2024 Geographical detector model

Geographical detector model

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August undefined, 2024

WebMar 8, 2024 · The present study aims to quantitatively assess soil erosion intensity (SEI) and amounts in the Qinghai Lake Basin (QLB) over the 1990-2024 period using the Integrated Valuation Ecosystem Services and Tradeoffs (InVEST) model based on multi-source data. In addition, the changing trends and driving f … WebApr 27, 2024 · The GD package makes following steps fast and easy: It contains both supervised and unsupervised spatial data discretization methods, and the optimal spatial …

Full article: Optimal discretization for geographical …

WebGeographical detector is a statistical tool to measure SSH and to make attribution for/by SSH; (1) measure and find SSH among data; (2) test the coupling between two variables Y and X and (3) investigate interaction between two explanatory variables X1 and X2 to a response variable Y. Version. Experimental. Minimum QGIS version. WebGeographical detectors model was developed to quantify spatial stratified heterogeneity. A few models were developed to improve the capacity of geographical detectors model in terms of the optimisation of spatial data discretisation, spatial autocorrelation of geogrpahical attributes, spatial overlay of multiple variables, etc. ... marilyn miglin death

Spatial distribution characteristics of heavy metal(loid)s health risk ...

WebApr 6, 2024 · The geographical detector model proposed by Wang et al. (2016) is an advanced statistical method, which can be used to detect spatial heterogeneity and … WebMar 11, 2024 · Geographical Detector Model. The geographical detector is a spatial statistic model proposed by Wang et al. (2010). It has been used to quantify the influences of potential driving factors on geographical phenomena based on spatial variance analysis (Wang et al., 2016, 2024; Gao F. et al., 2024). Our aim was to investigate the effects of ... WebGPR is the only viable non-destructive method used for grave detection. Ground Penetrating Radar (GPR) cemetery surveys are non-intrusive and ideal for locating … marilyn miglin official website

Spatiotemporal Variation of Soil Erosion Characteristics in

WebAn optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for spatial heterogeneity analysis: cases with … WebJun 2, 2024 · Grazing activities perhaps lead to habitat quality degradation and animal biodiversity loss while the effects on the Qinghai-Tibet Plateau (QTP) is still relatively poorly studied. Based on the Integrated Valuation of Ecosystem Services and Tradeoffs model, geographical detector model and generalized linear mixed model, the responses of … marilyn michaels youngWebNov 21, 2024 · The geographical detector model has four modules (Wang et al., 2010): factor, risk, interaction, and ecological detectors. We used the factor, interaction, and risk detectors to detect which factors have greater influence on FVC change, determine how different factors interact with each other, and identify where vegetation grows better. ... marilyn miglin pheromone gold dust powder

"WebSong, Y., Wang, J., Ge, Y., & Xu, C. (2024). An optimal parameters-based geographical detector model enhances geographic characteristics of explanatory variables for ... " - Geographical detector model

Geographical detector model

$Exploring and attributing change to fractional vegetation$

WebThe present study applied geographic information system (GIS) techniques and a geographic detector model to quantify desertification spatial extent and driving mechanisms. This research utilized Fractional Vegetation Cover (FVC) to elucidate desertification spatial heterogeneity. The 30 years Coefficient of Variation (CV) of the … WebNov 4, 2024 · The geographical detector model and the panel quantile regression model are used in combination to analyze the socio-economic driving factors of haze pollution from 2010 to 2015 for 74 significantly representative countries. The main results are as follows: (1) Industrial structure is the main factor affecting the haze concentration, followed ...

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WebFinally, we adopt the geographical detector model (GDM) to identify key driving factors of ESs changes. The results show that: (1) During 2000–2024, the area of arable land and woodland decreased by 1.65% and 0.8%, respectively, while the proportion of construction land and water area increased by 1.31% and 1.39%, respectively. WebMay 12, 2024 · The geographical detector model is a widely used technique for spatial stratified heterogeneity analysis. In the model, the spatial data discretization and spatial …

WebJan 5, 2024 · Moreover, previous studies mainly focused on the separate effect of each factor but neglected the interactions between these factors. Taking Shenzhen, China as the case, this study fills these two gaps by employing the geographical detector method to examine the MAUP in dockless bike-sharing usage as well as the interactive effects of … WebMay 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 …

WebMar 17, 2016 · A geographical detectors model proposed by Wang et al and based on spatial variance analysis, has been widely used to measure the association between … WebThe quantitative analysis of the urban-rural integration development (URID) level and its driving factors is of great significance for the new-type urbanization of urban agglomerations. This study constructed a multidimensional framework in the perspective of a population–space–economy–society–ecology framework to …

WebMay 1, 2024 · Abstract and Figures. Geographical detector (GD) is a method to measure spatial associations using a power of determinant (PD) value that compares the variance of data within spatial zones and in ...

http://geodetector.cn/ marilyn miglin perfume hsnWebGeographical detector is a novel tool to identify SSH and to attribute the spatial patterns (Fig. 1): (1) measure and find SSH of a variable Y; (2) test the association between two variables Y and... marilyn michet orland park ilWebThe modified Carnegie–Ames–Stanford Approach (CASA) model was used to simulate vegetation NPP. Further, the contributions of topography, vegetation, soils, and climate to NPP’s distribution and spatiotemporal variation were explored using the geographic detector model (GDM) and structural equation model (SEM). marilyn miglin pheromone goldWebJul 1, 2012 · This work introduces geographical-detector models to investigate the relationship between planting patterns (vegetable planting model, manure type and quantity, planting age, greenhouse area, and topographic elevation) and residual fluoroquinolones (FQs) in soil in a pilot project in Shouguang County, Shandong Province (the largest … marilyn miglin perfect c tonerWebApr 11, 2013 · The geographical detectors model is a new spatial analysis method for the assessment of health risks. It is adapted to discrete risk factors. Meanwhile, the … marilyn miglin pheromone gift setWebJul 28, 2024 · Geographical detector model. This paper developed a geodetector model to analyze the factors influencing regional resilience. Geographic detectors were first applied to the study of epidemic and geographic-related risk factors, and were later widely used to identify different socio-economic factors and their interactions . Compared with ... marilyn miglin outletWebMay 5, 2024 · The center of gravity and geographical detector model were used to analyze the spatiotemporal distribution characteristics of HFMD and identify the association between these characteristics and socioeconomic and meteorological factors. Results: A total of 10,725 HFMD cases were reported in Urumqi during the study period. marilyn miglin pheromone musk