Py3dtilers: An Open Source Toolkit for Creating and Managing 2d/3d Geospatial Data

Abstract

Abstract. In recent years, the production of 3D geospatial data using formats such as IFC, CityGML and GeoJSON, has increased. Visualizing this data on the web requires solving a variety of problems, such as the massive amount of 3D objects to be visualized at the same time and the creation of geometry suitable for a 3D viewer. Cesium and OGC introduced the 3D Tiles format in 2015 to solve these issues. They have created a specific format optimized for streaming and rendering 3D geospatial content, based on the glTF format developed by Khronos. The recency of the 3D Tiles format implies the need to experiment around this format and to test its interoperability with other geospatial and urban data formats. There is also the will to innovate on the organization of 3D objects in order to offer a better control on the visualization. Therefore, there is a need for an open source tool capable of converting 3D geospatial data into 3D Tiles to visualize them on the web, but also to test and develop new methods of spatial clustering and creating Levels of Detail (LoD) of urban objects. We propose Py3DTilers in this paper, an open source tool to convert and manipulate 3D Tiles from the most common 3D geospatial data models: CityGML, IFC, OBJ, and GeoJSON. With this tool, we ensure that the generated 3D Tiles respect the specification described by the OGC, in order to be used in various viewers. We provide a generic solution for spatially organizing objects and for creating LoDs, while allowing the community to customize these methods to go further in finding efficient solutions for visualizing geospatial objects on the web.

IMUV: A Digital Twin for Mediation to Discover and Exchange on Territories

“…Multisource visualization : Certain data are transformed to a common standard to facilitate multi-source visualization. For instance, 3D data is translated to 3D Tiles format using the Py3DTiler component (Marnat et al, 2022). This standardization process ensures compatibility and allows for the seamless integration of diverse data sources for visualization purposes.…”

A model-driven methodology for integrating heterogeneous 3D geospatial urban entities

“…Those standards were used by several works (Gaillard et al, 2015;Chen et al, 2018;Zhang et al;La Guardia et al) to integrate geometric data of one data model, either CityGML or IFC. Works like (Marnat et al, 2022) allow transforming the geometric data of heterogeneous data models to 3DTiles. The OGC also proposes a standardized API, called 3D GeoVolumes (Miller et al, 2020b, a), to navigate in several representations on the same entity.…”

“…More specifically, 3DTiles uses the GLTF format (Khronos, 2021) to store and share efficiently 2D and 3D geometry on the web. This transformation was handled by a tool named py3dtilers (Marnat et al, 2022).…”