The Rise of Big Spatial Data

418 Pages·2017·12.939 MB·English

by  Igor Ivan, Alex Singleton, Jiří Horák, Tomáš Inspektor (eds.)

Lecture Notes
in Geoinformation and Cartography
Igor Ivan
Alex Singleton
Jiří Horák
Tomáš Inspektor Editors
The Rise of
Big Spatial
Data
Lecture Notes in Geoinformation and
Cartography
Series editors
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Liqiu Meng, Munich, Germany
Michael P. Peterson, Omaha, USA
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ří á
Igor Ivan Alex Singleton Ji Hor k
(cid:129) (cid:129)
áš
Tom Inspektor
Editors
The Rise of Big Spatial Data
123
Editors
Igor Ivan JiříHorák
Institute of Geoinformatics Institute of Geoinformatics
VŠB-Technical University of Ostrava VŠB-Technical University of Ostrava
Ostrava, Moravskoslezsky Ostrava, Moravskoslezsky
Czech Republic Czech Republic
AlexSingleton TomášInspektor
Department ofGeography andPlanning Institute of Geoinformatics
University of Liverpool VŠB-Technical University of Ostrava
Liverpool, Merseyside Ostrava, Moravskoslezsky
UK Czech Republic
ISSN 1863-2246 ISSN 1863-2351 (electronic)
Lecture Notesin Geoinformation andCartography
ISBN978-3-319-45122-0 ISBN978-3-319-45123-7 (eBook)
DOI 10.1007/978-3-319-45123-7
LibraryofCongressControlNumber:2016948251
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GIS Ostrava 2016—The Rise of Big Spatial Data
March 16th–18th 2016, Ostrava, Czech Republic
Preface
Welcometothe dawn ofthe Eraof BigData.Big spatial dataarecharacterised by
three main features: volume beyond the limit of usual geo-processing, velocity
higher than available by usual processes, and variety, combining more diverse
geodatasourcesthanusual.Thepopulartermdenotesasituationwhenoneormore
ofthesekeypropertiesreachastatewhentraditionalmethodsofgeodatacollection,
storing, processing, controlling, analysing, modelling, validating, and visualising
fail to provide effective solutions. Entering the Era of Big Spatial Data requires
findingsolutionsaddressingall“smalldata”issuesthatwillsooninduce“bigdata”
troubles.ResilienceforBigSpatialDatameanssolvingheterogeneityofspatialdata
sources (in topics, purpose, completeness, guarantee, licensing, coverage, etc.),
large volumes (from gigabytes to terabytes and more), undue complexity of
geo-applications and systems (i.e. combination of standa-lone applications with
Web services, mobile platforms, and sensor networks), neglected automation of
geodata preparation (i.e. harmonisation, fusion), insufficient control of geodata
collectionanddistributionprocesses(i.e.scarcityandpoorqualityofmetadataand
metadatasystems),limitedcapacityofanalyticaltools(i.e.dominationoftraditional
causal-driven analysis), low performance of visual systems, inefficient knowledge
discovery techniques (for transformation of vast amounts of information into tiny
andessentialoutputs),andmanymore.Thesetrendswillevenaccelerateassensors
in the world become more ubiquitous. These proceedings should help to regulate
the flood of spatial data.
Ostrava, Czech Republic Igor Ivan
vii
Programme Committee
Igor Ivan (VŠB-Technical University of Ostrava, CZE)—Chair
Hassan Karimi (University of Pittsburgh, USA)
Nick Bearman (Liverpool University, GBR)
Lex Comber (University of Leicester, GBR)
Mei-Po Kwan (University of Illinois, USA)
Atsuyuki Okabe (University of Tokyo, JPN)
Dani Aribas Bel (University of Liverpool, GBR)
Martin Raubal (ETH Zurich, CHE)
Alex Singleton (Liverpool University, GBR)
