Urban structures and substructures by Mierzejewska Lidia

“…It will also propose an empirical research pattern. The term ‘substructures’ is taken to denote relatively autonomous, highly uniform wholes standing out in the spatial-functional structure of a town, distinguished on the basis of spatial relations generated by people. …”
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Modeling Spatial and Temporal Changes in Land-Uses and Land Cover of the Urmia Lake Basin Applying Cellular Automata and Markov Chain by Hadi Eskandari Damaneh, Hamid Gholami, Hassan Khosravi, Rasoul Mahdavi Najafabadi, Asadollah Khoorani, Gimmy Li

“…Their changes were explored between 1998, 2008, 2018, 2028, and 2038 to examine the changes in the four land-use classes in the target years. 3-Results and Discussion The analysis of the variation patterns in the study site indicated that the vegetation covers and build-up areas were increased versus 1998. …”
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Warming inland water in peninsular Spain revealed by landsat 5 analysis by Carolina Echavarría-Caballero, José Antonio Domínguez-Gómez, Concepción González-García, Raquel Domínguez-Perez, María Jesús García-García

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ANALISIS SPASIAL SEBARAN PENYAKIT MENULAR KOTA MAKASSAR TAHUN 2018 by Sukarna Sukarna, Awi Awi, Sutamrin Sutamrin

“…Population density correlates spatially with various aspects of community life, such as the number of people with infectious and non-infectious diseases, seasonal (endemic) or non-seasonal (epidemic), mild or severe, and regular or rare. …”
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Assessing U.S. public perceptions of global warming using social survey and climate data by Xiaoxiao Wei, Eve Bohnett, Li An

“…This paper presents a methodological approach for assessing the relationship between weather patterns, regional climate trends, and public perceptions of global warming in the United States with control of socioeconomic, political, and ideological variables. …”
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Integration of fuzzy logic and geographic weighted regression modeling for enhanced groundwater potential mapping using remote sensing and GIS by Junguang Gao, Amnah A. Alasgah, Imran Ahmad, Faten Nahas, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu

“…The integration of fuzzy logic and GWR demonstrated robust predictive performance and the ability to account for local spatial patterns. These results provide valuable insights for hydrological readers, guiding sustainable groundwater management practices and targeted water resource interventions in diverse environmental settings.…”
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Spatial, temporal and demographic distribution characteristics of adenomyosis symptom clusters from the perspective of traditional Chinese medicine: a multicenter cross-sectional s... by Xin Wang, Yu Tao, YuDan Fu, XinChun Yang, RuiHua Zhao

“…ObjectiveThis study aimed to explore the differences in symptom clusters of adenomyosis (AM) patients across spatial, temporal, and age-stratified dimensions based on the theory of “Treatment in Accordance with Three Categories of Etiologic Factors”.MethodsA cross-sectional study was conducted in China from 2020 to 2022, involving 1,816 AM patients. …”
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Parameter Estimation of Geographically and Temporally Weighted Elastic Net Ordinal Logistic Regression by Margaretha Ohyver, Purhadi, Achmad Choiruddin

“…The findings provide an advanced methodological approach for ordinal logistic regression models that incorporate spatial and temporal dependencies. This framework is particularly useful for applications in fields such as economic forecasting, epidemiology, and environmental studies, where ordinal responses exhibit spatial and temporal patterns.…”
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Spatially controlled multicellular differentiation of stem cells using triple factor-releasing metal–organic framework-coated nanoline arrays by Yeon-Woo Cho, Min-Ji Kang, Joon-Ha Park, Yun-Sik Eom, Tae-Hyung Kim

“…The sustained release patterned array holds potential for constructing advanced therapeutic and disease state in vitro cellular models.…”
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Roaming the Seas—Assessing Marine Invertebrate Biodiversity Along Salinity Gradients With Zooplankton and eDNA Metabarcoding by Alica Ohnesorge, Uwe John, Lucie Kuczynski, Stefan Neuhaus, Kingsly Chuo Beng, Bernd Krock, Silke Laakmann

