Biodiversity and pedodiversity: a matter of coincidence? Biodiversidad y edafodiversidad: cuestión de coincidencia? Biodiversidade ou pedodiversidade: questão de coincidência? by Dilier Olivera, Juan José Ibáñez Martí, Asunción Saldaña

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Research on Thermal Environment Influencing Mechanism and Cooling Model Based on Local Climate Zones: A Case Study of the Changsha–Zhuzhou–Xiangtan Urban Agglomeration by Mengyu Ge, Zhongzhao Xiong, Yuanjin Li, Li Li, Fei Xie, Yuanfu Gong, Yufeng Sun

“…Key findings demonstrated that through multi-source remote sensing data integration, long-term LCZ classification was achieved with 1,592 training samples, maintaining an overall accuracy exceeding 70%. Landscape pattern analysis revealed that increased fragmentation, configurational complexity, and diversity indices coupled with diminished spatial connectivity significantly elevate LST. …”
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Application of Jane Jacobs’ Theory in the Analysis of the Borders of Territory Monitoring in Urban Spaces from Citizens’ Points of View in Bandar Abbas by Amirhamzeh Shahbazi, Esmaeil zakerimnabi, Alireza Shahbazi

“…The study sought to identify and analyze the mental boundaries and functional areas of monitoring that manifested in citizens' behavioral patterns. Furthermore, it aimed to explain the social, economic, and spatial factors that influenced these mental approaches and defined the boundaries and functional territories of urban monitoring. …”
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A study on the effect of spatially variation rainfall on urban flooding by Jinping Zhang, Ruyu Wang, Xuechun Li, Zhiwei Li, Yao Wang, Xi Zhang

“…To overcome the limitations of traditional urban stormwater flooding simulations, which often neglect the spatial variability of rainfall distribution, a spatially variation rainfall pattern generation model based on actual rainfall data were developed. …”
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A spatial and temporal assessment of oceanic eddies in the Eastern Caribbean by Jason D. Tambie

“…However, little is known about the long-term patterns and characteristics of these eddies in the Eastern Caribbean. …”
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SPATIAL REGRESSION APPROACH TO MODELLING POVERTY IN JAVA ISLAND 2022 by Maria A. Hasiholan Siallagan, Novi Hidayat Pusponegoro

“…Geographically Weighted Regression (GWR) model is a powerful tool for analyzing spatial patterns in data. However, the standard form of a spatial model that uses a single bandwidth calibration may be unrealistic because the response-predictor relationship may be either linear or nonlinear. …”
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The role of spatially controlled cell proliferation in limb bud morphogenesis. by Bernd Boehm, Henrik Westerberg, Gaja Lesnicar-Pucko, Sahdia Raja, Michael Rautschka, James Cotterell, Jim Swoger, James Sharpe

“…Although the vertebrate limb bud has been studied for decades as a model system for spatial pattern formation and cell specification, the cellular basis of its distally oriented elongation has been a relatively neglected topic by comparison. …”
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Detecting clusters in spatially repetitive point event data sets by Allan Brimicombe

“…The analysis of point event patterns has a long tradition. The patterns of particular interest are patterns of clustering or ‘hot spots’ and such cluster detection lies at the heart of spatial data mining. …”
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Spatial Distribution and Influencing Factors of Agricultural Enterprise Brands in Guangxi by Shasha Ouyang, Jun Wen, Xingpeng Xu

“…This study leverages advanced analytical tools such as ArcGIS spatial analysis and Geographical Detectors to conduct a comprehensive analysis of the spatial distribution characteristics, equilibrium, hotspot areas, and geographic associations of 164 district-level agribusiness brands in Guangxi, highlighting the unique insights these tools provide into the spatial heterogeneity of agricultural enterprise brands. …”
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Spatial Dynamics of Internal Migration Flows of the Skilled and Unskilled in Mexico by Miguel Flores Segovia, Eliud Silva

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Digital Revolution in Spatial Planning: The Potential of Geolocation Data in Czechia by Petr Jirásek, Radovan Šomplák

“…This article analyzes population movement patterns in the Vysočina Region, Czechia, using mobile network geolocation data. …”
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Grandchildren’s spatial proximity to grandparents and intergenerational support in the United States by Olivia Healy, Rachel Dunifon

“…We present descriptive patterns of spatial proximity and intergenerational transfers among families with grandchildren. …”
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Temperature-dependent spatial and temporal trends in archaeal lipid distributions by Siqi Zhao, Rui Bao, Long Zhou, Mingzhi Liu, Xiang Sun, Zhen Gao, Yang Zhou, Nan Wang, Yipeng Wang, Junhui Chen, Lei Xing, Chuanlun Zhang

“…However, the mechanisms regulating their distribution patterns remain unclear. Here we use molecular dynamics simulations to examine their structural properties under increasing temperatures and find that temperature-dependent behaviors govern their global spatial distributions. …”
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The Correlation Between Crime Frequency and Urban Spatial Hierarchy in Busan by Yao Lu, Shan Gao, Tingting Hong, Zhe Cao, Heangwoo Lee, Eunkil Cho, Xiaolong Zhao

“…High-control and globally integrated areas showed a strong link between city center crimes and spatial usage patterns and pedestrian routes. A weak positive correlation was found between Busan’s urban spatial hierarchy and crime frequency, indicating that urban spatial hierarchy influences crime patterns. …”
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The Evolution of Urbanization in Dodoma: A 21-Year Spatial Assessment by N. S. Sumari

“…The rapid urbanization of cities worldwide is leading to significant changes in land use and land cover patterns, particularly in emerging urban centers. Monitoring the spatial and temporal dynamics of these changes is essential for effective urban planning and sustainable development. …”
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Joint cell segmentation and cell type annotation for spatial transcriptomics by Russell Littman, Zachary Hemminger, Robert Foreman, Douglas Arneson, Guanglin Zhang, Fernando Gómez‐Pinilla, Xia Yang, Roy Wollman

“…The large number of newly discovered spatial gene expression patterns substantiates the need for accurate spatial transcriptomic measurements that can provide information beyond cell (sub)type labels.…”
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Spatial ecology of coyotes in the urbanizing landscape of the Cuyahoga Valley, Ohio. by Gregory A Franckowiak, Marlo Perdicas, Gregory A Smith

“…When coyotes were using altered and developed land, GPS fixes were most common at night. Coyote movement patterns differed with respect to status, time period, and season; peaking during nighttime hours. …”
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Spatial Clustering of Tuberculosis-HIV Coinfection in Ethiopia at Districts Level by Leta Lencha Gemechu, Legesse Kassa Debusho

“…There are studies in spatial patterns of TB and HIV separately in Ethiopia; there is, however, no information on spatial patterns of TB-HIV coinfection in the country at the districts level at least using yearly data. …”
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Analysis of Temporal and Spatial Characteristics of Precipitation in a Certain Basin by Shang Yongxi, Li Guiji, Wang Ziyuan, Zhao Bin, Chen Min

“…After rationality analysis of the data, mathematical methods were employed to analyze the temporal distribution, interannual variability, and spatial pattern of precipitation, as well as regional rainfall amounts. …”
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Spatial Epidemiologic Analysis of Fetal Birth Defects in Guangxi, China by Peng Z, Huang X, Wei J, Chen B, Liang L, Feng B, Wei Q, He S

“…The local spatial autocorrelation analysis revealed that the primary clustering patterns of BDs prevalence were High–High and Low–Low. …”
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