Jaroslav Hofierka (Pavol Jozef Safarik University in Kosice, SVK)
Bin Jiang (University of Gävle, SWE)
Juan Carlos García Palomares (Universidad Complutense de Madrid, ESP)
Jiří Horák (VŠB-Technical University of Ostrava, CZE)
Stewart Fotheringham (Arizona State University, USA)
Ákos Jakobi (Eötvös Loránd University, Budapest, HUN)
Cidália Costa Fonte (Universidade de Coimbra, PT)
James Haworth (University College London, GBR)
Marcin Stępniak (Polish Academy of Sciences, PL)
Hrvoje Gold (University of Zagreb, HR)
Gennady Andrienko (Fraunhofer Institute for Intelligent Analysis and Information
Systems, GE)
Natalia Andrienko (Fraunhofer Institute for Intelligent Analysis and Information
Systems, GE)
David W. Wong (George Mason University, USA)
Tao Cheng (University College London, GBR)
Vít Voženílek (Palacký Univerzity, CZE)
Harry J.P. Timmermans (Eindhoven University of Technology, NLD)
Soora Rasouli (Eindhoven University of Technology, NLD)
David O’Sullivan (Berkeley, University of California, USA)
ix
Acknowledgments
The editorsofthis bookwouldlike to thank all the people who havebeen directly
orindirectlyinvolvedinthedevelopmentofthisproceedings.Firstofall,wewould
like to thank all the authors who submitted papers. Special thanks go to all the
authors whose work were finally included into this book. Next, we would like to
thank the scientific committee members and all the reviewers who worked hard to
read all the submitted papers, provided suggestions, and helped with the selection
process. Each chapter was reviewed by at least two scientific committee members
or other reviewers. As a final note, we would like to thank European Spatial Data
Research Organisation (EuroSDR), International Society for Photogrammetry and
Remote Sensing (ISPRS), European Association of Geographers (EUROGEO),
Czech Association for Geoinformation (CAGI), Slovak Association for
Geoinformatics (SAGI), Czech Geographical Society (ČGS), Miroslav Novák the
PresidentoftheMoravian-SilesianRegion,TomášMacuratheMayoroftheCityof
Ostrava and Prof. Ivo Vondrák the Rector of VŠB—Technical University of
Ostrava for they support.
xi
Contents
Application of Web-GIS for Dissemination and 3D
Visualization of Large-Volume LiDAR Data.. .... .... .... ..... .... 1
Marcin Kulawiak and Marek Kulawiak
Design and Evaluation of WebGL-Based Heat Map
Visualization for Big Point Data ... .... .... .... .... .... ..... .... 13
JanJežek,KarelJedlička,TomášMildorf,JáchymKellarandDanielBeran
Open Source First Person View 3D Point Cloud
Visualizer for Large Data Sets..... .... .... .... .... .... ..... .... 27
Arnaud Palha, Arnadi Murtiyoso, Jean-Christophe Michelin,
Emmanuel Alby and Pierre Grussenmeyer
Web-Based GIS Through a Big Data Open Source Computer
Architecture for Real Time Monitoring Sensors of a Seaport..... .... 41
Pablo Fernández, Jose M. Santana, Sebastián Ortega, Agustín Trujillo,
Jose P. Suárez, Jaisiel A. Santana, Alejandro Sánchez
and Conrado Domínguez
Deriving Traffic-Related CO Emission Factors with High
2
Spatiotemporal Resolution from Extended Floating Car Data..... .... 55
Gernot Pucher
Combining Different Data Types for Evaluation
of the Soils Passability .. .... ..... .... .... .... .... .... ..... .... 69
Martin Hubáček, Lucie Almášiová, Karel Dejmal and Eva Mertová
Sparse Big Data Problem. A Case Study
of Czech Graffiti Crimes. .... ..... .... .... .... .... .... ..... .... 85
Jiří Horák, Igor Ivan, Tomáš Inspektor and Jan Tesla
xiii