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Geodetector: principles and prospects

WebNov 17, 2024 · As an important parameter of the Earth’s energy budget, the planetary albedo of Earth varies with the dynamics of atmospheric and surface variables. In this study, we investigated the spatiotemporal characteristics and driving factors of the global planetary albedo using the Clouds and the Earth’s Radiant Energy System (CERES) … WebMar 8, 2024 · Based on ground monitoring data, we explored the spatiotemporal characteristics and drivers of PM 2.5 in the Yangtze River Economic Belt (YREB) in 2024 …

Spatiotemporal characteristics and driving factors of global

WebJul 25, 2024 · The GeoDetector consist of four detectors: factor detection, interaction detection, risk detection, and ecological detection. One hundred sixty-nine prefecture-level cities in China are studied. The data sources are the 2024 data from China's Economic and Social Big Data Research Platform and WorldPOP gridded population datasets. WebFirst, a combination of GeoDetector and recursive feature elimination was used to eliminate the redundant factors. Then, an optimization method for weights of SI … brca aetna https://sixshavers.com

Influence factor analysis of soil heavy metal Cd based on the …

WebSep 20, 2024 · This paper explores the influence of the real-world urban attributes on the information flow among cities. UCINET was used to analyze the evolution of the spatial … WebOct 30, 2024 · 3.2. 2010 and 2024 Factor Detector Results of Geodetector Model. The forest type played the most important role in both cold and hot spots during the two years. In the year of 2010, temperature (0.0301 and 0.0159) and NDVI (0.0257 and 0.0354) ranked second and third in both cold and hot spots. ... Limits and Prospects. There are two … Web2. METHODOLOGY AND PRINCIPLES 2.1 Geo-Detector The quality and the quantity of the data used as causative factors are vital factors which determine the reliability of … brca2 melanoma risk

Analysis of the spatial association of geographical detector ... - PLOS

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Geodetector: principles and prospects

geodetector: Stratified Heterogeneity Measure, Dominant …

WebMar 30, 2024 · Geodetector is a novel tool to investigate SSH: (1) measure and find SSH of a variable Y; (2) test the power of determinant X of a dependent variable Y according to … WebMay 20, 2024 · The key assumption of the GeoDetector method is listed as follows: if the independent variable X has an important influence on the independent variable Y, then …

Geodetector: principles and prospects

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WebMar 30, 2024 · Spatial stratified heterogeneity (SSH), referring to the within strata are more similar than the between strata, a model with global parameters would be … WebApr 30, 2024 · The GeoDetector consists of 4 detectors, each associated with their own detection method: the Risk detector, Factor detector, Ecological detector, and …

WebMar 8, 2024 · Based on ground monitoring data, we explored the spatiotemporal characteristics and drivers of PM 2.5 in the Yangtze River Economic Belt (YREB) in 2024 using spatial autocorrelation analysis and geodetector modeling methods. The results showed that:① the PM 2.5 concentration in the YREB posed the obvious characteristics … http://geodetector.cn/

WebNov 1, 2024 · Geodetector method (GDM) Geodetector is a statistical tool to measure spatial stratified heterogeneity and to make attribution. Its core idea is based on the following assumption: if an independent variable has an important influence on a dependent variable, the spatial distribution of the two should be similar (Wang et al., 2010; Wang and Xu, 2024

WebGeodetector is a new statistical method to detect spatial stratified heterogeneity and reveal the driving factors behind it. This method with no linear hypothesis has elegant …

WebGeodetector q-statistic can be used to understand spatial confounding, sample bias and overfitting. (1) Confounding can occur if a model is applied to a (spatial) stratified … brca drugWebSep 15, 2024 · GeoDetector is a spatially-based multivariate statistical model which was developed in 2010 by Wang et al. . It can detect the spatially stratified heterogeneity of a given phenomenon according to the basic principle that if a determinant is associated with the phenomenon, then there may be some similarities between their spatial distributions. brca2 skin cancer riskWebKeywords: landslide susceptibility mapping; GeoDetector; machine learning; GIS; support vec-tor machines 1. Introduction Rapid-moving landslides often cause an increase in the number of people and prop-erty exposed to landslide risk [1–3]. A mass of landslide disasters have caused a large brca govWebAug 14, 2024 · The slack-based measure with undesirable output (SBM-Undesirable) model and geodetector model were used to evaluate the rural LRAE, influencing factors and optimization paths from 2011 to 2024. ... The principles are as follows. ... History, issues, measures and prospects. Land Use Policy 2024, 91, 104330. [Google Scholar] Gao, J.; … brca2 riskWebOct 1, 2024 · The Geodetector method was used to detect the influence of our selected 10 factors on vegetation changes. It is a spatial statistics method to detect spatial heterogeneity and quantify the influence of driving factors. Geodetector is not based on linear assumptions, but compares the spatial consistency of independent variable distribution ... brca kantajuusWebPCA and Geodetector were used to determine the type and possible location of the source. Source apportionment of individual elements is achieved by MLRD. The detection results … tagesgeldkonto plusWebAug 25, 2024 · The GeoDetector is a statistical method proposed by Wang in 2010 (Wang et al., 2010), which is used to detect spatial differentiation, revealing its driving force … brca gene and ashkenazi jewish population