource Area by Shaner Li, Chao Zhang, Chang Chen, Cuicui Yang, Lihua Zhao, Xuechuan Bai

“…A land use change simulation method coupling CNN-LSTM and PLUS was constructed to dynamically simulate the land use pattern, and the spatial accuracy of the simulation was improved. …”
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Spatiotemporal differentiation and trade-off/synergy relationships of ecosystem service values in a national park pilot area in China by Peng Wang, Le Li, Zhiqiang Gao, Nan Li, Dongyang Han

“…Forest land was the main contributor to ESV, and the type of ES with the highest contribution rate was regulating services. (2) Positive spatial autocorrelations were found for ESVs in the national park pilot area, indicating a clustered distribution pattern. …”
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Balancing tourism development and habitat conservation in fragile ecosystems: A case study of the Qinghai-Tibet Plateau. by Bo Yang, Jiawei Wu, Anna Miao, Jinlu Ran, Rong Jia

“…This case study reveals that the differences in spatial development caused by tourism fever on the Qinghai-Tibet Plateau are reshaping the ecosystem pattern. …”
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Enhancing County-Level GDP Estimation Accuracy With Downscaled NPP-VIIRS Nighttime Light Data by Weihua Lin, Weixing Xu, Zhaocong Wu, Jiaheng Cao

“…More importantly, the spatial distribution of GDP estimates derived from the downscaled NTL data more closely aligns with statistical GDP data, reflecting a more realistic geographic pattern. …”
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Spatio-Temporal Analysis of Tuberculosis Clusters in a Region of Topographic Diversity: A Case Study from West Sulawesi Province, Indonesia by Fahrul Islam, Haeranah Ahmad, Fajar Akbar, Ain Khaer, Iwan Suryadi, Muhammad Syukri, Kadar Ramadhan

“…Cluster detection and spatial pattern analysis were conducted using SaTScan version 10.2.5. …”
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Study on Ecosystem Service Values of Urban Green Space Systems in Suzhou City Based on the Extreme Gradient Boosting Geographically Weighted Regression Method: Spatiotemporal Chang... by Tailong Shi, Hao Xu

“…To examine the influencing mechanisms, we employed an innovative XGBoost-GWR approach, where XGBoost was used to screen globally significant factors from 37 potential drivers, and geographically weighted regression (GWR) was applied to model local spatial heterogeneity, providing a research perspective that balances global nonlinear relationships with local spatial heterogeneity. …”
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Analysis of Carbon Stock Evolution and Its Vulnerability Characteristics Based on Land Use Change in Guizhou Province by Chen Darong, Zhou Xu, Yang Shengtian, Pei Yu, Hu Yuxue, Hu Feng

“…[Objective] The spatial and temporal distribution pattern and evolution characteristics of ecosystem carbon storage, its response to land use change, and the vulnerability of ecosystem carbon storage service in each county of Guizhou Province were analyzed in order to provide a scientific basis and reference for regional land use management decision-making and to realize the “dual carbon” goal. …”
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Built environment and residential blocks carbon emissions: a study using advanced metering infrastructure data by Xiaoping Zhang, Xiaoping Zhang, Zixuan Cui, Chaoxian Feng, Xin Wen, Huabin Xiao, Jianbo Ni

“…Spatial autocorrelation analysis indicates a significant positive correlation and a west-south clustering pattern. (3) Land area (LA) is the main emissions affecting factor, followed by green space ratio (GSR) and Land use mixing degree (LMD), whose inhibitory effect exceeds that of traditional high-intensity development indicators. (4) Targeted planning strategies such as strictly controlling land use expansion, improving GSR, and promoting functional combination were proposed. …”
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Evaluating livelihood resilience in the Qinghai-Tibet Plateau's pastoral communities: Insights from an entropy-TOPSIS and geospatial analysis approach by Tong Li, Lizhen Cui, Zhihong Xu, Xiaoyong Cui, Yanfen Wang

“…At the heart of our analytical approach is the entropy-TOPSIS method, utilized to dissect the livelihood resilience and sustainability of local herders, revealing intricate spatial resilience patterns through spatial autocorrelation analysis. …”
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Bayesian Unsupervised Machine Learning Approach to Segment Arctic Sea Ice Using SMOS Data by Christoph Herbert, Adriano Camps, Florian Wellmann, Mercedes Vall‐llossera

“…In this work, Arctic sea ice is segmented using a Bayesian unsupervised learning algorithm aiming to recognize spatial patterns by harnessing multi‐incidence angle brightness temperature observations. …”
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Microbial community dynamics in shallow-water grass-type lakes: Habitat succession of microbial ecological assembly and coexistence mechanisms by Chen Feng, Junping Lu, Tingxi Liu, Xiaohong Shi, Shengnan Zhao, Chunjian Lv, Yujiao Shi, Zixuan Zhang, Yuqi Jin, Jiaqi Pang, Aojie Sun

“…The bacterial communities exhibited a significant distance decay pattern, with a higher spatial turnover rate in water than in sediment. …”
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Volumetric evolution of supraglacial lakes in southwestern Greenland using ICESat-2 and Sentinel-2 by T. Feng, T. Feng, X. Ma, X. Ma, X. Liu, X. Liu, X. Liu

“…Quantitatively characterizing the spatial and temporal changes in the volume of SGLs can provide further insights into the surface mass balance changes of the ice sheet during the melt season. …”
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Using geographically weighted regression analysis to cluster under-nutrition and its predictors among under-five children in Ethiopia: Evidence from demographic and health survey. by Amare Muche, Mequannent Sharew Melaku, Erkihun Tadesse Amsalu, Metadel Adane

“…ArcGIS version 10.5 software was used for global, local and ordinary least square analysis and mapping. The spatial autocorrelation (Global Moran's I) statistic was held in order to assess the pattern of wasting, stunting, and underweight whether it was dispersed, clustered, or randomly distributed. …”
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Analysis the status and spatio-temporal characteristics of the synergistic development of China’s multi-level medical insurance system by Zenghui Qiu, Meiling Fu, Lanfang Liu, Lan Yao, Shanshan Yin, Wen Chen, Jingjing Huang, Jiahui Jin

“…Furthermore, findings from local spatial autocorrelation analysis suggest a gradual attenuation in the spatial clustering disparity of CCI across various provinces. …”
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Density‐Dependent Effects on the Reproductive Ecology of Trees in a Temperate Woodland by Eleanor E. Jackson, Matthew P. Greenwell, James M. Bullock, Tom H. Oliver, Susie Topple, Christopher W. Foster, Sofia Gripenberg

“…The drop of both immature and mature fruits increased with the density of reproductive conspecifics in this system, with potential implications for spatial patterns of seedling recruitment.…”
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