A new approach for monitoring spatial and temporal changes in forest types in subtropical regions with sample migration and multi-source remote sensing data by Pengfei Zheng, Dongyang Han, Jiang Liu, Bin Xu, Panfei Fang, Shaodong Huang, Wendou Liu, Shaozhi Chen

“…Accurate and cost-effective monitoring of forest-type distribution and dynamics is crucial for managing the rich resources and complex ecosystems of subtropical regions. However, the region’s complex terrain and climate conditions pose significant challenges to precise forest classification and change detection. …”
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The Impact of New Urbanization on Urban Land Green Use Efficiency in the Middle and Lower Yellow River, China: An Analysis Based on Spatial Correlation Networks by Jianji An, Qiangjun Su, Xuefeng Yuan

“…Betweenness centrality and degree centrality improved, while closeness centrality declined. (3) The comprehensive system of multi-dimensional new urbanization and its spatial correlation exerted a complex influence on ULGUE. …”
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Interactive Cognitive-Motor Step Training Improves Cognitive Risk Factors of Falling in Older Adults - A Randomized Controlled Trial. by Daniel Schoene, Trinidad Valenzuela, Barbara Toson, Kim Delbaere, Connie Severino, Jaime Garcia, Thomas A Davies, Frances Russell, Stuart T Smith, Stephen R Lord

“…Low adherers improved in less complex functions while high-adherers improved in EF.…”
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Modelling effective soil depth at field scale from soil sensors and geomorphometric indices by Mauricio Castro Franco, Marisa Domenech, José Luis Costa, Virginia Carolina Aparicio

“…ECa and ESD values showed complex spatial pattern at short distances. RF parameters with lowest error (OOBerror) were calibrated. …”
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Landslide Susceptibility Level Mapping in Kozhikode, Kerala, Using Machine Learning-Based Random Forest, Remote Sensing, and GIS Techniques by Pradeep Kumar Badapalli, Anusha Boya Nakkala, Raghu Babu Kottala, Sakram Gugulothu, Fahdah Falah Ben Hasher, Varun Narayan Mishra, Mohamed Zhran

“…Landslides are among the most destructive natural hazards in the Western Ghats region of Kerala, driven by complex interactions between geological, hydrological, and anthropogenic factors. …”
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A study of dominant factors in the coupled coordination of population–ecology–energy–digital economy in China based on random forest algorithm by Qikang Zhong, Jiawei Zhu, Zhe Li

“…Using panel data from 31 Chinese provinces over the period 2011–2020, we construct a PEED coordination index and analyze its evolution through coupling coordination models, spatial autocorrelation (Moran’s I), the Geodetector model, and a Random Forest algorithm with SHAP analysis. …”
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The effect of transcranial random noise stimulation on the movement time and components of noise, co-variation, and tolerance in a perceptual-motor task by Fatemeh Salehi, Mohammadreza Doustan, Esmaeel Saemi

“…Abstract There exist numerous factors that contribute to the amplification of errors and complexity in motor processes, among which variability and noise are particularly noteworthy. …”
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Graph-Based Warm Solutions for Optimal Resilience Enhancement of Water Distribution Networks by Mohsen Hajibabaei, Amin Minaei, Mohsen Shahandashti, Robert Sitzenfrei

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Les noms de tranchées et de boyaux de la Grande Guerre en Champagne by Alain Devos, Pierre Taborelli, Robin Perarnau

“…The toponymy of battlefield and more particularly the trench names of the Great War remains little known without spatial analysis or statistics. The study of trench maps reveals the western front is made of a dense and complex defense network structured according to the geomorphological conditions. …”
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Analysis of the Predictors of Mortality from Ischemic Heart Diseases in the Southern Region of Brazil: A Geographic Machine-Learning-Based Study by Amanda de Carvalho Dutra, Lincoln Luis Silva, Isadora Martins Borba, Amanda Gubert Alves dos Santos, Diogo Pinetti Marquezoni, Matheus Henrique Arruda Beltrame, Rogério do Lago Franco, Ualid Saleh Hatoum, Juliana Harumi Miyoshi, Gustavo Cezar Wagner Leandro, Marcos Rogério Bitencourt, Oscar Kenji Nihei, João Ricardo Nickenig Vissoci, Luciano de Andrade

