CityGML Viewer

A web tool for GIS analysts and urban planners to load CityGML data, visualize 3D buildings, and inspect geometry and attributes without coding.

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About This Tool

The CityGML Viewer ingests CityGML data and provides structural analysis and visualization of 3D city models. It supports common CityGML Levels of Detail (LOD0–LOD4) and a range of geometries such as walls, roofs, and surfaces. The tool emphasizes data integrity, lineage, and attribute visibility, enabling researchers and practitioners to inspect geometry, topology, and semantic attributes without manual parsing.
Conceptually, the tool parses the GML into a streaming pipeline, builds a spatial index, and performs coordinate transformation to a common CRS. It generates a compact model summary (feature counts, extents, unique attributes) and supports filtering by bounding box or attribute criteria. Advanced users may configure CRS transformations, export subsets, or prepare data for downstream workflows.
Benefits include faster validation of large urban models, reproducible comparisons across datasets, and a lightweight workflow for urban planning, environmental studies, and architectural analysis. Unique value comes from combining CityGML-aware parsing with non-destructive summaries and streaming handling to scale to large city datasets.
Core features include CityGML compatibility, streaming parsing, LOD-aware geometry handling, spatial querying, basic attribute inspection, and export-ready summaries. Use cases include model validation, change detection between model versions, and data provisioning for GIS and BIM pipelines.

How to Use

  1. Provide inputs by supplying CityGML data as a file path or URL.
  2. Optional: set target CRS and bounding box to focus the analysis.
  3. Run the parsing/summary workflow (streaming mode ensures large datasets are processed efficiently).
  4. Review the dataset_summary, feature_count, and geometry_extent outputs.
  5. Export a subset or summary as JSON/CSV for downstream workflows.
How to use city gml viewer

Frequently Asked Questions

Find Quick Answers

What data formats are supported?
The tool supports CityGML v2.x and standard GML. It handles LOD0–LOD4 geometries and semantic attributes, using streaming parsing to accommodate large files without excessive memory usage.
How large a dataset can be processed?
Designed for city-scale models, it uses streaming parsing and chunked loading to minimize memory footprint. Practical limits depend on environment, but typical large datasets load with progressive summaries.
Can outputs be exported?
Yes. Users can export a dataset summary and selected features as JSON, CSV, or a CityGML subset for reuse in GIS or BIM pipelines.
Is coordinate transformation supported?
Yes. The tool supports CRS reconciliation and transformation to a target CRS (e.g., EPSG:3857 or EPSG:4326) using standard projection libraries.

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