2020
DOI: 10.3390/bdcc4040026
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Official Survey Data and Virtual Worlds—Designing an Integrative and Economical Open Source Production Pipeline for xR-Applications in Small and Medium-Sized Enterprises

Abstract: How can official survey data be prepared for virtual worlds? For small and medium-sized enterprises (SMEs), these steps can still be very time-consuming. This article is vital for these companies, since its aim is to create a practical open source solution for everyday work based on up-to-date research. Developing integrated Virtual Reality applications for geographic information systems VRGIS today, we are facing following problems: georeferenced data are currently available in many different data formats. Of… Show more

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Cited by 5 publications
(1 citation statement)
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“…This is carried out in order to provide a fundamental basis. As a result of the one-of-a-kind qualities of tourism resources, the theory and methods of VRGIS are one-of-a-kind when it comes to spatial cognition and the design of classification systems, as well as the standardization of databases, as well as spatial analysis and evaluation analysis [ 3 5 ]. It is now an accepted method and an integral part of the entire process of researching, developing, and making use of tourism resources that this practice has become a common place when carrying out research on tourism resources.…”
Section: Introductionmentioning
confidence: 99%
“…This is carried out in order to provide a fundamental basis. As a result of the one-of-a-kind qualities of tourism resources, the theory and methods of VRGIS are one-of-a-kind when it comes to spatial cognition and the design of classification systems, as well as the standardization of databases, as well as spatial analysis and evaluation analysis [ 3 5 ]. It is now an accepted method and an integral part of the entire process of researching, developing, and making use of tourism resources that this practice has become a common place when carrying out research on tourism resources.…”
Section: Introductionmentioning
confidence: 99%