Dynamics in GIscience

  • Igor Ivan
  • Jiří Horák
  • Tomáš Inspektor
Conference proceedings GIS OSTRAVA 2017

Part of the Lecture Notes in Geoinformation and Cartography book series (LNGC)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Dalibor Bartoněk, Stanislava Dermeková, Ján Škurla
    Pages 1-15
  3. Václav Čada, Ondřej Dudáček
    Pages 47-55
  4. Agnieszka Dawidowicz, Anna Klimach, Ryszard Źróbek
    Pages 57-69
  5. Agnieszka Dawidowicz, Marcin Kulawiak, Krzysztof Bruniecki, Marek Ogryzek
    Pages 71-80
  6. Marcelo Galvao, Francisco Ramos, Marcus Lamar, Pastor Taco
    Pages 99-113
  7. Vendula Hejlová, Tomáš Pohanka
    Pages 115-130
  8. Jiří Horák, Igor Ivan, Vít Voženílek, Jan Tesla
    Pages 149-164
  9. Jan Kazak, Mieczysław Chalfen, Joanna Kamińska, Szymon Szewrański, Małgorzata Świąder
    Pages 195-207
  10. Kira Kempinska, Toby Davies, John Shawe-Taylor, Paul Longley
    Pages 209-221
  11. Gilbert Kotzbek, Wolfgang Kainz
    Pages 239-252
  12. Felix Kunde, Alexander Hartenstein, Petra Sauer
    Pages 253-265
  13. Marta Kuźma, Łukasz Gładysz, Mateusz Gralewicz, Paweł Krawczyk
    Pages 267-276

About these proceedings

Introduction

This book is intended for researchers, practitioners and students who are interested in the current trends and want to make their GI applications and research dynamic. Time is the key element of contemporary GIS: mobile and wearable electronics, sensor networks, UAVs and other mobile snoopers, the IoT and many other resources produce a massive amount of data every minute, which is naturally located in space as well as in time. Time series data is transformed into almost (from the human perspective) continuous data streams, which require changes to the concept of spatial data recording, storage and manipulation.

This book collects the latest innovative research presented at the GIS Ostrava 2017 conference held in 2017 in Ostrava, Czech Republic, under the auspices of EuroSDR and EuroGEO. The accepted papers cover various aspects of dynamics in GIscience, including spatiotemporal data analysis and modelling; spatial mobility data and trajectories; real-time ge
odata and real-time applications; dynamics in land use, land cover and urban development; visualisation of dynamics; open spatiotemporal data; crowdsourcing for spatiotemporal data and big spatiotemporal data.

Keywords

Big Data Geoinformatics Mobility and Trajectories Spatio-temporal Data Spatio-temporal Analysis Time series data GIS Ostrava 2017 Time geography

Editors and affiliations

  • Igor Ivan
    • 1
  • Jiří Horák
    • 2
  • Tomáš Inspektor
    • 3
  1. 1.Institute of GeoinformaticsVŠB-Technical University of OstravaOstrava - PorubaCzech Republic
  2. 2.Institute of GeoinformaticsVŠB-Technical University of OstravaOstrava - PorubaCzech Republic
  3. 3.Institute of GeoinformaticsVŠB-Technical University of OstravaOstrava - PorubaCzech Republic

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-61297-3
  • Copyright Information Springer International Publishing AG 2018
  • Publisher Name Springer, Cham
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-3-319-61296-6
  • Online ISBN 978-3-319-61297-3
  • Series Print ISSN 1863-2246
  • Series Online ISSN 1863-2351
  • About this book