Multivariate Methods for Spatial Data Exploration

2012 ◽  
pp. 237-276
Keyword(s):  
Spatial Data ◽  
Data Exploration ◽  
Multivariate Methods

Cognitive Aspects on the Representation of Dynamic Environmental Phenomena Using Animations

2001 ◽  
pp. 13-24 ◽  
Author(s):  
Patrick J. Ogao ◽  
Connie A. Blok
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Problem Solving ◽  
Spatial Data ◽  
Scientific Data ◽  
Data Availability ◽  
Data Exploration ◽  
Spatial Data Analysis ◽  
Wide Range ◽  
Interdisciplinary Nature

Measurements from dynamic environmental phenomena have resulted in the acquisition and generation of an enormous amount of data. This upsurge in data availability can be attributed to the interdisciplinary nature of environmental problem solving and the wide range of acquisition technology involved. In essence, users are dealing with data that is complex in nature, multidimensional and probably of a temporal nature. Also, the frequency by which this data is acquired far exceeds the rate at which it is being explored, a factor that has accelerated the search for innovative approaches and tools in spatial data analysis. These attempts have seen both analytical and visual techniques being used as aids in presentation and scientific data exploration. Examples are seen in techniques as in: data mining, data exploration and visualization.

The 2nd ACM SIGSPATIAL International Workshop on Geospatial Data Access and Processing APIs (SpatialAPI 2020)

2021 ◽  
Vol 12 (3) ◽  
pp. 20-22
Author(s):  
Ahmed Eldawy ◽  
Gobe Hobona
Keyword(s):  
Spatial Data ◽  
International Workshop ◽  
Data Access ◽  
Database Systems ◽  
Cutting Edge ◽  
Geospatial Data ◽  
Data Exploration

With the increasing amount of publicly available geospatial data, the demand on spatial data exploration and analysis kept growing. The SIGSPATIAL community is both a provider of new systems with cutting-edge technology on accessing and processing geospatial data, and a user for all these systems. The SpatialAPI workshop is designed to help the SIGSPATIAL community by growing the knowledge of the existing well-established systems that are available for accessing and processing geospatial data. This includes, but is not limited to, web APIs, programming libraries, database systems, and geospatial extensions to existing systems.

Multi-Touch Querying on Data Physicalizations in Immersive AR

2021 ◽  
Vol 5 (ISS) ◽  
pp. 1-20
Author(s):  
Bridger Herman ◽  
Maxwell Omdal ◽  
Stephanie Zeller ◽  
Clara A. Richter ◽  
Francesca Samsel ◽  
...  
Keyword(s):  
Spatial Data ◽  
Data Exploration ◽  
Climate Simulation ◽  
Terrain Models ◽  
3D Data ◽  
Data Querying ◽  
3D Printers ◽  
Abstract Data ◽  
3D Printed ◽  
Quantitative Performance

Data physicalizations (3D printed terrain models, anatomical scans, or even abstract data) can naturally engage both the visual and haptic senses in ways that are difficult or impossible to do with traditional planar touch screens and even immersive digital displays. Yet, the rigid 3D physicalizations produced with today's most common 3D printers are fundamentally limited for data exploration and querying tasks that require dynamic input (e.g., touch sensing) and output (e.g., animation), functions that are easily handled with digital displays. We introduce a novel style of hybrid virtual + physical visualization designed specifically to support interactive data exploration tasks. Working toward a "best of both worlds" solution, our approach fuses immersive AR, physical 3D data printouts, and touch sensing through the physicalization. We demonstrate that this solution can support three of the most common spatial data querying interactions used in scientific visualization (streamline seeding, dynamic cutting places, and world-in-miniature visualization). Finally, we present quantitative performance data and describe a first application to exploratory visualization of an actively studied supercomputer climate simulation data with feedback from domain scientists.

A user-centered design for a spatial data warehouse for data exploration in environmental research

2008 ◽  
Vol 3 (4-5) ◽  
pp. 273-285 ◽  
Author(s):  
Michael McGuire ◽  
Aryya Gangopadhyay ◽  
Anita Komlodi ◽  
Christopher Swan
Keyword(s):  
Data Warehouse ◽  
Spatial Data ◽  
Data Exploration ◽  
Environmental Research ◽  
User Centered Design ◽  
Spatial Data Warehouse ◽  
User Centered

scholarly journals Enhancing interaction in maritime spatial planning workshops through collaborative GIS

2020 ◽  
Vol 2 ◽  
pp. 1-2
Author(s):  
Mikko Rönneberg ◽  
Christian Koski ◽  
Pyry Kettunen ◽  
Juha Oksanen
Keyword(s):  
Spatial Analysis ◽  
Spatial Data ◽  
Spatial Planning ◽  
Geospatial Data ◽  
Data Exploration ◽  
Analysis Tool ◽  
User Test ◽  
Wind Park ◽  
Maritime Spatial Planning ◽  
Collaborative Gis

Abstract. We have created a cross-platform web-map CGIS for collaborative Maritime Spatial Planning (MSP) workshops, called Baltic Explorer [1]. MSP requires simple and easy to use tools for facilitating discussion and managing spatial data in collaborative workshops (Pınarbaşı et al. 2017). Yet, according to reports from real-world MSP workshops, digital spatial tools are used scarcely, with planners preferring paper maps and pens to handle the geospatial interaction. Collaborative GIS (CGIS) offers tools for structuring participation in group spatial decision processes (Balram & Dragicevic 2006). Therefore, CGIS can have potential to improve many aspects of MSP workshops.Baltic Explorer offers multi-user map workspaces for collaborative geospatial data exploration, spatial analysis and collaborative map drawing, Figure 1. In MSP workshops the workflow with Baltic Explorer starts with organisers creating workspaces for the participants. During the workshop participants can explore the large amount of MSP related geospatial data overlays provided by multiple SDIs. This offers overall and detailed insight for the workshop task. Participants can contribute by sharing features they have drawn on the workspace map. These features can be viewed and edited by other participants to allow for a more interactive way of collaborating.Baltic Explorer was demonstrated and evaluated in two real-word MSP workshops as well as in a gamified user test. The first workshop was a cross-border meeting where various stakeholders discussed planning objectives and available data. The evaluation focused on exploration of geospatial data and collaborative map drawing tools. The second workshop was a cross-sector event where participants were tasked to identify a new suitable wind park site using the on-the-fly spatial analysis tool which was also the focus of the evaluation. In the gamified user test participants were tasked to play a game that simulated common MSP workshop tasks using Baltic Explorer with personal and shared device setups. The evaluation focused on the device setup to be used with CGIS tools in MSP. In all three demonstrations evaluation was carried out via naturalistic observation and questionnaires.The new way of working with spatial data in MSP workshops was well received by participants. According to the questionnaire and observations in the first workshop, participants found the geospatial data exploration and collaborative map drawing tools helpful for various tasks. The same applied in the second evaluation while also the analysis tool was considered useful. The gamified user test revealed that multiple device types, such as laptops and large screens, are recommended for MSP workshops. Access to geospatial data was considered important in all the workshops. The observation, feedback, results from questionnaires and requirements from literature were used to refine the concept of Baltic Explorer, as well as to design, enhance and add utility to the system (e.g. spatial analysis). The conducted research adds to the knowledge about interaction with spatial data in collaborative workshops, which can enhance future CGIS.

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