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Author
Sérgio Freire
;
Aneta Florczyk
;
Martino Pesaresi
Title
New Multi-temporal Global Population Grids ? Application to Volcanism
Type
Conference Article
Year
2016
Publication
ISCRAM 2016 Conference Proceedings ? 13th International Conference on Information Systems for Crisis Response and Management
Abbreviated Journal
ISCRAM 2016
Volume
Issue
Pages
Keywords
Built up
;
GHSL
;
Population Distribution
;
Dasymetric Mapping
;
Volcanoes
;
Spatio-temporal Analysis
Abstract
Better and finer global analyses of human exposure and risk of natural disasters require improved geoinformation on population distribution and densities, in particular concerning temporal and spatial resolution and capacity for change assessment. This paper presents the development of new multi-temporal global population grids and illustrates their value in the context of risk analysis by estimating the worldwide distribution of population in relation to recent volcanism. Results indicate that almost 6% of the world?s 2015 population lived within 100 km of a volcano with at least one significant eruption, and more than 12% within 100 km of a Holocene volcano, with human concentrations in this zone increasing since 1990 above the global population change rate. The novel 250-m resolution population grids constitute the new state-of-the-art in terms of global geospatial population data, with the potential to advance modeling and analyses at all stages of the emergency management cycle.
Address
Corporate Author
Thesis
Publisher
Federal University of Rio de Janeiro
Place of Publication
Rio de Janeiro, Brasil
Editor
A. Tapia; P. Antunes; V.A. Bañuls; K. Moore; J. Porto
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
2411-3433
ISBN
978-84-608-7984-54
Medium
Track
Geospatial Data and Geographical Information Science
Expedition
Conference
13th International Conference on Information Systems for Crisis Response and Management
Notes
Approved
no
Call Number
Serial
1373
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