scholarly journals Geospatial Information Visualization and Extended Reality Displays

2019 ◽  
pp. 229-277 ◽  
Author(s):  
Arzu Çöltekin ◽  
Amy L. Griffin ◽  
Aidan Slingsby ◽  
Anthony C. Robinson ◽  
Sidonie Christophe ◽  
...  
Keyword(s):  
Visual Analytics ◽  
Information Science ◽  
Mixed Reality ◽  
Geographic Information Science ◽  
Geographic Information ◽  
Geospatial Information ◽  
Digital Earth ◽  
Research Areas ◽  
Geovisual Analytics ◽  
Immersive Technologies

Abstract In this chapter, we review and summarize the current state of the art in geovisualization and extended reality (i.e., virtual, augmented and mixed reality), covering a wide range of approaches to these subjects in domains that are related to geographic information science. We introduce the relationship between geovisualization, extended reality and Digital Earth, provide some fundamental definitions of related terms, and discuss the introduced topics from a human-centric perspective. We describe related research areas including geovisual analytics and movement visualization, both of which have attracted wide interest from multidisciplinary communities in recent years. The last few sections describe the current progress in the use of immersive technologies and introduce the spectrum of terminology on virtual, augmented and mixed reality, as well as proposed research concepts in geographic information science and beyond. We finish with an overview of “dashboards”, which are used in visual analytics as well as in various immersive technologies. We believe the chapter covers important aspects of visualizing and interacting with current and future Digital Earth applications.

scholarly journals Visual analytics of movement: An overview of methods, tools and procedures

2012 ◽  
Vol 12 (1) ◽  
pp. 3-24 ◽  
Author(s):  
Natalia Andrienko ◽  
Gennady Andrienko
Keyword(s):  
Machine Learning ◽  
Visual Analytics ◽  
Data Analytics ◽  
Information Science ◽  
State Of The Art ◽  
Geographic Information Science ◽  
Geographic Information ◽  
Research Topic ◽  
Visual Methods ◽  
Movement Data

Analysis of movement is currently a hot research topic in visual analytics. A wide variety of methods and tools for analysis of movement data has been developed in recent years. They allow analysts to look at the data from different perspectives and fulfil diverse analytical tasks. Visual displays and interactive techniques are often combined with computational processing, which, in particular, enables analysis of a larger number of data than would be possible with purely visual methods. Visual analytics leverages methods and tools developed in other areas related to data analytics, particularly statistics, machine learning and geographic information science. We present an illustrated structured survey of the state of the art in visual analytics concerning the analysis of movement data. Besides reviewing the existing works, we demonstrate, using examples, how different visual analytics techniques can support our understanding of various aspects of movement.

scholarly journals Applications of GIScience for Land Administration

2020 ◽  
Vol 9 (7) ◽  
pp. 416
Author(s):  
Gerhard Navratil
Keyword(s):  
Public Administration ◽  
Information Science ◽  
Geographic Information Science ◽  
Geographic Information ◽  
General Picture ◽  
Research Areas ◽  
Land Administration ◽  
Societal Needs ◽  
Recent Trends ◽  
Land Administration Systems

Land administration is an essential part of public administration. Geographic Information Science (GIScience) deals with the concepts, principles, and models of geographic information. Land administration has always adopted new technological and scientific developments and thus it is reasonable to check, which results from GIScience can be used to improve land administration systems. This editorial paper introduces the key research areas for land administration. After that, 12 original papers are presented, which provide a general picture of recent trends in land administration research. This Special Issue shows that land administration as a scientific field is still evolving and adopting to the changing societal needs.

scholarly journals Revisiting the Role of Place in Geographic Information Science

2018 ◽  
Vol 7 (9) ◽  
pp. 364 ◽  
Author(s):  
Helena Merschdorf ◽  
Thomas Blaschke
Keyword(s):  
Information Science ◽  
Human Perception ◽  
Geographic Information Science ◽  
Geographic Information ◽  
Human Environment ◽  
Subjective Data ◽  
Main Research ◽  
The Social ◽  
The Individual

Although place-based investigations into human phenomena have been widely conducted in the social sciences over the last decades, this notion has only recently transgressed into Geographic Information Science (GIScience). Such a place-based GIS comprises research from computational place modeling on one end of the spectrum, to purely theoretical discussions on the other end. Central to all research that is concerned with place-based GIS is the notion of placing the individual at the center of the investigation, in order to assess human-environment relationships. This requires the formalization of place, which poses a number of challenges. The first challenge is unambiguously defining place, to subsequently be able to translate it into binary code, which computers and geographic information systems can handle. This formalization poses the next challenge, due to the inherent vagueness and subjectivity of human data. The last challenge is ensuring the transferability of results, requiring large samples of subjective data. In this paper, we re-examine the meaning of place in GIScience from a 2018 perspective, determine what is special about place, and how place is handled both in GIScience and in neighboring disciplines. We, therefore, adopt the view that space is a purely geographic notion, reflecting the dimensions of height, depth, and width in which all things occur and move, while place reflects the subjective human perception of segments of space based on context and experience. Our main research questions are whether place is or should be a significant (sub)topic in GIScience, whether it can be adequately addressed and handled with established GIScience methods, and, if not, which other disciplines must be considered to sufficiently account for place-based analyses. Our aim is to conflate findings from a vast and dynamic field in an attempt to position place-based GIS within the broader framework of GIScience.

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