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Big Data is a concept of major relevance in today's world,
sometimes highlighted as a key asset for productivity growth,
innovation, and customer relationship, whose popularity has
increased considerably during the last years. Areas like smart
cities, manufacturing, retail, finance, software development,
environment, digital media, among others, can benefit from the
collection, storage, processing, and analysis of Big Data,
leveraging unprecedented data-driven workflows and considerably
improved decision-making processes. The concept of a Big Data
Warehouse (BDW) is emerging as either an augmentation or a
replacement of the traditional Data Warehouse (DW), a concept that
has a long history as one of the most valuable enterprise data
assets. Nevertheless, research in Big Data Warehousing is still in
its infancy, lacking an integrated and validated approach for
designing and implementing both the logical layer (data models,
data flows, and interoperability between components) and the
physical layer (technological infrastructure) of these complex
systems. This book addresses models and methods for designing and
implementing Big Data Systems to support mixed and complex decision
processes, giving special attention to BDWs as a way of efficiently
storing and processing batch or streaming data for structured or
semi-structured analytical problems.
This book collects innovative research presented at the 19th
Conference of the Association of Geographic Information
Laboratories in Europe (AGILE) on Geographic Information Science,
held in Helsinki, Finland in 2016.
This is a book is a collection of articles that will be submitted
as full papers to the AGILE annual international conference. These
papers go through a rigorous review process and report original and
unpublished fundamental scientific research. Those published cover
significant research in the domain of geographic information
science systems. This year the focus is on geographic information
science as an enabler of smarter cities and communities, thus we
expect contributions that help visualize the role and contribution
of GI science in their development.
This book collects innovative research presented at the 19th
Conference of the Association of Geographic Information
Laboratories in Europe (AGILE) on Geographic Information Science,
held in Helsinki, Finland in 2016.
This is a book is a collection of articles that will be submitted
as full papers to the AGILE annual international conference. These
papers go through a rigorous review process and report original and
unpublished fundamental scientific research. Those published cover
significant research in the domain of geographic information
science systems. This year the focus is on geographic information
science as an enabler of smarter cities and communities, thus we
expect contributions that help visualize the role and contribution
of GI science in their development.
For the fourth consecutive year, the Association of Geographic
Infor- tion Laboratories for Europe (AGILE) promoted the edition of
a book with the collection of the scientific papers that were
submitted as full-papers to the AGILE annual international
conference. Those papers went through a th competitive review
process. The 13 AGILE conference call for fu- papers of original
and unpublished fundamental scientific research resulted in 54
submissions, of which 21 were accepted for publication in this -
lume (acceptance rate of 39%). Published in the Springer Lecture
Notes in Geoinformation and Car- th graphy, this book is associated
to the 13 AGILE Conference on G- graphic Information Science, held
in 2010 in Guimaraes, Portugal, under the title "Geospatial
Thinking." The efficient use of geospatial information and related
technologies assumes the knowledge of concepts that are fundamental
components of Geospatial Thinking, which is built on reasoning
processes, spatial conc- tualizations, and representation methods.
Geospatial Thinking is associated with a set of cognitive skills
consisting of several forms of knowledge and cognitive operators
used to transform, combine or, in any other way, act on that same
knowledge. The scientific papers published in this volume cover an
important set of topics within Geoinformation Science, including:
Representation and Visualisation of Geographic Phenomena;
Spatiotemporal Data Analysis; Geo-Collaboration, Participation, and
Decision Support; Semantics of Geoinformation and Knowledge
Discovery; Spatiotemporal Modelling and Reasoning; and Web
Services, Geospatial Systems and Real-time Appli- tions."
For the fourth consecutive year, the Association of Geographic
Infor- tion Laboratories for Europe (AGILE) promoted the edition of
a book with the collection of the scientific papers that were
submitted as full-papers to the AGILE annual international
conference. Those papers went through a th competitive review
process. The 13 AGILE conference call for fu- papers of original
and unpublished fundamental scientific research resulted in 54
submissions, of which 21 were accepted for publication in this -
lume (acceptance rate of 39%). Published in the Springer Lecture
Notes in Geoinformation and Car- th graphy, this book is associated
to the 13 AGILE Conference on G- graphic Information Science, held
in 2010 in Guimaraes, Portugal, under the title "Geospatial
Thinking." The efficient use of geospatial information and related
technologies assumes the knowledge of concepts that are fundamental
components of Geospatial Thinking, which is built on reasoning
processes, spatial conc- tualizations, and representation methods.
Geospatial Thinking is associated with a set of cognitive skills
consisting of several forms of knowledge and cognitive operators
used to transform, combine or, in any other way, act on that same
knowledge. The scientific papers published in this volume cover an
important set of topics within Geoinformation Science, including:
Representation and Visualisation of Geographic Phenomena;
Spatiotemporal Data Analysis; Geo-Collaboration, Participation, and
Decision Support; Semantics of Geoinformation and Knowledge
Discovery; Spatiotemporal Modelling and Reasoning; and Web
Services, Geospatial Systems and Real-time Appli- tions."
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