“…Background: Mortality due to ischemic heart disease (IHD) is heterogeneously distributed globally, and identifying the sites most affected by it is essential in developing strategies to mitigate the impact of the disease, despite the complexity resulting from the great diversity of variables involved. …”
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Spatial Gap-Filling of Himawari-8 Hourly AOD Products Using Machine Learning with Model-Based AOD and Meteorological Data: A Focus on the Korean Peninsula by Youjeong Youn, Seoyeon Kim, Seung Hee Kim, Yangwon Lee

“…This study introduces a spatial gap-filling method for Himawari-8/Advanced Himawari Imager (AHI) hourly AOD data, using a Random Forest (RF) model that integrates meteorological variables and model-based AOD data. …”
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Air pollution’s numerical, spatial, and temporal heterogeneous impacts on childhood hand, foot and mouth disease: a multi-model county-level study from China by Zhangying Tang, Qi Sun, Jay Pan, Mingyu Xie, Zhoufeng Wang, Xiaojun Lin, Xiuli Wang, Yumeng Zhang, Qingping Xue, Yanchen Bo, Jinfeng Wang, Xin Liu, Chao Song

“…Key influential factors were identified using random forest (RF) under the stationary assumption. …”
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An evaluation of single and multi-date Landsat image classifications using random forest algorithm in a semi-arid savanna of Ghana, West Africa by Eric Adjei Lawer

“…This study investigates the performance of single-date and multi-date Landsat images as well as the relationship between different LULC schemes (simple [2 and 4 classes] and complex [6 and 9 classes]) and the resulting classification accuracy. …”
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Robustness evaluation of bus-subway composite network considering accessibility by Yi Cao, Xiangzun Bu, Jialong Zhang

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Retrieval of non-optical active water quality parameters in complex Lake environments using a novel zoning-based ensemble modeling strategy by Cheng Cai, Linlin Liu, Ziming Wang, Wei Pang, Congshuo Bai, Huanxue Zhang

“…Remote sensing technology has provided significant support for the spatial and quantitative limitations of traditional water quality monitoring methods. …”
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New Emerging and Comprehensive Land Mapping Unit at Detailed Scale: Integrating Random Forest Analysis and Remote Sensing Techniques for Sustainable Land Management by Aditya Nugraha Putra, Reni Ustiatik, Novandi Rizky Prasetya, Erza Aulia Adara, Istika Nita, Syamsu Ridzal Indra Hadi, Soemarno Soemarno, Sudarto Sudarto, Sri Rahayu Utami, Mochammad Munir, Mochtar Lutfi Rayes

“…Precise and detailed land mapping is essential for sustainable land management, environmental conservation, and regional planning, especially in complex and diverse landscapes. This study aims to present an innovative framework for the development of Land Mapping Units (LMUs) at a detailed scale (1:20,000), through the integration of Random Forest (RF) analysis and high-resolution remote sensing data. …”
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Urban Street Network Configuration and Property Crime: An Empirical Multivariate Case Study by Erfan Kefayat, Jean-Claude Thill

“…Crime is not randomly distributed and built-environment characteristics, such as street network configuration, impact criminal activity through spatial dependence effects at multiple scales. …”
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Acoustic Wave Correlation Tomography of Time-Varying Disordered Structures by Gregory SAMELSOHN, Saad TAPUCHI

“…The results may be useful in probing the statistical structure of various random media with both spatial and temporal resolution.…”
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Presenting a model for determining the level of technological complexity of research and development activities in knowledge-based companies (case study: companies based in Golesta... by Gholamali shahmoradi, Taghi Torabi, Reza Radfar, Mohammadhasan Cheraghali

“…In this research, while examining two existing empirical measures of technological complexity, including the reflection approach (Hidalgo &Hausman, 2009) and the knowledge synthesis difficulty approach (Fleming & Sorenson, 2001), a new approach of structural complexity is presented , and then, using these three approaches, Five indicators are provided to measure the complexity of technology based on the criteria of increasing complexity over time, larger research and development, collaborative research and development, and spatial concentration. …”
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Advancing sustainable agricultural: A novel framework for mapping annual 30-m resolution national-level irrigated croplands by Enyu Du, Fang Chen, Huicong Jia, Jinwei Dong, Lei Wang, Yu Chen

“…Owing to the lack of extensive training samples and the limitations of coarse spatiotemporal resolution data in complex agricultural regions, China’s irrigated croplands are difficult to map with a unified spatiotemporal framework. …”
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