Results 21 to 30 of about 188,264 (321)
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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Testing for Network and Spatial Autocorrelation
Testing for dependence has been a well-established component of spatial statistical analyses for decades. In particular, several popular test statistics have desirable properties for testing for the presence of spatial autocorrelation in continuous ...
A Cliff +32 more
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Power properties if invariant tests for spatial autocorrelation in linear regression [PDF]
This paper derives some exact power properties of tests for spatial autocorrelation in the context of a linear regression model. In particular, we characterize the circumstances in which the power vanishes as the autocorrelation increases, thus extending
Dennis, Mark +3 more
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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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Joint effects of habitat heterogeneity and species' life-history traits on population dynamics in spatially structured landscapes. [PDF]
Both habitat heterogeneity and species' life-history traits play important roles in driving population dynamics, yet there is little scientific consensus around the combined effect of these two factors on populations in complex landscapes.
Xinping Ye +2 more
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This study investigates spatial autocorrelation and the formation of spatial export clusters of Brazilian mesoregions based on technological intensity.
Antonio Carlos de Campos +2 more
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Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data
Virtually all remotely sensed data contain spatial autocorrelation, which impacts upon their statistical features of uncertainty through variance inflation, and the compounding of duplicate information.
Daniel A. Griffith, Yongwan Chun
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To assess which data type is more effective for spatial modeling in the Republic of Korea, we conducted geostatistical analysis based on frequency, intensity, and spatial autocorrelation using two types of forest fire occurrence data: that collected ...
Chul-Hee Lim +4 more
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Analisis Pola Spasial Penyakit Demam Berdarah Dengue di Kota Bandung Menggunakan Indeks Moran
Bandung has the highest case of dengue fever in West Java, which is 3134 cases in 2014. The spread of dengue fever can be analyzed spatially by spatial autocorrelation to find out the correlation relationship pattern between locations.
Rika Hernawati, Muhamad Yordi Ardiansyah
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Applying the panel data of 16 districts in Beijing, China from 2009 to 2020 as the research object, this study measures and analyzes the carbon emission intensity and the level of industrial structure upgrading.
Baoguo Shi +3 more
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