Geographic detector model
http://geodetector.cn/ WebJan 1, 2024 · The geographic detector is a new statistical method model based on the theory of spatially stratified heterogeneity, which not only quantifies the influence of each …
Geographic detector model
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WebOct 8, 2024 · Additionally, based on the geographic detector model, 15 factors such as soil properties, topography, soil forming factors, and distance were taken as independent variables, and the contents of each heavy metal element were taken as dependent variables to explore the spatial differentiation and influencing factors of heavy metal content in ... WebSep 20, 2024 · Combined with 12 natural factors and human activity factors in the same period, the dominant driving factors and their interactions were identified by using the geographic detector model, and multiple scenarios were also simulated to forecast the possible paths of future NDVI changes in this area.
WebMay 12, 2024 · An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial … WebAn optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases …
WebMay 1, 2024 · Robust Geographical Detector (RGD) RGD is an improvement of the geographical detector (GD) with optimal spatial zones determined using optimization of spatial data discretization of explanatory variables. Fig. 1 shows the process of the RGD model for spatial determinant exploration, and the method includes four steps. WebMay 1, 2024 · Robust Geographical Detector (RGD) RGD is an improvement of the geographical detector (GD) with optimal spatial zones determined using optimization of …
WebFeb 14, 2024 · The geographic detector method can reflect the intrinsic causal relationship more accurately than traditional regression analysis, variance analysis, causal analysis method, grey-relational degree, partial correlation analysis method, and the Tobit model in studying the characteristics of regional spatial differentiation and revealing the main …
WebThis paper attempts to explore the spatiotemporal variation characteristics of the agricultural carbon offset rate (ACOR) and the reasons that shape its differentiation characteristics in China. To achieve this objective, the Dagum Gini coefficient, kernel density estimation, and geographic detector model are employed in this study. bleckwenWebFunctions of Geodetector: (1) The risk detector maps response variable in strata: Y(X); (2) The factor detector q-statistic measures the SSH of a variable Y, or the determinant power of an explanatory variable X of Y; … fran purslowWebSep 27, 2024 · The geographic detector model (Wang and Xu, 2024) was used to analyze the degree of influence of the main influencing factors on the FLFI. Where the q-value is used to represent the degree of factor influence and the q-value is calculated as follows: ... From the correlation analysis and geographic detector synthesis, we concluded that the … franquias skyscrapercityWebSep 6, 2024 · In addition, Spearman’s Rank Correlation Assessment Model and Geographic Detector Model were used to examine the relationship between environmental factors and lung cancer mortality to identify impact factors and their mechanisms. The findings indicated that: 1) from the characteristics of temporal distribution, the number of … franprix paris shelvesWebGeodetector, or Geographical Detector, is a statistical tool to measure SSH and to make attributions for or by SSH (Fig. 1): (1) Measure and identity SSH among data; (2) … franquismo wikipediaWebFacing the increased frequency of disasters and resulting massive damages, many countries have developed their frameworks for disaster risk management (DRM). However, these frameworks are highly regional and few of them suggest corresponding methods for specific analysis content, which makes them less practical and operational. In this paper, … franprix wilsonWebMay 1, 2024 · Geographical detector (GD) is a method to measure spatial associations using a power of determinant (PD) value that compares the variance of data within … fran purdy