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GeoJSON: Deeply Nested and Mixed-Type Properties

One 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.

GeospatialJSON parsingSchema validation
Preview, first 48 linesgeojson
{
  "type": "FeatureCollection",
  "features": [
    {
      "type": "Feature",
      "id": "np-1",
      "properties": {
        "name": "Kestrel Bay",
        "population": 4820,
        "coastal": true,
        "vacant": null,
        "elevationM": 12.4,
        "tags": [
          "harbour",
          "ferry",
          "market"
        ],
        "census": {
          "2011": {
            "population": 4410,
            "households": 1832
          },
          "2021": {
            "population": 4820,
            "households": 2047
          }
        },
        "contact": {
          "office": {
            "phone": "+00 555 0100",
            "hours": [
              9,
              17
            ]
          }
        }
      },
      "geometry": {
        "type": "Point",
        "coordinates": [
          -12.482,
          47.064
        ]
      }
    }
  ]
}

Specifications

Format
GeoJSON (RFC 7946)
Crs
WGS 84 (EPSG:4326)
Coordinate Order
longitude, latitude
Encoding
UTF-8
Line Endings
LF
Features
1
Property Types
string, number, boolean, null, array, object
Max Nesting Depth
3
Valid
true

Testing contract

Expected to pass
Scenario
Convert the feature to a flat attribute table such as a shapefile DBF.
Expected result
Nested objects and arrays are either flattened with documented key paths or stored as JSON text, never silently dropped.

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: Deeply Nested and Mixed-Type Properties” is a deterministic Testaroo fixture for Geospatial, JSON parsing, Schema validation. 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("properties-nested.geojson")
print(gdf.head())
print(gdf.crs)

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

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