Stereopy: modeling comparative and spatiotemporal cellular heterogeneity via multi-sample spatial transcriptomics by Shuangsang Fang, Mengyang Xu, Lei Cao, Xiaobin Liu, Marija Bezulj, Liwei Tan, Zhiyuan Yuan, Yao Li, Tianyi Xia, Longyu Guo, Vladimir Kovacevic, Junhou Hui, Lidong Guo, Chao Liu, Mengnan Cheng, Li’ang Lin, Zhenbin Wen, Bojana Josic, Nikola Milicevic, Ping Qiu, Qin Lu, Yumei Li, Leying Wang, Luni Hu, Chao Zhang, Qiang Kang, Fengzhen Chen, Ziqing Deng, Junhua Li, Mei Li, Shengkang Li, Yi Zhao, Guangyi Fan, Yong Zhang, Ao Chen, Yuxiang Li, Xun Xu

“…Here, we present Stereopy, a flexible framework for modeling and dissecting comparative and spatiotemporal patterns in multi-sample spatial transcriptomics with interactive data visualization. …”
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Spatial Variation of Reservoir Properties in Onshore Dove Field of the Niger Delta Region, Nigeria by P.T. John, G. Emujakporue, D.C. Okujagu

“…Pattern maps, Sequential Gaussian Simulation (SGS), and geostatistics Variogram, were used to determine the reservoir spatial variation property. …”
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Spatial characteristics and construction logic of traditional market under land-water transportation influences by Jianqiang Yin, Mengyan Jia, Jingzhao Feng

“…The results show that the settlements in Dongguan Market present a heterogeneous spatial distribution pattern, which can be divided into three spatial types: the strip type extending linearly along the water system, the block type dominated by clan power, and the Concave-convex derived from the expansion of the traffic network. …”
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Spatial heterogeneity analysis of seeding of human induced pluripotent stem cells for neuroectodermal differentiation by Ali Ahmed Issa Qatan, Shinji Tanbara, Masakazu Inamori, Kazuhiro Fukumori, Masahiro Kino–oka

“…Results: Indices for spatial heterogeneity following high–density cell seeding were proposed to assess cell distribution patterns. …”
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A novel spatial heterogeneity decay model for depicting scale-effects in urban land by Weilin Wang, Rong Wang, Yangyang Lu, Yuanyuan Meng, Zhou Zhou

“…A semi-variogram function was employed to quantify SHUL across multiple spatial scales, revealing an exponential decay pattern. …”
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Stakeholders’ perspectives, placemaking and tactical urbanism on the spatial reconfiguration of urban schools in Timişoara, Romania by Adelina Camelia Tuță, Alexandru Dragan, Remus Crețan, Melinda Dincă

“…The existing urban schools’ spatial patterns are not optimal, and changes to the reconfiguration of the school environment should be planned based on the collaboration of relevant stakeholders and on the specific needs of users of school places.…”
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Canopy Height and Climate Dryness Parsimoniously Explain Spatial Variation of Unstressed Stomatal Conductance by Yanlan Liu, Olivia Flournoy, Quan Zhang, Kimberly A. Novick, Randal D. Koster, Alexandra G. Konings

“…When aggregated by PFTs, the across‐PFT pattern was highly consistent with the parameterizations of LSMs. …”
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GIS-based analysis of spatio-temporal clustering of road traffic accidents in Bangkok Metropolitan Region (BMR), Thailand from 2012 to 2021 by Pawinee Iamtrakul, Sararad Chayphong

“…Most fatalities and injuries resulting from Road Traffic Accidents (RTAs) exhibit distinct spatial and temporal patterns which have adverse implications for both regional economies and demographic structures. …”
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Dengue Hemorrhagic Fever in Jepara, Indonesia: Ecological and spatial study based on Environment Parameters by Salsabila Zidny, Martini Martini, Wurjanto Muhammad Arie, Hestiningsih Retno, Yuliawati Sri

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Spatial and Temporal Distribution and Influencing Factors of “Water-Energy-Food-Ecology” System Resilience by Yaofeng Yang, Yajuan Chen, Xiuqing Li

