GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |
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DATUM, UNTERSCHRIFT / DATE, SIGNATURE
BANK AUSTRIA CREDITANSTALT, WIEN (IBAN AT04 1100 0006 2280 0100, BIC BKAUATWW), DEUTSCHE BANK MÜNCHEN (IBAN DE16 7007 0024 0238 8270 00, BIC DEUTDEDBMUC)
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GI_Forum 2017, Volume 5, Issue 1 Journal for Geographic Information Science
ISSN 2308-1708 Online Edition ISBN 978-3-7001-8158-3 Online Edition
Marion Borderon,
Stefan Kienberger,
Suresh Kumar,
Sébastien Oliveau,
Tuhin K. Das
S. 360 - 368 doi:10.1553/giscience2017_01_s360 Verlag der Österreichischen Akademie der Wissenschaften doi:10.1553/giscience2017_01_s360
Abstract: This case study proposes an alternative spatial sampling design when there is no enumeration of the target population. Empirical studies and spatial quantitative assessments at a local scale, in the global South or in a sensitive context often face the limitations of baseline knowledge and secondary data, resulting in the challenge of choosing methods or models appropriate to the situation. Yet, to understand the vulnerability of population to disasters and improve their resilience require a clear picture of the situation. Various methods have already been proposed for sampling when data on a population are limited. While taking these methods and their limits into account, we present a new approach to design a population sample by using Global Positioning Systems (GPS) loggers. GPS systems are now widely available and easy to use and are useful when it comes to collect accurate and consistent data. A stratified survey, combined with 4,095 questionnaires, was carried out in 2015 in Malda (West Bengal). The survey allowed us to capture the spatial pattern of the erosion-affected population and to better understand their vulnerability. The method therefore shows promise for use in case studies in environments where detailed geographic and human census data have either limited availability or little relevance. Keywords: Global Positioning System, spatial survey sample, data-limited environment, vulnerability assessment Published Online: 2017/06/30 12:23:53 Object Identifier: 0xc1aa5572 0x00369db7 Rights:https://creativecommons.org/licenses/by-nd/4.0/
GI_Forum publishes high quality original research across the transdisciplinary field of Geographic Information Science (GIScience). The journal provides a platform for dialogue among GI-Scientists and educators, technologists and critical thinkers in an ongoing effort to advance the field and ultimately contribute to the creation of an informed GISociety. Submissions concentrate on innovation in education, science, methodology and technologies in the spatial domain and their role towards a more just, ethical and sustainable science and society. GI_Forum implements the policy of open access publication after a double-blind peer review process through a highly international team of seasoned scientists for quality assurance. Special emphasis is put on actively supporting young scientists through formative reviews of their submissions. Only English language contributions are published.
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Verlag der Österreichischen Akademie der Wissenschaften Austrian Academy of Sciences Press
A-1011 Wien, Dr. Ignaz Seipel-Platz 2
Tel. +43-1-515 81/DW 3420, Fax +43-1-515 81/DW 3400 https://verlag.oeaw.ac.at, e-mail: verlag@oeaw.ac.at |