GeoSpatial Visual Analytics

Geographical Information Processing and Visual Analytics for Environmental Security

  • Raffaele De Amicis
  • Radovan Stojanovic
  • Giuseppe Conti

Table of contents

  1. Front Matter
    Pages i-x
  2. Spatial Data Infrastructures

  3. Signal and Data Processing

    1. Ana M. Lazarevska, Nicole Fischer, Andreas Haarstrick, Kai MüNnich
      Pages 85-96
    2. Igor Djurović, Ljubiša Stanković, Vesna Popović, Miloš Daković, Thayananthan Thayaparan
      Pages 113-127
  4. Earth Observation and Remote Sensing

  5. Scientific Visualization

    1. Alvaro Segura, Aitor Moreno, Igor García, Naiara Aginako, Mikel Labayen, Jorge Posada et al.
      Pages 199-207
    2. Carlos Andújar, Pere Brunet, José Diaz
      Pages 209-213
    3. Ido A. Iurgel, Maribel Yasmina Santos
      Pages 235-250

About these proceedings

Introduction

Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).

Keywords

Catalog Service for the Web GIS Geoinformationssysteme digital elevation model geographic data geoinformation geospatial image processing information visualization remote sensing spatial data infrastructure visual analysis

Editors and affiliations

  • Raffaele De Amicis
    • 1
  • Radovan Stojanovic
    • 2
  • Giuseppe Conti
    • 1
  1. 1.Fondazione GraphiTech Center for Advanced Computer Graphics TechnologiesTrentoItaly
  2. 2.University of MontenegroPodgoricaMontenegro

Bibliographic information

  • DOI https://doi.org/10.1007/978-90-481-2899-0
  • Copyright Information Springer Netherlands 2009
  • Publisher Name Springer, Dordrecht
  • eBook Packages Earth and Environmental Science
  • Print ISBN 978-90-481-2898-3
  • Online ISBN 978-90-481-2899-0
  • Series Print ISSN 1874-6519
  • About this book
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