Spatial Patterns and Environmental Influences on Soil Surface Collembola in Forest and Non-Forest Ecosystems by Noor Farikhah Haneda, Priyanto, Muhammad Hamdani

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Spatial and seasonal accessibility of marine research weather windows in the polish exclusive economic zone by Maria Kubacka, Dariusz Barbucha, Adam Krężel, Juliusz Gajewski

“…Abstract This study focuses on analysing weather windows in the Polish Exclusive Economic Zone of the southern Baltic Sea, assessing the spatial and temporal variability of sea conditions that influence the accessibility of marine areas for research and offshore operations. …”
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Enhancing urban air quality prediction using time-based-spatial forecasting framework by Shrikar Jayaraman, Nathezhtha T, Abirami S, Sakthivel G

“…The proposed Time-Based-Spatial (TBS) forecasting framework is integrated with spatial and temporal information using machine learning techniques on data collected from a wide range of cities. …”
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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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Estimation for spatial semi-functional partial linear regression model with missing response at random by Benchikh Tawfik, Almanjahie Ibrahim M., Fetitah Omar, Attouch Mohammed Kadi

“…The aim of this article is to study a semi-functional partial linear regression model (SFPLR) for spatial data with responses missing at random (MAR). …”
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Landscape–Ecological Problems Resulting from Spatial Conflicts of Interest in the Poľana Biosphere Reserve by Zita Izakovičová, Jakub Melicher, Jana Špulerová, Marta Dobrovodská, Veronika Piscová

“…By intersecting these phenomena, spatial delineation of the conflicts of interest has been achieved. …”
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Climate–carbon-cycle interactions and spatial heterogeneity of the late Triassic Carnian pluvial episode by Xiangdong Zhao, Naihua Xue, Hu Yang, Daran Zheng, Jungang Peng, Joost Frieling, David De Vleeschouwer, Xuewu Fu, Wanglu Jia, Yanan Fang, Sha Li, Meng Wang, Xianye Zhao, Qiang Wang, Haichun Zhang, Jingeng Sha, Hugh C. Jenkyns, Philippe Claeys, Bo Wang

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Spatial and Temporal Variability of Precipitation in Haihe River Basin, China: Characterization and Management Implications by Yuzhou Luo, Zhonggen Wang, Xiaomang Liu, Minghua Zhang

“…In the companion paper, we presented precipitation data in the HRB during 1951–2010 and reported its basic statistics such as temporal trend and spatial variability. …”
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Spatial and temporal variability of snow cover in the southern forest-steppe of the Upper Ob River by N. I. Bykov, D. V. Chernykh, D. K. Pershin, R. Yu. Biryukov, L. F. Lubenets, D. V. Zolotov

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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

“…However, integrating multi-sample data in a unified way to explore cellular heterogeneity remains challenging. 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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Towards Effective Participation: A Stakeholder-Centered Evaluation for Aggregating Spatially Explicit Data by Sebastian Leahy, Eduardo Dias

“…Utilizing a paper mapping activity with community residents, the collected spatial data points were analyzed using both democratic and weighted aggregation. …”
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Research on the Spatial Distribution and Influencing Factors of Digital Creative Industry—Take Shenzhen as an Example by Zhiyi Gan, Yan Zhang, Nengjun Chen, Ruipeng Li

“…Among them, the density of shopping facilities, staff, hotel and bus station exhibits a highly obvious spatial heterogeneity in terms of the influence on enterprise location. (3) The correlation of local scale factors is high and the influence range is precise, which frequently presents complex correlation outcomes in small scales such as streets or communities.…”
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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

“…However, the quantitative characterization of the scale-effect in the spatial heterogeneity of urban land (SHUL) remains underexplored. …”
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Spatial Network in SQL Databases for Real-Time Multimodal Emergency Routing in Wildland Fires by Mateusz Ilba

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Coordinated Development between Assistance to Tibet and Tourism Development: Spatial Patterns and Influencing Factors by Song Liu, Xia Xie, Xiaofei Zhang, Chunshan Zhou, Yonglong Cai

“…However, the coupling coordination degree remains low (MUD) in most prefectural units; (2) in 2015, the degree of coupling coordination displayed a “core-periphery” spatial pattern (i.e., low in center and high in the periphery), which highly coincides with the patterns of AT (x) and TD (y), and should thus be improved further; and (3) both AT factors and TD factors have significant effects on the spatial differentiation of coupling coordination degree but not on the coupling degree. …”
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Effect of Experimental Blocking on the Suppression of Spatial Dependence Potentially Attributable to Physicochemical Properties of Soils by Aquiles E. Darghan, Giovanni Reyes, Carlos A. Rivera, Edwin F. Grisales

“…Some computer programs yield a p value associated with the blocking effect in the analysis of variance table that in many cases has been incorrectly used to discard it, and although it may improve some properties of the analysis, it may affect the independence assumption required in several models. Therefore, the present research recommends the use of the H statistic associated with the corrected blocking efficiency to show the role of blocking in modeling with the incorporation of an additional advantage rarely considered related to the suppression or mitigation of spatial dependence. …”
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Spatial Analysis of Small Cities Relationship with the Influenced Area (Case Study: Gahvareh Dsitrict) by Nozar Ghanbari, Moslem Rostmi, Sajad Zangisheih, Ardeshir Fathi

“…The present study tries to evaluate the relationship and spatial dependence of the surrounding villages. …”
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Temporal and Spatial Analysis of Pedestrian Count Data for Thermal Environmental Planning in Street Canyons by Hideki Takebayashi, Taichi Hayakawa

“…A temporal and spatial analysis method was examined using hourly pedestrian count data over one year at more than 100 locations in the street canyon. …”
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Function Delivery Network: A Spatial-Temporal Execution Orchestrator for Optimizing Serverless Computing by Joel R. Corporan, Arshdeep Bahga, Vijay K. Madisetti

“…We present Function Delivery Network (FDN), a novel spatial-temporal execution orchestrator designed to address key limitations in current serverless computing models. …”
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Synthesis of program angular motions of the Earth remote sensing spacecraft with high spatial resolution by S. Yu. Gorchakov

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