Results 21 to 30 of about 17,496 (275)

Specific urban units identified in tuberculosis epidemic using a geographical detector in Guangzhou, China. [PDF]

open access: yesInfect Dis Poverty, 2022
Abstract Background A remarkable drop in tuberculosis (TB) incidence has been achieved in China, although in 2019 it was still considered the second most communicable disease. However, TB’s spatial features and risk factors in urban areas remain poorly understood.
Ren H, Lu W, Li X, Shen H.
europepmc   +4 more sources

Identifying Influencing Factors of Agricultural Soil Heavy Metals Using a Geographical Detector: A Case Study in Shunyi District, China

open access: yesLand, 2021
Identifying influencing factors of heavy metals is essential for soil evaluation and protection. This study investigates the use of a geographical detector to identify influencing factors of agricultural soil heavy metals from natural and anthropogenic ...
Shiwei Dong   +4 more
doaj   +2 more sources

Crime Geographical Displacement: Testing Its Potential Contribution to Crime Prediction

open access: yesISPRS International Journal of Geo-Information, 2019
Crime geographical displacement has been examined in many Western countries. However, little is known about its existence, distribution, and potential predictive ability in large cities in China.
Zengli Wang   +3 more
doaj   +2 more sources

Identification of spatial distribution and drivers for grasshopper populations based on geographic detectors

open access: yesEcological Indicators, 2023
Grasshoppers are important elements for supporting ecosystem services which make it important to understand their spatial distribution characteristics to reduce outbreaks, implement effective control while minimizing non-target impacts.
Shuhua Wei   +9 more
doaj   +2 more sources

Spatial Patterns of China’s Ski Resorts and Their Influencing Factors: A Geographical Detector Study [PDF]

open access: yesSustainability, 2021
This study uses geographic information systems (GIS) and geographical detector techniques to explore the national and regional pattern of the spatial distribution of China’s ski resorts, and quantitatively identifies the main factors that influence their location.
Yan Fang   +4 more
openaire   +2 more sources

Rural Resilience Evaluation and Influencing Factor Analysis Based on Geographical Detector Method and Multiscale Geographically Weighted Regression

open access: yesLand, 2023
Resilience evaluation is an important foundation for sustainable rural development. Taking the 57 counties in Guangdong province as examples, this study used the CRITIC method to construct a comprehensive evaluation index system for rural resilience and identified the main influencing factors and their spatial heterogeneity on the basis of the ...
Huimin Wang, Yihuan Xu, Xiaojian Wei
openaire   +3 more sources

Quantitative analysis of NDVI driving factors based on the geographical detector model in the Chengdu-Chongqing region, China

open access: yesEcological Indicators, 2023
In the circumstance of global change, studying the dynamic changes of vegetation and the factors that influence it holds immense practical significance to monitor the quality of the regional ecological environment and improve the structure and function ...
Yan Zhang   +4 more
doaj   +2 more sources

An optimal multivariate-stratification geographical detector model for revealing the impact of multi-factor combinations on the dependent variable

open access: yesGIScience & Remote Sensing
Spatial heterogeneity (SH), known as the second law of geography, has been a topic of extensive research. One common approach to analyzing SH involves comparing variances between and within strata to assess the impact of independent variables on the ...
Yingfeng Guo   +3 more
doaj   +3 more sources

Understanding and extending the geographical detector model under a linear regression framework

open access: yesInternational Journal of Geographical Information Science, 2023
Guanpeng Dong   +2 more
exaly   +2 more sources

Analysis of the spatial association of geographical detector-based landslides and environmental factors in the southeastern Tibetan Plateau, China. [PDF]

open access: yesPLoS One, 2021
Steep canyons surrounded by high mountains resulting from large-scale landslides characterize the study area located in the southeastern part of the Tibetan Plateau.
Jia WJ, Wang MF, Zhou CH, Yang QH.
europepmc   +2 more sources

Home - About - Disclaimer - Privacy