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Convert v2 Shapefile Expected GeoJSON

GeoJSON semantic target for the five-town shapefile set, preserving point order, CODE/NAME/POP/FOUNDED attributes, and longitude/latitude coordinates; the omitted .cpg is safe because every copied DBF value is ASCII. Stable P8 artifact p8-convert-shapefile-geojson.

Preview — first 50 linesgeojson
{
  "features": [
    {
      "geometry": {
        "coordinates": [
          -12.482,
          47.064
        ],
        "type": "Point"
      },
      "properties": {
        "CODE": "KB",
        "FOUNDED": 1786,
        "NAME": "Kestrel Bay",
        "POP": 4820
      },
      "type": "Feature"
    },
    {
      "geometry": {
        "coordinates": [
          -12.3915,
          47.112
        ],
        "type": "Point"
      },
      "properties": {
        "CODE": "MR",
        "FOUNDED": 1834,
        "NAME": "Marram",
        "POP": 1180
      },
      "type": "Feature"
    },
    {
      "geometry": {
        "coordinates": [
          -12.551,
          47.018
        ],
        "type": "Point"
      },
      "properties": {
        "CODE": "HW",
        "FOUNDED": 1801,
        "NAME": "Holloway",
        "POP": 2670
      },
      "type": "Feature"
    },
86 lines total — download for the full file.

Specifications

Features
5
Geometry Type
Point
Crs
WGS 84
Delivery Mode
download-only
Provider
converter-v2
Provenance
Synthetic deterministic P8 fixture generated by generation/p8_content.py; seed namespace 2026082300
Fixture Reserve
convert-v2

Testing contract

Reference control
Scenario
Convert the four shapefile companions to RFC 7946 GeoJSON and compare feature order and coordinates.
Expected result
Five Point features match KB, MR, HW, NP, and QC in source order; all four DBF fields and coordinates match in longitude/latitude order to six decimal places.

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

“Convert v2 Shapefile Expected GeoJSON” is a deterministic Novus Examples fixture for Conversion testing, Geospatial, JSON parsing. The same content exported across many formats and linked as a group, so you can convert one and diff against the expected twin.

Documented properties for this file: GEOJSON · 1,502 bytes. 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("kestrel-bay-towns-expected.geojson")
print(gdf.head())
print(gdf.crs)

Generated by generation/p8_content.py. Free for any use, no attribution required — license.