“…The results indicate that WEFE system resilience in the Yellow River Basin exhibits a fluctuating upward trend. Spatially, a pattern of “low in the middle and upstream regions, high in the downstream regions” emerges. …”
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Spatial distribution of micronutrients in Pekalongan coastal waters: water quality and environmental impact assessment by Roy Andreas, Intan Megasari, Bayu Tricahyo, Mukti Trenggono, Michael Julian Haryanto

“…This study aims to explore the distribution patterns and abundance of micronutrients in Pekalongan coastal and their implications for water quality and environmental impacts. …”
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Spatial temporal variability and driving factors of ecological security in the northern slope of Qinling Mountains by HOU Kang, TANG Haojie, MA Lixia, LIU Jiawei, WU Siqi

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Spatial Distribution Characteristics and Driving Factors of Formicidae in Small Watersheds of Loess Hilly Regions by Yu Tian, Fangfang Qiang, Guangquan Liu, Changhai Liu, Ning Ai

“…This study reveals the spatial distribution pattern of Formicidae in the Loess Hilly Region and its complex relationship with environmental factors, and clarifies the importance of considering spatial heterogeneity when analyzing ecosystem processes. …”
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Measurement, Regional Disparities, and Spatial Convergence in the Symbiotic Level of China’s Digital Innovation Ecosystem by Shengnan Li, Zhouzhou Lin, Yingwen Wu, Yue Hu

“…The results are as follows: (i) At the national level, the symbiotic level of China’s digital innovation ecosystem has generally increased, creating a spatial distribution pattern that is “high in the east, flat in the middle, and low in the west”. …”
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Analysis of the Characteristics and Agglomeration Effect of the Rural Element Spatial Correlation Network in Northeast China by Yu Sun, Jing Ning, Yongxin Piao

“…Each province has generated a strong connection center, and “strip-shaped” connection belts have been formed across provinces and cities. (2) From the perspective of the spatial pattern of the strong connection attributes of rural elements, Heilongjiang Province presents a polygonal “rhombus network”, Jilin Province presents a closed-loop “triangle network”, and Liaoning Province presents an irregular “trapezoid network”. (3) The connection relationships of rural element nodes within the provincial scope show that Yichun is an important hub connecting all directions within the province; Changchun and Siping have become the central nodes connecting the nodes on the northwest–southeast wings; Fuxin and Yingkou have become the central locations connecting the nodes on the southwest–northeast sides. (4) There are four sectors in the network, and the rural element transfer mechanism among the sectors shows that Block I and Block II are net spillover sectors, playing the role of “resource-based” sectors, and transmitting information to the net inflow Block IV through the broker Block III, presenting a “gradient” transmission mode.…”
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Spatial Characterization of Channeling in Sheared Rough‐Walled Fractures in the Transition to Nonlinear Fluid Flow by Robert Egert, Fabian Nitschke, Maziar Gholami Korzani, Thomas Kohl

“…Abstract Accurate quantification of spatially resolved fluid flow within fractures is crucial for successful reservoir development, such as Enhanced Geothermal Systems. …”
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Small Scale Spatial Variability of Apparent Electrical Conductivity within a Paddy Field by W. Aimrun, M. S. M. Amin, M. H. Ezrin

“…The results showed that deep ECa visualized the pattern of the former river routes clearly as continuous lines (about 45 m width) at the northern and central regions of the study area. …”
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Spatial and Temporal Correlations-Based Routing Algorithm in Intermittent Connectivity Human Social Network by Zhou Tao, Xu Hongbin, Liu Ming, Liu Nianbo, Gong Haigang

“…Owing to its intermittent connectivity and unique human mobility patterns, how to transmit data in an effective way is a challenging problem for the social network. …”
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Composition and Spatial Distribution of Benthic Foraminifera from Two Tropical Estuaries (7° S, Brazil) by Bruna Marinho Alves, Patricia Beck Eichler-Barker, Miodeli Nogueira Júnior

“…This study investigates the composition and spatial distribution of benthic foraminiferal assemblages in the estuaries of the Mamanguape and Paraíba rivers in Northeast Brazil. …”
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Spatial-temporal load prediction of electric bus charging station based on S2TAT by Guangnian Xiao, Hailin Tong, Yaqing Shu, Anning Ni

“…To improve charging event prediction, we propose two key improvements: an adaptive adjacency matrix for dynamic spatial dependencies learning and a periodicity extraction mechanism for capturing cyclical patterns. …”
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