Himanshu Grover

TL;DR: In this paper, the role of place and proximity in public perceptions of global climate change has been examined, and the most important indicators shaping individual risk perception are identified and explained using Bivariate correlation and multivariate regression analyses.

TL;DR: This article used Geographic Information Systems (GIS) analytic techniques to map and measure survey respondents' climate change risk at various levels of spatial resolution and precision, including demographic, attitudinal and perception-based variables derived from a representative national survey of U.S. residents.

TL;DR: This research void is addressed by analysing 832 countywide flood events in Texas from 1997-2001 to examine whether geographic localities characterised by high percentages of socially vulnerable populations experience significantly more casualties due to flood events, adjusting for characteristics of the natural and built environment.

TL;DR: This article examined the reasons why a US locality would voluntarily commit to the Cities for Climate Protection (CCP) campaign using geographic information systems analytic techniques, and measured a locality's vulnerability to climate-change impacts at the county level of spatial precision.

TL;DR: In this article, the authors examined metropolitan area commitment to the Cities for Climate Protection (CCP) campaign and found that high stressor areas are significantly less likely to participate in the CCP campaign, and metros high in civic capacity are significantly more likely to commit to the campaign.