Hypercube-Based Visualization Architecture for Web-Based Environmental Geospatial Information Systems

Enescu, Ionuţ Iosifescu; Vescoukis, Vassilios; Enescu, Cristina M. Iosifescu; Müller, Fabian; Panchaud, Nadia H.; Hurni, Lorenz

doi:10.1080/00087041.2015.1119469

Cited by 6 publications

(6 citation statements)

References 7 publications

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“…The data cube concept underpins the initial development of a future EnviDat webbased environmental geospatial information system (web-EGIS) module. The distinctiveness of a web-EGIS is applying geographic information systems (GIS) principles to large numbers of specialized environmental data and services, using a generic hypercube-based data organization and visualization [18]. In order to efficiently manage large time series we have conceptualized a new data hypercube-based data organization and visualization according to the following three inter-connected hypotheses:…”

Section: Concept For a New Data Hypercube Formatmentioning

confidence: 99%

Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series

et al. 2021

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The Environmental Data Portal EnviDat aims to fuse data publication repository functionalities with next-generation web-based environmental geospatial information systems (web-EGIS) and Earth Observation (EO) data cube functionalities. User requirements related to mapping and visualization represent a major challenge for current environmental data portals. The new Cloud Optimized Raster Encoding (CORE) format enables an efficient storage and management of gridded data by applying video encoding algorithms. Inspired by the cloud optimized GeoTIFF (COG) format, the design of CORE is based on the same principles that enable efficient workflows on the cloud, addressing web-EGIS visualization challenges for large environmental time series in geosciences. CORE is a web-native streamable format that can compactly contain raster imagery as a data hypercube. It enables simultaneous exchange, preservation, and fast visualization of time series raster data in environmental repositories. The CORE format specifications are open source and can be used by other platforms to manage and visualize large environmental time series.

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Section: Concept For a New Data Hypercube Formatmentioning

confidence: 99%

Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series

et al. 2021

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“…To best visualize the complexity and the diverseness of geodata in hydrogeology, we will use the concept of hypercube-base visualization model ( [6,7]). As presented in Fig.…”

Section: Specificity Of Hydrogeological Geodatamentioning

confidence: 99%

Current trends in the management of groundwater specific geospatial information

Ilie

Gogu

2019

E3S Web Conf.

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The purpose of this paper is to present the state-of-art of groundwater geospatial information management, highlighting the relevant data model characteristics and technical implementation of the European Directive 2007/2/EC, also known as the INSPIRE Directive. The maturity of the groundwater geodata management systems is of crucial importance for any kind of activity, be it a research project or an operational service of monitoring, protection or exploitation activities. An ineffective and inadequate geodata management system can significantly increase costs or even overthrow the entire activity ([1-3]). Furthermore, following the technological advancement and the extended scientific and operational interdisciplinary connectivity at national and international scale, the interoperability characteristics are becoming increasingly important in the development of groundwater geospatial information management. From paper recordings to digital spreadsheets, from relational database to standardized data models, the manner in which the groundwater data was gathered, stored, processed and visualized has changed significantly over time. Aside from the clear technical progress, the design that captures the natural connections and dependencies between each groundwater feature and phenomena have also evolved. The second part of our paper address the variations that occurred when outlining the different groundwater geospatial information management models, differences that depict the complexity of hydrogeological data.

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“…Already in 2008 (Dawes et al, 2008), WSL researchers at SLF initiated an integrated infrastructure for environmental data management: the Swiss Experiment (SwissEx) and its follow-up project the Open Support Platform for Environmental Research (OSPER) (Dawes et al, 2008(Dawes et al, , 2012. Both these activities focused on a multidisciplinary collaboration between environmental science and technology research projects across Switzerland for developing an integrated infrastructure for environmental data management, with a strong focus on sensor and GIS data (Dawes et al, 2012;Iosifescu Enescu et al, 2015;Jeung et al, 2010).…”

Section: The Envidat Institutional Data Portalmentioning

confidence: 99%

“…Therefore, the second use case in the context of a data portal is to use the Linked Data concept to describe the structure of the data sets. The Linked Data could contain a generic description of data sets analogue to the RDF Data Cube Vocabulary (W3C, 2018d) implementing a (hyper)cube of space, time and attributes as described in (Ott and Swiaczny, 2012) or (Iosifescu Enescu et al, 2015). In this way, the semantics and therefore the meaning helps increasing the value of a data set.…”

Section: Extending Data Discovery With Semantics (D3)mentioning

confidence: 99%

The EnviDat Concept for an Institutional Environmental Data Portal

Enescu

Plattner

Pernas

et al. 2018

Data Science Journal

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EnviDat is the environmental data portal developed by the Swiss Federal Institute for Forest, Snow and Landscape Research WSL. The strategic initiative EnviDat highlights the importance WSL lays on Research Data Management (RDM) at the institutional level and demonstrates the commitment to accessible research data in order to advance environmental science. EnviDat focuses on registering and publishing environmental data sets and provides unified and efficient access to the WSL's comprehensive reservoir of environmental monitoring and research data. Research data management is organized in a decentralized manner where the responsibility to curate research data remains with the experts and the original data providers. EnviDat supports data producers and data users in registration, documentation, storage, publication, search and retrieval of a wide range of heterogeneous data sets from the environmental domain. Innovative features include (i) a flexible, three-layer metadata schema, (ii) an additive data discovery model that considers spatial data and (iii) a DataCRediT mechanism designed for specifying data authorship. In addition, the overall user-friendly appearance in EnviDat provides an important opportunity for showcasing WSL research activities and results. The EnviDat portal builds on a conceptual system consisting of a core system, a set of guiding principles and a number of key services. Its development closely follows the conceptual framework, being guided by principles towards the ultimate goal of providing useful services for researchers.

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Hypercube-Based Visualization Architecture for Web-Based Environmental Geospatial Information Systems

Cited by 6 publications

References 7 publications

Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series

Cloud Optimized Raster Encoding (CORE): A Web-Native Streamable Format for Large Environmental Time Series

Current trends in the management of groundwater specific geospatial information

The EnviDat Concept for an Institutional Environmental Data Portal

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