Results 11 to 20 of about 1,925 (179)

Predicting the Distribution of the Invasive Species Leptocybe invasa: Combining MaxEnt and Geodetector Models [PDF]

open access: yesInsects, 2021
Leptocybe invasa is a globally invasive pest of eucalyptus plantations, and is steadily spread throughout China. Predicting the growth area of L. invasa in China is beneficial to the establishment of early monitoring, forecasting, and prevention of this pest. Based on 194 valid data points and 21 environmental factors of L.
Zhang, Hua   +4 more
openaire   +3 more sources

Evaluating the suitability of urban development land with a Geodetector

open access: yesEcological Indicators, 2021
Ensuring the suitability of urban development land is essential for delineating spatial growth boundaries and urban spatial layouts. However, the significant impact of subjective uncertainty on the suitability evaluation process significantly reduces the reliability of the evaluation results.
Haiying Wang   +5 more
openaire   +2 more sources

Assessing habitat quality at Poyang Lake based on InVEST and Geodetector modeling

open access: yesEcology and Evolution, 2023
AbstractPoyang Lake is an essential natural wetland in the Yangtze River basin and plays a vital role in maintaining the ecosystem function and ecological security in the middle and lower reaches of the Yangtze River. However, the relative importance and spatial heterogeneity of the impacts of human activities and land use changes on ecological ...
Wenrui Yuan   +5 more
openaire   +3 more sources

An assessment of groundwater contamination in Central Valley aquifer, California using geodetector method [PDF]

open access: yesAnnals of GIS, 2017
ABSTRACTGroundwater nitrate contamination of the aquifer in the Central Valley, California is a major problem due to intense agricultural practice over the last decades. Excessive loading of fertilizer and manure in combination with hydrogeological parameters and geochemical conditions have enhanced the downward percolation of nitrate into the aquifer.
Anil Shrestha, Wei Luo
openaire   +1 more source

Spatial-Temporal Characteristics and Influencing Factors of Particulate Matter: Geodetector Approach

open access: yesLand, 2022
In 2019, South Korea’s Framework Act on The Management of Disasters and Safety was revised to include respirable particulate matter as a social disaster. Urban air pollution, especially particulate matter pollution, has been a serious threat to socioeconomic development and public health. In order to address this problem, strong climate crisis response
Hansol Mun, Mengying Li, Juchul Jung
openaire   +2 more sources

Spatiotemporal Evolution and Drivers of Highway Surface Deformation Based on SBAS-InSAR and Geodetector. [PDF]

open access: yesSensors (Basel)
To address the lack of long-term, wide-area surface deformation observations along the geologically complex Dangxiong–Yangbajing section of the G6 Expressway in the frozen-ground region of the Qinghai–Tibet Plateau, where conventional monitoring is insufficient, we applied Small Baseline Subset Interferometric Synthetic Aperture Radar (SBAS-InSAR) to ...
Chen Z, Li J, Zhang X, Bi J.
europepmc   +2 more sources

Analyzing Driving Factors of Soil Alkalinization Based on Geodetector—A Case in Northeast China

open access: yesSustainability, 2023
The Songnen Plain of Northeast China is one of the three largest soda saline–alkaline regions in the world. To better understand soil alkalinization in this important agricultural region of China, it is vital to explore the driving factors of soil alkalinity.
Lin Bai   +4 more
openaire   +1 more source

Correction: Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model

open access: yesPLOS ONE, 2021
[This corrects the article DOI: 10.1371/journal.pone.0241047.].
Yufan Hu, Yonghui Yao, Zhixiang Kou
openaire   +3 more sources

Spatial stratified heterogeneity of mumps incidence in China: a Geodetector-based analysis of driving factors. [PDF]

open access: yesFront Public Health
BackgroundChina reports the highest number of mumps cases globally, with the disease demonstrating distinct spatial clustering and variability characteristics.MethodsThis study employed descriptive statistics and spatial autocorrelation analysis to examine the spatial distribution characteristic and patterns of mumps across 31 Chinese provinces in 2020.
Hu K   +5 more
europepmc   +4 more sources

Exploring on the climate regionalization of Qinling-Daba mountains based on Geodetector-SVM model

open access: yesPLOS ONE, 2020
Qinling-Daba Mountains (QDM), which are located in central China, are considered as a significant climatic boundary delimiting north and south. However, the influence of complex topographic and climatic features makes it challenging to identify the exact location of the boundary, and different scholars delimit the boundary with significant differences.
Yufan Hu, Yonghui Yao, Zhixiang Kou
openaire   +4 more sources

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