GeoJSON — Foreign Members at Every Level
RFC 7946 section 6 allows members it does not define to sit alongside the ones it does, and requires parsers to ignore rather than reject them. This collection carries three such members at the top level.
{
"type": "FeatureCollection",
"features": [
{
"type": "Feature",
"id": "fm-1",
"properties": {
"name": "Kestrel Bay",
"kind": "town"
},
"geometry": {
"type": "Point",
"coordinates": [
-12.482,
47.064
]
}
}
],
"generator": "Novus Examples",
"generatedFor": "foreign-member handling",
"license": "free"
}
Specifications
- Format
- GeoJSON (RFC 7946)
- Crs
- WGS 84 (EPSG:4326)
- Coordinate Order
- longitude, latitude
- Encoding
- UTF-8
- Line Endings
- LF
- Features
- 1
- Foreign Members
- generator, generatedFor, license
- Spec Section
- RFC 7946 section 6.1
- Valid
- true
Testing contract
Expected to pass- Scenario
- Parse a FeatureCollection carrying members the specification does not define.
- Expected result
- The feature loads normally and the unknown top-level members are ignored or preserved — never treated as a parse error.
What is a .geojson file?
GeoJSON is a JSON-based format for encoding geographic data structures such as points, lines, and polygons, along with their properties. It uses WGS84 longitude-latitude coordinates and standard feature and feature-collection objects. It is a common interchange format for web mapping and GIS.
How to use this file
Use an example GeoJSON file to test geometry parsing, coordinate handling, and mapping libraries or GIS pipelines that render or analyze spatial features.
How to use this file for testing
“GeoJSON — Foreign Members at Every Level” is a deterministic Novus Examples fixture for Geospatial, JSON parsing, Metadata testing. GeoJSON, GPX, and KML files with points, lines, polygons, and tracks — for testing map tools, route parsers, and geo importers.
Documented properties for this file: UTF-8 · LF · GeoJSON (RFC 7946). Compare results against paired or grouped companions on this page when present (clean↔damaged, searchable↔scanned, or format twins) so scores stay reproducible across runs.
Download the file once, keep the path stable in CI or local scripts, and treat the spec table as the contract: dimensions, seeds, field lists, and roles are intentional. Corrupt or invalid samples are labelled as such — expect parsers to fail loudly rather than silently accept them.
Geospatial fixtures publish one invented territory across formats, with the coordinate reference system and feature counts documented in specs. Convert or reproject and diff against the twin in the same group; edge-case geometries state exactly which assumption they are built to break.
Code examples
import geopandas as gpd
gdf = gpd.read_file("foreign-members.geojson")
print(gdf.head())
print(gdf.crs)Related files
- geojsonGeoJSON — bbox on Every FeatureThree features that each carry their own bbox. Spatial indexes are often built from these declared boxes instead of the geometry, so a wrong or stale one produces a query that silently misses features.

- geojsonGeoJSON — bbox on the FeatureCollectionThe five towns with a four-element bounding box on the collection, ordered west, south, east, north as RFC 7946 requires. The values are the true extent of the contained points, so a reader that recomputes the box can be scored against the declared one.

- geojsonGeoJSON — Numeric Feature IdentifiersThe same five towns keyed by numeric ids. RFC 7946 allows an id to be either a string or a number, and code that assumes one type breaks on the other — usually by stringifying 1 into "1" and then failing to match on a later join.

- geojsonGeoJSON — String Feature IdentifiersFive features whose `id` is a string and sits on the Feature itself rather than inside `properties` — the placement RFC 7946 specifies and the one most CSV-shaped importers get wrong by flattening it into an attribute.

- topojsonTopoJSON — Geometry Ids Alongside PropertiesFive town geometries that each carry both an `id` member and a `properties` object. TopoJSON keeps these separate, and converters that fold the id into properties (or drop it) break joins against an external attribute table.

- geojsonGeoJSON — Deeply Nested and Mixed-Type PropertiesOne feature whose properties mix every JSON type and nest three levels deep. Formats with a flat attribute table — shapefile DBF, most SQL layers — cannot represent this, so the fixture shows whether a converter flattens, JSON-encodes, or discards the nested values.

Generated by generation/geospatial.py. Free for any use, no attribution required — license.