Spectral Methods in Spatial Statistics by Kun Chen, Lianmin Zhang, Maolin Pan

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Block Estimation Technique in Spatial Statistics With Application by Jaufar Mousa Mohammed AL-bayati

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The role of attention in challenging the constraints of spatial statistical learning by T.M. Deeva, D.D. Kozlov

“…If these regularities concern with the spatial arrangement of objects in relation to each other we say about visual spatial statistical learning. When we have some hierarchical structure as a pattern, information about the whole set or about some of its subsets can be learned. …”
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Identification of hotspots and cold-spots of groundwater potential using spatial statistics by Tao Liu, Imran Ahmad, Mithas Ahmad Dar, Martina Zelenakova, Lema Misgan Gebrie, Teshome Kifle, Gashaw Sintayehu Angualie

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Gender influence on white matter microstructure: a tract-based spatial statistics analysis. by Richard A Kanaan, Christopher Chaddock, Matthew Allin, Marco M Picchioni, Eileen Daly, Sukhi S Shergill, Philip K McGuire

“…<h4>Methods</h4>A whole-brain tract-based spatial statistics analysis of 120 matched subjects from the previous analysis, and 134 new subjects (147 men and 107 women in total) using a 1.5T scanner, with division into tract-based regions of interest.…”
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Testing the sensitivity of Tract-Based Spatial Statistics to simulated treatment effects in preterm neonates. by Gareth Ball, James P Boardman, Tomoki Arichi, Nazakat Merchant, Daniel Rueckert, A David Edwards, Serena J Counsell

“…Early neuroimaging may provide a surrogate marker for brain development and outcome after preterm birth. Tract-Based Spatial Statistics (TBSS) is an advanced Diffusion Tensor Image (DTI) analysis technique that is sensitive to the effects of prematurity and may provide a quantitative marker for neuroprotection following perinatal brain injury or preterm birth. …”
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Spatial Statistic Analysis of Earthquakes in Aceh Province Year 1921-2014: Cluster Seismicity by Muzailin Affan, Muhammad Syukri, Linda Wahyuna, Hizir Sofyan

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Evaluation of the physical-functional resilience of Isfahan City center using spatial statistics methods and ELECTRE* by Ahmad Rahimi Juneghani, Homayoon Nooraie

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Exploring groundwater potential: Combining GIS techniques with OLS, GWR, and exploratory regression by Zhu Huisheng, Amnah A Alasgah, Imran Ahmad, Mithas Ahmad Dar, Martina Zelenakova, Milashu Sisay, Getanew Sewnet Zewdu, Youssef M. Youssef

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Analysis of closed and open numerical systems of geochemical data in spatial statistics environment in order to separate anomalous areas by Mirmahdi Seyedrahimi-Niaraq, Hossein Mahdiyanfar

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Pencitraan Otak Dengan Diffusion Tensor Imaging Dalam Riset Psikologi Menggunakan Tract Based Spatial Statistics by Satriyo Priyo Adi, Sri Kusrohmaniah

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The importance of group-wise registration in tract based spatial statistics study of neurodegeneration: a simulation study in Alzheimer's disease. by Shiva Keihaninejad, Natalie S Ryan, Ian B Malone, Marc Modat, David Cash, Gerard R Ridgway, Hui Zhang, Nick C Fox, Sebastien Ourselin

“…Tract-based spatial statistics (TBSS) is a popular method for the analysis of diffusion tensor imaging data. …”
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Using spatial statistics and point‐pattern simulations to assess the spatial dependency between greater sage‐grouse and anthropogenic features by Jeffrey K. Gillan, Eva K. Strand, Jason W. Karl, Kerry P. Reese, Tamara Laninga

“…Our objective was to use a spatial‐statistical approach to assess the effect of roads, power transmission lines, and rural buildings on sage‐grouse habitat use. …”
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Geographic Distribution of Lung and Bronchus Cancer Mortality and Elevation in the United States: Exploratory Spatial Data Analysis and Spatial Statistics by Hoehun Ha

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Evaluating Spatial Patterns of Ecosystem Services based on a Comparative Approach on Spatial Statistics in the Central Part of Isfahan Province by Sedighe Abdollahi, Alireza Ildoromi, Abdolrassoul Salmanmahini, Sima Fakheran

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Urban Heat Islands and Land-Use Patterns in Zagreb: A Composite Analysis Using Remote Sensing and Spatial Statistics by Dino Bečić, Mateo Gašparović

“…This research analyzes the spatial distribution of urban heat islands in Zagreb, Croatia, utilizing remote sensing data, urban planning metrics, and spatial-statistical analysis. Composite rasters of land surface temperature (LST) and the Normalized Difference Vegetation Index (NDVI) were generated from four cloud-free Landsat 9 images obtained in the summer of 2024. …”
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3D-SHI index for quantifying 3D spatial heterogeneity in big Earth data by Peijie Sun, Hengcai Zhang, Peixiao Wang, Jianing Yu

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Identification of novel risk factors for community-acquired Clostridium difficile infection using spatial statistics and geographic information system analyses. by Deverick J Anderson, Leoncio Flavio Rojas, Shera Watson, Lauren P Knelson, Sohayla Pruitt, Sarah S Lewis, Rebekah W Moehring, Emily E Sickbert Bennett, David J Weber, Luke F Chen, Daniel J Sexton, CDC Prevention Epicenters Program

“…<h4>Conclusions</h4>Our study is the first to use spatial statistics and mixed models to identify important environmental risk factors for acquisition of C. difficile and adds to the growing evidence that farm practices may put patients at risk for important drug-resistant infections.…”
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White Matter Microstructure Alteration in Patients with Drug-Induced Parkinsonism: A Diffusion Tensor Imaging Study with Tract-Based Spatial Statistics by Ling Sun, Shijia He, Bo Cheng, Yao Shen, Wenhao Zhao, Rong Tu, Shushan Zhang

“…To analyze the data, we utilized the software packages Functional MRI of the Brain Centre (FMRIB) Diffusion Toolbox (FDT), developed by the FMRIB laboratory at Oxford University, and tract-based spatial statistics (TBSS). …”
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Spatiotemporal Analysis of Human Mobility in Greater Tokyo Area Using Hourly 500 m Mobile Spatial Statistics from 2019 to 2021 by Thanakrit Yoongsomporn, Alvin Christopher Galang Varquez, Sunkyung Choi, Makoto Okumura, Shinya Hanaoka, Manabu Kanda

“…In this study, daytime human mobility was quantified based on the inflow and outflow of population in 500 × 500 m spatial grids using a processed version of the hourly DOCOMO Mobile Spatial Statistics (MSS) dataset. Using K-means clustering of the temporal mobility values over the Greater Tokyo Area, five typical diurnal patterns representing distinguishable intensities of diurnal human mobility over weekdays and weekends were identified. …”
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