Results 11 to 20 of about 494,625 (320)

Spatial autocorrelation equation based on Moran’s index [PDF]

open access: yesScientific Reports, 2022
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
semanticscholar   +1 more source

An analytical process of spatial autocorrelation functions based on Moran’s index [PDF]

open access: yesPLoS ONE, 2020
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
semanticscholar   +1 more source

Ecological vulnerability assessment based on AHP-PSR method and analysis of its single parameter sensitivity and spatial autocorrelation for ecological protection – A case of Weifang City, China

open access: yesEcological Indicators, 2021
With the continuous development of society, the contradiction between human and nature becomes increasingly prominent, and ecological vulnerability assessment is an effective tool to alleviate the contradiction. In this study, AHP-PSR (Analytic Hierarchy
Xiaojing Hu   +3 more
semanticscholar   +1 more source

Incorporating Spatial Autocorrelation in Machine Learning Models Using Spatial Lag and Eigenvector Spatial Filtering Features

open access: yesISPRS Int. J. Geo Inf., 2022
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
semanticscholar   +1 more source

Generative modeling of brain maps with spatial autocorrelation

open access: yesbioRxiv, 2020
Studies of large-scale brain organization have revealed interesting relationships between spatial gradients in brain maps across multiple modalities. Evaluating the significance of these findings requires establishing statistical expectations under a ...
J. Burt   +4 more
semanticscholar   +1 more source

Accounting for spatial autocorrelation is needed to avoid misidentifying trade-offs and bundles among ecosystem services

open access: yes, 2021
The identification of relationships between multiple ecosystem services (ES) (i.e. trade-offs, synergies and bundles) is essential for ES management.
Shaikh Fairul Edros Ahmad Shaikh   +6 more
semanticscholar   +1 more source

Velocity changes after the 2021 MS 6.4 Yangbi earthquake based on passive image interferometry

open access: yesFrontiers in Earth Science, 2023
An MS 6.4 earthquake occurred in Yangbi, Yunan Province, China, on 21 May 2021. The epicenter was on the blind branch fault in the west of the Weixi–Qiaohou–Weishan fault, but no surface rupture was obvious.
Cong Zhou   +5 more
doaj   +1 more source

976 nm noise-like pulse mode-locked fiber laser

open access: yesShenzhen Daxue xuebao. Ligong ban, 2023
Pulse lasers with an output wavelength of 976 nm play an important role in scientific research and industrial fields. Using a nonlinear optical loop mirror (NOLM), we build a 976 nm mode-locked fiber laser with a figure-9 resonant cavity.
CHEN Hongyi   +9 more
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

Temporal hierarchies with autocorrelation for load forecasting

open access: yesEuropean Journal of Operational Research, 2020
We propose four different estimators that take into account the autocorrelation structure when reconciling forecasts in a temporal hierarchy. Combining forecasts from multiple temporal aggregation levels exploits information differences and mitigates ...
P. Nystrup   +3 more
semanticscholar   +1 more source

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