CityJSON in QGIS: Development of an open‐source plugin

Vitalis, Stelios; Ohori, Ken Arroyo; Stoter, J.E.

doi:10.1111/tgis.12657

Cited by 27 publications

(17 citation statements)

References 10 publications

(16 reference statements)

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“…For future work, we plan to improve the performance of the viewer, increase its functionality (e.g. support new types of geometries that can be defined by an ADE), and support CityJSON, a JSON-based implementation of CityGML, which recently has started supporting extensions akin to CityGML ADEs (Ledoux et al, 2019) and is gaining software support (Vitalis et al, 2020).…”

Section: Discussionmentioning

confidence: 99%

Visualising Detailed Citygml and Ade at the Building Scale

Lim¹,

Janssen²,

Biljecki³

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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Abstract. There is an increasing activity in developing workflows and implementations to convert BIM data into CityGML. However, there are still not many platforms that are suitable to view and interact with the detailed information stored as a result of such conversions, especially if an Application Domain Extension (ADE) is involved to support additional information. We investigated the ease of use and features supported by visualisation software and tools with CityGML and ADE support, and propose an approach to develop a tool that combines useful features using a set of generic rules that can extract CityGML ADE attributes. The work, while generic, is geared towards detailed architectural datasets sourced from BIM. We implemented the approach in a web-based viewer supporting the visualisation of CityGML datasets enriched with ADE features.

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Section: Discussionmentioning

confidence: 99%

Visualising Detailed Citygml and Ade at the Building Scale

Lim¹,

Janssen²,

Biljecki³

2020

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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“…Furthermore, most of the programming languages are able to produce the required structures by combining two basic data structures, namely ordered lists and key-value pairs [19]. In addition to the development of the encoding format itself, various tools for producing CityJSON data have been developed and reported [20,21]. However, as the CityJSON is still a fairly new development, its use has not been extensively discussed in the literature yet, apart from few data integration applications [22].…”

Section: D City Model Encoding Format Cityjsonmentioning

confidence: 99%

Near Real-Time Semantic View Analysis of 3D City Models in Web Browser

Virtanen

Jaalama

Puustinen

et al. 2021

IJGI

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3D city models and their browser-based applications have become an increasingly applied tool in the cities. One of their applications is the analysis views and visibility, applicable to property valuation and evaluation of urban green infrastructure. We present a near real-time semantic view analysis relying on a 3D city model, implemented in a web browser. The analysis is tested in two alternative use cases: property valuation and evaluation of the urban green infrastructure. The results describe the elements visible from a given location, and can also be applied to object type specific analysis, such as green view index estimation, with the main benefit being the freedom of choosing the point-of-view obtained with the 3D model. Several promising development directions can be identified based on the current implementation and experiment results, including the integration of the semantic view analysis with virtual reality immersive visualization or 3D city model application development platforms.

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“…In order to support the importing of 3D city models in QGIS, Vitalis, Arroyo Ohori, & Stoter (2020) have developed the CityJSON Loader (https://plugins.qgis.org/plugins/CityJSON-loader/), a plugin that enables CityJSON files to be loaded in the application. CityJSON Loader is developed with the intention of making CityJSON (and, thus, 3D city models) more accessible to researchers and practitioners through general‐purpose GIS software (in this case, QGIS).…”

Section: Open Source Geospatial Software and Standardsmentioning

confidence: 99%

Highlighting recent trends in open source geospatial science and software

Mobasheri

Mitášová

Neteler

et al. 2020

Transactions in GIS

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Over the past decade, open source software has become widely accepted across governments, industries and academia. The geospatial domain is no exception and this trend is also reflected in geospatial research and practice. Nowadays, governments and stakeholders from the business sector both participate and promote open geospatial science including open geospatial data and open source geospatial software. As a result, open source geospatial science and software (i.e., open source GIS) is a growing area of research with numerous applications and great potential. The consistent prevalence of open source GIS studies motivated this thematic collection. The contributions are divided into two main categories. In the first, novel open source geospatial software and standards are presented, each of which has been implemented for and applied to a certain use case, and at the same time may be applied to other use cases due to the reproducibility of open source software. The second category presents and discusses the applicability and usability of open source GIS solutions for various interdisciplinary domains, mostly related to urban studies.

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CityJSON in QGIS: Development of an open‐source plugin

Abstract: This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Cited by 27 publications

References 10 publications

Visualising Detailed Citygml and Ade at the Building Scale

Visualising Detailed Citygml and Ade at the Building Scale

Near Real-Time Semantic View Analysis of 3D City Models in Web Browser

Highlighting recent trends in open source geospatial science and software

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