Geographical detector method

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August undefined, 2024

WebMay 20, 2024 · Also, quantitative attribution analysis was conducted for various geomorphological and climatic zones in the Hengduan Mountain region by using the geographical detector method. Influencing factors, such as climate, topography, soil, vegetation type, and land use type and pattern, were taken into consideration for this … WebMay 20, 2024 · The geographical detector method was applied to quantitatively unveil the spatial association between the landslides and 12 environmental factors through …

Atmosphere Free Full-Text Assessment of the Factors …

WebThe geographic detector is a statistical method that detects spatial heterogeneity and analyzes the interrelationship between drivers . It is based on the principle that divides the research area into several subareas. In the case of spatial heterogeneity, the sum of variances of the sub-regions is less than the total variance of the site. WebApr 16, 2024 · In order to determine the key influencing factors, risk areas, and source pathways of heavy metals in the sediment of the Yellow River, 37 samples were collected in the surface sediment (0–5 cm) of the Inner Mongolia section of the Yellow River main stream for the determination of heavy metals copper (Cu), nickel (Ni), zinc (Zn), … st margaret\u0027s roman catholic primary school

Frontiers Responses of Habitat Quality and Animal Biodiversity …

WebAutomatic imagery detection is a data-based method that is highly dependent on data, and the trend towards automation results from the availability of more complex and high-quality data (Freeland et al., 2016).Data collection involves the extraction and storage of data from various data catalogues held by agencies and different regional initiatives involved in … WebApr 14, 2024 · Furthermore, our proposed method is reliable and unaffected by geographical changes, providing essential technical support for computerized counting in the field. 1 Introduction. Maize has been a crucial agricultural crop for several decades, ... While the above detection methods are designed for specific cultivars in particular … WebThe geographical detector model (GDM) is based on the spatial variance analysis of geographical strata of variables to assess the association between the independent … st margaret\u0027s school ascot

An optimal parameters-based geographical detector …

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WebMay 12, 2024 · The search is limited to the “English” language and the “topic” search equation is: “geographical detector” OR “geographical detectors” OR “geodetector.” As a result, 130 research papers are yield … Web9 rows · Feb 25, 2024 · The Geographical Detector Method (GDM) was specifically evaluated for its ability to analyze ... st margaret\u0027s roman catholic churchWebMar 29, 2024 · The geographical detector method was used to analyze determinants influencing winter wheat yield. This study concluded that the overall classification … st margaret\u0027s school bushey swimming pool

"WebMay 5, 2024 · The geographical detector (GeoD) is a set of statistical methods used to detect spatial differentiation and reveal the driving forces behind it . As the geographical detector is less restricted by the premise than the center of gravity, the GeoD has strong universality for exploring the formation mechanism and influencing factors of the spatial ... " - Geographical detector method

Geographical detector method

Geographical detector — QGIS Python Plugins Repository

WebSep 26, 2024 · The geographical detector method is used to explore the potential impact factors versus the spatial distribution of soil moisture and to identify each explanatory … WebJun 4, 2024 · The most relevant indicators of desertification, namely, vegetation fraction, aboveground biomass, soil moisture, and land surface temperature, were selected to establish AGDI. The geographical detector is used to reselect and assess these indicators. The results show that the overall verification accuracy of AGDI is 82.05%.

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The factor detector identifies the degree with which a potential determinant … 1. Introduction. Significant variation in regional economic performance is a … 1. Introduction. More than half of the world's population (54%) currently lives in urban … 3.4. Test of the q-statistic. We use our q-statistic to measure the degree of …

WebJan 16, 2024 · Sulfur dioxide (SO2) is a serious air pollutant emitted from different sources in many developing regions worldwide, where the contribution of different potential influencing factors remains unclear. Using Shandong, a typical industrial province in China as an example, we studied the spatial distribution of SO2 and used geographical detectors to … WebFeb 25, 2024 · The Geographical Detector Method (GDM) was specifically evaluated for its ability to analyze spatial relationships between metal EFs and their anthropogenic and …

WebDec 16, 2024 · The geographical detector method was used in this study to explore the explanatory power of desertification drivers on the desertification dynamics. This method quantifies and ranks the influences of meteorological and anthropogenic factors on desertification. It can not only detect the intensity of the effect of individual factors on ... WebJun 2, 2024 · The geographical detector consists of four kinds of detectors, which are factor detector, interaction detector, ecological detector, and risk detector (Fan et al., 2024). In this study, factor and interaction detector method are used to analyze the effects of grazing activities on habitat quality and animal biodiversity.

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 …

WebA geographic object recognition unit (120) recognizes, using image data (192) obtained by photographing in a measurement region where a geographic object exists, a type of the geographic object from an image that the image data (192) represents. A position specification unit (130) specifies, using three-dimensional point cloud data (191) … st margaret\u0027s school hasburyWebFeb 8, 2024 · Finally, the geographical detector method was employed to identify the dominant factors influencing the spatial differentiation of land ecological security from four aspects. The results can provide meaningful insights for sustainable land use and sustainable urban development, and facilitate decision-makers to formulate refined … st margaret\u0027s school galashielsWebFeb 1, 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 … st margaret\u0027s school calendarWebGPR is the only viable non-destructive method that can be used for unmarked grave detection. Ground Penetrating Radar (GPR) surveys are non-intrusive and ideal for … st margaret\u0027s school for girls ab10 1ruWebThe geographical detectors model is a method that can analyze the relation-ship between discrete risk factors and health outcomes based on a spatial variance analysis. Moreover, it can still effectively model the continuous risk factors. In the geographical detectors model, continuous risk factors are transformed into discrete inter- st margaret\u0027s school careersWebApr 11, 2013 · The geographical detectors model is a method that can analyze the relationship between discrete risk factors and health outcomes based on a spatial … st margaret\u0027s school collier streetWebNov 9, 2024 · Within oasis-desert ecotone regions, the normalized difference vegetation index (NDVI) is an important parameter for evaluating the growth of vegetation. An accurate quantitative study between NDVI and environmental and anthropogenic factors is critical for understand the driving factors of vegetation growth in oasis-desert ecotone. In 2016, four … st margaret\u0027s school burlington ma