Results 1 to 10 of about 3,055,467 (232)
An analytical process of spatial autocorrelation functions based on Moran's index. [PDF]
PLoS ONE, 2021 A number of spatial statistic measurements such as Moran's I and Geary's C can be used for spatial autocorrelation analysis. Spatial autocorrelation modeling proceeded from the 1-dimension autocorrelation of time series analysis, with time lag replaced ...
Yanguang Chen
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Spatial autocorrelation equation based on Moran’s index [PDF]
Scientific Reports, 2023 Moran’s index is an important spatial statistical measure used to determine the presence or absence of spatial autocorrelation, thereby determining the selection orientation of spatial statistical methods.
Yanguang Chen
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Spatial Autocorrelation of COVID-19 in Slovakia [PDF]
Tropical Medicine and Infectious Disease, 2023 The pandemic situation of COVID-19, which affected almost the entire civilized world with its consequences, offered a unique opportunity for analysis of geographical space. In a relatively short period of time, the COVID-19 pandemic became a truly global
Katarína Vilinová +1 more
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When to use commuting zones? An empirical description of spatial autocorrelation in U.S. counties versus commuting zones [PDF]
PLoS ONE, 2022 U.S. Commuting Zones (CZs) are an aggregation of county-level data that researchers commonly use to create less arbitrary spatial entities and to reduce spatial autocorrelation.
Craig Wesley Carpenter +2 more
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Derivation of correlation dimension from spatial autocorrelation functions. [PDF]
PLoS ONEBackgroundSpatial complexity is always associated with spatial autocorrelation. Spatial autocorrelation coefficients including Moran's index proved to be an eigenvalue of the spatial correlation matrixes. An eigenvalue represents a kind of characteristic
Yanguang Chen
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Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data
Remote Sensing, 2016 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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New framework of Getis-Ord's indexes associating spatial autocorrelation with interaction. [PDF]
PLoS ONE, 2020 Spatial autocorrelation and spatial interaction are two important analytical processes for geographical analyses. However, the internal relations between the two types of models have not been brought to light. This paper is devoted to integrating spatial
Yanguang Chen
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Spatial autocorrelation and Art
Cybergeo, 2016 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]
2020 IEEE International Conference on Data Mining (ICDM), 2020 To be published in ICDM ...
Anar Amgalan +2 more
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Analisis Autokorelasi Spasial Global dan Lokal Pada Data Kemiskinan Provinsi Bali
Jambura Journal of Mathematics, 2023 Poverty is a crucial problem that often occurs in Indonesia, including in the province of Bali. The poverty rate rate in Bali has increased significantly over the last 3 years, so further analysis is needed so that this poverty rate can be reduced.
Windy Lestari +3 more
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