“…Neither salinity nor spatial distance had a significant effect on species composition. …”
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Spatial relationship between carbon emissions and ecosystem service value based on land use: A case study of the Yellow River Basin. by Gubu Muga, Damien S Tiando, Chong Liu

“…Thus, focused on the Yellow River Basin (YRB), this study independently calculates carbon emissions from land use change (LUCE) and ecosystem service values (ESV) in the region. Utilizing spatial autocorrelation methods, we analyze the spatiotemporal pattern of LUCE and ESV and subsequently apply the bivariate spatial autocorrelation method to explore their spatial relationship. …”
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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 by Haoran Yin, Zhidong Zhu, Liurong Pan, Fangyang Zhu, Xuehua Wu

“…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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The Spatial Network Characteristics of the Coupling Coordination Degree Between Pollution and Carbon Reduction and High-Quality Development in the Yangtze River Economic Belt by Mengjiao Fan, Ying Wang, Sheng Ye, Chao Wei, Zhibin Xue

“…The spatial linkage strength and potential increased, while the spatial linkage pattern was steady. …”
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Spatial distribution of alluvial fans for evaluating tectonic activity: A case study from the Southern Kharqan mountain range, Hamadan Province by Esmaeil Najafi, Abolfazl Faraji Monfared, Mehdi Ahmadi

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Spatial and temporal evolution of tourism flows among 296 Chinese cities in the context of COVID-19: a study based on Baidu Index by Yibo Tang, Gangmin Weng, Simeng Qin, Yue Pan

“…Although a rebound is observed in 2023, it has not yet returned to pre-epidemic levels. (2) COVID-19 has impacted the spatial distribution pattern without altering the essential characteristic of “high in the East and low in the West.” …”
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SCS-Net: Stratified Compressive Sensing Network for Large-Scale Crowd Flow Prediction by Xiaoyong Tan, Kaiqi Chen, Min Deng, Baoju Liu, Zhiyuan Zhao, Youjun Tu, Sheng Wu

“…Most existing models overlook spatial heterogeneity, employing unified parameters to fit diverse crowd flow patterns across different spatial units, which limits their accuracy. …”
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Assessing spatial variability of soil macro fauna and tree canopy using fractal theory (Case study: Riparian Forest of Maroon River) by Shaieste Gholami, ehsan sayad, Hamid Taleshi

“…However, spatial patterns of soil biota, and the factors that determine them, will influence spatial patterns of decomposition, nutrient supply and, ultimately, the spatial structure of plant communities. …”
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A research on spatial configuration characteristics and social performance evaluation of public sports facilities in shanghai based on geographic information system (GIS). by Haonan Li, Lun Li, Yuan Li, Qing Ji, Jianbo Zhao, Zixi Ge, Qi Zhou, Quan Sun

“…Using geographic information system (GIS) tools and analytical methods such as kernel density estimation, standard deviation ellipse, spatial autocorrelation, Gaussian two-step moving search, and the Gini coefficient, the analysis yields the following findings: 1) Public sports facilities in Shanghai are concentrated in the central urban areas and exhibit scattered spatial distribution patterns in peripheral regions. …”
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An Adaptive Graph Convolutional Network with Spatial Autocorrelation for Enhancing 3D Soil Pollutant Mapping Precision from Sparse Borehole Data by Huan Tao, Ziyang Li, Shengdong Nie, Hengkai Li, Dan Zhao

“…We propose an adaptive graph convolutional network with spatial autocorrelation (ASI-GCN) model to overcome this challenge. …”
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Enhancing agricultural sustainability: Optimizing crop planting structures and spatial layouts within the water-land-energy-economy-environment-food nexus by Haowei Wu, Zhihui Li, Xiangzheng Deng, Zhe Zhao

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