Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)


GI_Forum 2019, Volume 7, Issue 1

Journal for Geographic Information Science


ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8609-0
Online Edition
doi:10.1553/giscience2019_01_
GI_Forum 2019,  Volume 7,  Issue 1 
 
Open access


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

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.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)

Bestellung/Order


GI_Forum 2019, Volume 7, Issue 1

ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8609-0
Online Edition



Send or fax to your local bookseller or to:

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: bestellung.verlag@oeaw.ac.at
UID-Nr.: ATU 16251605, FN 71839x Handelsgericht Wien, DVR: 0096385

Bitte senden Sie mir
Please send me
 
Exemplar(e) der genannten Publikation
copy(ies) of the publication overleaf


NAME


ADRESSE / ADDRESS


ORT / CITY


LAND / COUNTRY


ZAHLUNGSMETHODE / METHOD OF PAYMENT
    Visa     Euro / Master     American Express


NUMMER

Ablaufdatum / Expiry date:                      

    I will send a cheque           Vorausrechnung / Send me a proforma invoice
 
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)
X
BibTEX-Export:

X
EndNote/Zotero-Export:

X
RIS-Export:

X 
Researchgate-Export (COinS)

Permanent QR-Code
Permanent QR-Code of DOI
doi:10.1553/giscience2019_01_s69


Permanent QR-Code of DOI
doi:10.1553/giscience2019_01_s69



Thema: geography
Adrijana Car – Thomas Jekel – Josef Strobl – Gerald Griesebner (Eds.)


GI_Forum 2019, Volume 7, Issue 1

Journal for Geographic Information Science


ISSN 2308-1708
Online Edition

ISBN 978-3-7001-8609-0
Online Edition
doi:10.1553/giscience2019_01_
GI_Forum 2019,  Volume 7,  Issue 1 
 
Open access


Christoph Erlacher, Angelika Desch, Karl-Heinrich Anders, Piotr Jankowski, Gernot Paulus
S.  69 - 86
doi:10.1553/giscience2019_01_s69

Verlag der Österreichischen Akademie der Wissenschaften


doi:10.1553/giscience2019_01_s69
Abstract:
This article focuses on a cluster-based parallel and distributed approach for large raster datasets in the context of Spatial Multicriteria Decision Analysis (S-MCDA). The research addresses a land-prioritization model with respect to conservation practices. The reliability of the model results is examined using a variance-based Spatially-Explicit Uncertainty and Sensitivity (SEUSA) framework. The original case study area to which we applied the model was located in southwest Michigan, USA, and incorporated millions of mapping units (pixels). As part of the model sensitivity analysis, several thousand intermediate raster datasets representing suitability surfaces are generated by means of a Monte Carlo Simulation (MCS). The creation of the suitability surfaces represents the most time-consuming and memory-intensive step within the SEUSA framework. Sequential computational approaches to implementing SEUSA often have to accept a compromise with respect to problem size and the number of simulations, resulting in the low quality of the model sensitivity measures. This article presents the concept and implementation of a distributed and parallel solution based on the Python-Dask framework in order to improve the quality of SEUSA results for computationally-intensive spatial models.

Keywords:  parallel and distributed computing, Python Dask framework, Monte Carlo Simulation, spatially-explicit uncertainty and sensitivity analysis, spatial multi-criteria decision analysis
Published Online:  2019/06/19 08:07:45
Object Identifier:  0xc1aa5576 0x003aba32

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.

Starting 2016, GI_Forum publishes two issues a Year.
Joumal Information is available at: GI-Forum
GI_Forum is listed on the Directory of Open Access Journals (DOAJ)



Vergessen Sie nicht das Login am Server, wenn Sie auf Kapitel zugreifen wollen, die nicht allgemein zugänglich sind.
Links zu diesen Dokumenten werden erst nach dem Login sichtbar.
Do not forget to Login on the server if you want to access chapters that are not freely accessible.
Links to these documents will only be visible after logon.

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