Learning income levels and inequality from spatial and sociodemographic data in Germany

Garbasevschi, Oana M.; Taubenböck, Hannes; Schule, Paul A.; Baarck, Julia; Hufe, Paul; Wurm, Michael; Peichl, Andreas

doi:10.1016/j.apgeog.2023.103058

Cited by 1 publication

(1 citation statement)

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“…To account for potential multicollinearity among the extreme indices used in this study, we conducted Pearson correlation analysis and calculated the variance inflation factors (VIFs) to detect any potential multicollinearity. Previous studies [73,74] indicated that multicollinearity shall be considered to exist when the Pearson correlation coefficient is greater than 0.85, or the VIF value is greater than 10. Tables 11-13 below show the Pearson correlation coefficients and VIFs of the extreme climate indices.…”

Section: Discussion and Future Workmentioning

confidence: 99%

Urbanization Effect on Changes in Extreme Climate Events in Urumqi, China, from 1976 to 2018

Abulimiti,

Liu,

Yang

et al. 2024

Land

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This study investigates, for the first time, the urbanization effect (UE) on local extreme climate events in Urumqi, China, based on 22 indices of climate extremes, which are calculated with daily observation data from 1976 to 2018. These analyses reveal a pronounced nocturnal urban heat island (UHI) effect and a daytime urban cold island (UCI) effect. Due to Urumqi’s arid climate background, the UCI effect is considered a unique feature of the UE, which significantly differs from those in eastern and northern China. The UE on the TR20 index (number of days with minimum daily temperature exceeding 20 °C) reached 5.22 d/10a, indicating that urbanization has led to a fast increase in the number of hot nights in Urumqi. The absolute averaged UE on the indices measuring the frequency of warm events is about twice as large as that on the indices measuring the frequency of cold events, while that on the indices measuring the intensity of warm events is about one third of that on the indices measuring the intensity of cold events. The highest averaged urbanization contributions (UCs) to the extreme warm and cold events are represented by the frequency indices and the intensity indices, respectively, while those contributing to the extreme precipitation events are represented by the duration indices. Moreover, urbanization probably exacerbates the degree of wetting in the overall “warming and wetting” climate trend of the region. These findings can be seen as new evidence to provide scientific basis for further investigation of the UE on climate changes in arid regions.

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Section: Discussion and Future Workmentioning

confidence: 99%