Spatial Patterns of Mortality in the United States: A Spatial Filtering Approach

2019 ◽  
Author(s):  
Kyran Cupido ◽  
Petar Jevtic ◽  
Antonio Paez
2008 ◽  
Vol 47 (7) ◽  
pp. 1888-1909 ◽  
Author(s):  
Jin-Tai Lin ◽  
Kenneth O. Patten ◽  
Katharine Hayhoe ◽  
Xin-Zhong Liang ◽  
Donald J. Wuebbles

Abstract Future projections of near-surface ozone concentrations depend on the climate/emissions scenario used to drive future simulations, the direct effects of the changing climate on the atmosphere, and the indirect effects of changing temperatures and CO2 levels on biogenic ozone precursor emissions. The authors investigate the influence of these factors on potential future changes in summertime daily 8-h maximum ozone over the United States and China by comparing Model for Ozone and Related Chemical Tracers, version 2.4, (MOZART-2.4) simulations for the period 1996–2000 with 2095–99, using climate projections from NCAR–Department of Energy Parallel Climate Model simulations driven by the Intergovernmental Panel on Climate Change Special Report on Emissions Scenarios A1fi (higher) and B1 (lower) emission scenarios, with corresponding changes in biogenic emissions. The effect of projected climate changes alone on surface ozone is generally less than 3 ppb over most regions. Regional ozone increases and decreases are driven mainly by local warming and marine air dilution enhancement, respectively. Changes are approximately the same magnitude under both scenarios, although spatial patterns of responses differ. Projected increases in isoprene emissions (32%–94% over both countries), however, result in significantly greater changes in surface ozone. Increases of 1–15 ppb are found under A1fi and of 0–7 ppb are found under B1. These increases not only raise the frequency of “high ozone days,” but are also projected to occur nearly uniformly across the distribution of daily ozone maxima. Thus, projected future ozone changes appear to be more sensitive to changes in biogenic emissions than to direct climate changes, and the spatial patterns and magnitude of future ozone changes depend strongly on the future emissions scenarios used.


2017 ◽  
Vol 552 ◽  
pp. 578-585 ◽  
Author(s):  
Tiejun Wang ◽  
Qin Liu ◽  
Trenton E. Franz ◽  
Ruopu Li ◽  
Yunchao Lang ◽  
...  

Author(s):  
Tal Modai-Snir

AbstractDespite its egalitarian past, in recent decades Israel followed the footsteps of the United States in terms of growing inequality levels and reduced welfare arrangements. It is assumed, therefore, to have followed similar trends of increasing residential segregation between income groups. This study focuses on the metropolitan area of Tel-Aviv, Israel’s financial and cultural centre and examines the change in the spatial distribution of income groups between the years 1995–2008. It identifies trends in segregation between top and bottom income earners, as well as those between other income groups, given corresponding trends in income inequality. In addition, it examines spatial patterns of affluence and poverty concentration and assesses the influence of concentrated disadvantage among specific income and religious groups on overall segregation trends.


2021 ◽  
Author(s):  
Rowan Dorin

Corpus Synodalium is a multi-year collaborative project (2016-) to compile a repertory of local ecclesiastical legislation (principally diocesan statutes and provincial canons) produced in Latin Christendom from 1200-1500, and to facilitate their study through the production of a corpus of full-text transcriptions. The project website allows users to explore and compare these texts using a variety of simple text analysis tools (including fuzzy and faceted searches, collocation, and time series). Users can also export search results to the first-ever digital atlas of medieval European dioceses and ecclesiastical provinces, in order to look for spatial patterns within the text corpus. The project was led by Rowan Dorin (History Department, Stanford University), with the support of a team of collaborators in the United States and Europe.


Sign in / Sign up

Export Citation Format

Share Document