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Spatial Statistics for Understanding Tissue Organization [PDF]
Frontiers in Physiology, 2022 Interpreting tissue architecture plays an important role in gaining a better understanding of healthy tissue development and disease. Novel molecular detection and imaging techniques make it possible to locate many different types of objects, such as ...
Andrea Behanova +2 more
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Stats, 2021 Both historically and in terms of practiced academic organization, the anticipation should be that a flourishing synergistic interface exists between statistics and operations research in general, and between spatial statistics/econometrics and spatial ...
Daniel A. Griffith
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Geospatial Health, 2022 After a two-year pandemic, coronavirus disease 2019 (COVID-19) is still a serious public health problem and economic stability worldwide, particularly in the Association of Southeast Asian Nations (ASEAN) countries.
I Gede Nyoman Mindra Jaya +2 more
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Analyzing spatial inequality in the city of Kerman using spatial statistics [PDF]
جغرافیای اجتماعی شهری, 2023 Introduction: Cities, as complex social, geographical, and economic phenomena, also represent a significant spatial phenomenon. In fact, a city is a spatial unit where politics and power are closely intertwined, and cities require policies for their ...
Hanieh Ali Mirzaei +2 more
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GLC-STATISTICS: A WEB-BASED SPATIAL STATISTICS SYSTEM FOR GLOBAL LAND COVER DATA [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Land cover data is one of the principle sources to understand changes of the earth, develop sustainable globe, conduct environment change studies, land source management, and many other societal benefit areas. Globeland30 is the first multi-temporal (for
R. Li +5 more
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REFINEMENT OF CROPLAND DATA LAYER USING MACHINE LEARNING [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 As the most widely used crop-specific land use data, the Cropland Data Layer (CDL) product covers the entire Contiguous United States (CONUS) at 30-meter spatial resolution with very high accuracy up to 95% for major crop types (i.e., Corn, Soybean) in ...
C. Zhang +7 more
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Gene Set Analysis Using Spatial Statistics
Mathematics, 2021 Gene differential expression consists of the study of the possible association between the gene expression, evaluated using different types of data as DNA microarray or RNA-Seq technologies, and the phenotype.
Angela L. Riffo-Campos +2 more
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BMC Health Services Research, 2022 Background Future demographic and economic changes warrant a better understanding of older persons’ need for health-related long-term care services (LTC).
Astri Syse +3 more
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Modified Maximum Entropy Method and Estimating the AIF via DCE-MRI Data Analysis
Entropy, 2022 Background: For the kinetic models used in contrast-based medical imaging, the assignment of the arterial input function named AIF is essential for the estimation of the physiological parameters of the tissue via solving an optimization problem ...
Zahra Amini Farsani, Volker J. Schmid
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Spatial Data in Undergraduate Statistics Curriculum
Journal of Statistics and Data Science Education, 2021 In this article we present and discuss the importance and relevance of the inclusion of spatial data analysis as part of the undergraduate statistics curriculum.
Nicolas Christou
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