Results 11 to 20 of about 50,725 (251)
Spatial autocorrelation and Art
Spatial autocorrelation is everywhere, even in paintings by artists. This paper presents a case study supporting this contention based upon paintings by Susie Rosmarin.
Daniel A. Griffith
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Fast Spatial Autocorrelation [PDF]
To be published in ICDM ...
Anar Amgalan +2 more
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Applications of machine-learning-based approaches in the geosciences have witnessed a substantial increase over the past few years. Here we present an approach that accounts for spatial autocorrelation by introducing spatial features to the models.
Xiaojian Liu +2 more
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Spatial distribution analysis of seismic activity based on GMI, LMI, and LISA in China
Recently, all kinds of geological disasters happen frequently on the earth. In China, there are countless earthquakes every year, which greatly affect the country’s economic level and development as well as the people’s life and health.
Cao Ziyi +6 more
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ANALYSIS OF SPATIAL AUTOCORRELATION OF GRAIN PRODUCTION AND AGRICULTURAL STORAGE IN PARANÁ [PDF]
This work aimed to study the spatial autocorrelation of the total static capacity storage, the total number of warehouses in 2013/2014 (CONAB) and the average of the total grain production (soybean, corn 1st and 2nd crops and wheat) in the harvest years ...
Elizabeth G. Cima +4 more
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This work focuses on functional data presenting spatial dependence. The spatial autocorrelation of stock exchange returns for 71 stock exchanges from 69 countries was investigated using the functional Moran’s I statistic, classical principal component ...
Tzung Hsuen Khoo +2 more
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FEATURE MODELLING OF HIGH RESOLUTION REMOTE SENSING IMAGES CONSIDERING SPATIAL AUTOCORRELATION [PDF]
To deal with the problem of spectral variability in high resolution satellite images, this paper focuses on the analysis and modelling of spatial autocorrelation feature.
Y. X. Chen +4 more
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Scientometric Analysis for Spatial Autocorrelation-Related Research from 1991 to 2021
Spatial autocorrelation describes the interdependent relationship between the realizations or observations of a variable that is distributed across a geographical landscape, which may be divided into different units/areas according to natural or ...
Qing Luo, Kai Hu, Wenxuan Liu, Huayi Wu
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Flow-Data-Based Global Spatial Autocorrelation Measurements for Evaluating Spatial Interactions
Spatial autocorrelation analysis is essential for understanding the distribution patterns of spatial flow data. Existing methods focus mainly on the origins and destinations of flow units and the relationships between them.
Shuai Sun, Haiping Zhang
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A study of 2,569,617 Thailand citizens diagnosed with COVID-19 from January 2020 to March 2022 was conducted with the aim of identifying the spatial distribution pattern of incidence rate of COVID-19 during its five main waves in all 77 provinces of the
Ei Sandar U +2 more
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