Results 21 to 30 of about 188,264 (321)

Flow-Data-Based Global Spatial Autocorrelation Measurements for Evaluating Spatial Interactions

open access: yesISPRS International Journal of Geo-Information, 2023
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
doaj   +1 more source

Testing for Network and Spatial Autocorrelation

open access: yes, 2020
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
core   +1 more source

Power properties if invariant tests for spatial autocorrelation in linear regression [PDF]

open access: yes, 2006
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
core   +5 more sources

Spatial autocorrelation and heterogenicity of demographic and healthcare factors in the five waves of COVID-19 epidemic in Thailand

open access: yesGeospatial Health, 2023
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
doaj   +1 more source

Joint effects of habitat heterogeneity and species' life-history traits on population dynamics in spatially structured landscapes. [PDF]

open access: yesPLoS ONE, 2014
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
doaj   +1 more source

Spatial location and agglomeration economies in exports: empirical evidence by technological intensities in Brazil

open access: yesJournal of Applied Economics, 2023
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
doaj   +1 more source

Spatial Autocorrelation and Uncertainty Associated with Remotely-Sensed Data

open access: yesRemote 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
doaj   +1 more source

Can satellite-based data substitute for surveyed data to predict the spatial probability of forest fire? A geostatistical approach to forest fire in the Republic of Korea

open access: yesGeomatics, Natural Hazards & Risk, 2019
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
doaj   +1 more source

Analisis Pola Spasial Penyakit Demam Berdarah Dengue di Kota Bandung Menggunakan Indeks Moran

open access: yesRekayasa Hijau: Jurnal Teknologi Ramah Lingkungan, 2018
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
doaj   +1 more source

Spatial spillover effect of industrial structure upgrading on carbon emission intensity: panel data evidences from Beijing, China

open access: yesFrontiers in Environmental Science, 2022
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
doaj   +1 more source

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