NCZ2Geo

Pure-Python Netcad NCZ/NCA Reader with PlanGML Identity and e-Plan Symbology Metadata.

📖 Open Interactive Web Manual (GitLab Pages) • 📦 PyPI Package • 🐛 Issue Tracker

🌟 Overview

NCZ2Geo is a specialized Python SDK engineered specifically for Turkish urban planning workflows. It reads Netcad NCZ (compressed archive) and NCA (raw binary CAD stream) drawings, automatically resolves layer semantics against official PlanGML / MPYY (Mekânsal Planlar Yapım Yönetmeliği) schemas, and attaches official e-Plan symbology metadata to the emitted GeoJSON features.

Built entirely on the high-speed NCZ Engine v2 core, NCZ2Geo operates 100% headless with zero dependencies outside the Python standard library.

🔬 Core Capabilities

1. PlanGML & MPYY Standard Hierarchy Resolution:
   • Automatically maps arbitrary Netcad layer names (e.g. PL_GELISME_KONUT, PARK_ALANI, TICARET) into standard function codes, upper groups, and geometry types for:
     • UIP: Uygulama İmar Planı (1/1.000)
     • NIP: Nazım İmar Planı (1/5.000)
     • CDP: Çevre Düzeni Planı (1/25.000 · 1/50.000 · 1/100.000)
2. Official e-Plan Symbology Color & Hatching Injection:
   • Injects standardized hex colors (#RRGGBB), opacity values, stroke widths, dash styles, and hatching patterns (eplan_tarama) into every GeoJSON feature.
3. V2-Only Bounds-Checked Binary Block Scanner:
   • Employs a clamped binary Cursor and two-phase NczCatalog indexer to prevent out-of-bounds reads and ensure memory safety on corrupt or non-standard Netcad drawings.
4. Instant $\mathcal{O}(1)$ Fingerprinted Index Cache:
   • Reopening an unchanged drawing serves catalog queries in 0.1 ms with zero file I/O overhead.
5. Selective Layer Decoding & Memory Optimization:
   • Reads only specified layer IDs, skipping unneeded geometry byte streams to accelerate automated ingestion pipelines.

📦 Installation

pip install NCZ2Geo

🚀 Quickstart & Python API

1. Automatic Layer Classification

Classify layer names into official PlanGML function codes and e-Plan colors:

from ncz2geo import classify_layer

# Classify layer name under UIP (1/1.000) standard
classification = classify_layer("PL_GELISME_KONUT", plan_type="UIP")

print("PlanGML Function:", classification.identity.fonksiyon_adi)  # Gelişme Konut Alanı
print("PlanGML Code:", classification.identity.fonksiyon_kodu)     # 1102
print("e-Plan Fill Color:", classification.style.fill)              # #ffcc00
print("e-Plan Opacity:", classification.style.fill_opacity)         # 0.70

2. Parse Netcad NCZ & Export Styled GeoJSON

from ncz2geo import parse_netcad, write_geojson

# 1. Parse drawing using NCZ Engine v2
result = parse_netcad("imar_plani.ncz")
print(f"Decoded {len(result.entities)} entities across {len(result.layers)} layers.")

# 2. Export GeoJSON enriched with PlanGML and e-Plan attributes
write_geojson(result.entities, "imar_plani_styled.geojson", plan_type="UIP")

3. Selective Layer Extraction

from ncz2geo import parse_netcad, write_geojson

# Extract only residential and green space layers (e.g. Layers 1 and 4)
result = parse_netcad("imar_plani.ncz", target_layers=[1, 4])
write_geojson(result.entities, "konut_ve_parklar.geojson", plan_type="UIP")

💻 Command Line Interface (CLI)

# 1. Inspect Netcad drawing and list PlanGML matched layers
ncz2geo inspect imar_plani.ncz --plan-type UIP

# 2. Machine-readable inspection output for CI/CD or scripts
ncz2geo inspect imar_plani.ncz --plan-type UIP --json

# 3. Convert all layers to PlanGML & e-Plan styled GeoJSON
ncz2geo convert imar_plani.ncz imar_plani.geojson --plan-type UIP

# 4. Convert specific layer codes only
ncz2geo convert imar_plani.ncz konut_alanlari.geojson --layers 1,4,7 --plan-type UIP

📋 Emitted GeoJSON Schema Properties

Every exported GeoJSON feature includes standard Netcad CAD attributes plus enriched PlanGML / e-Plan metadata:

{
  "type": "Feature",
  "geometry": { "type": "Polygon", "coordinates": [...] },
  "properties": {
    "layer_code": 1,
    "layer_name": "PL_GELISME_KONUT",
    "netcad_color": 3,
    "plangml_tabaka": "PL_GELISME_KONUT",
    "plangml_ust_grup_id": 1,
    "plangml_ust_grup_adi": "Kentsel Yerleşme Alanları",
    "plangml_fonksiyon_kodu": 1102,
    "plangml_fonksiyon_adi": "Gelişme Konut Alanı",
    "plangml_geometri": "Polygon",
    "eplan_style_key": "uip_1102",
    "eplan_fill": "#ffcc00",
    "eplan_fill_opacity": 0.70,
    "eplan_stroke": "#333333",
    "eplan_line_color": "#ffaa00",
    "eplan_dash": "solid",
    "eplan_tarama": "none"
  }
}

⚡ Performance Benchmarks

🧪 Development & Testing

# Clone the repository
git clone https://gitlab.com/geospacephilo/NCZ2Geo.git
cd NCZ2Geo

# Install in editable mode with test dependencies
pip install -e ".[dev]"

# Run test suite
pytest tests/ -v --cov=ncz2geo

# Run linter and type checks
ruff check .
mypy src

📄 Academic Citation

If you use NCZ2Geo in urban planning studies, cadastral automation pipelines, or scientific research, please cite:

@software{eminoglu2026ncz2geo,
  author    = {Emino{\u{g}}lu, Yusuf},
  title     = {{NCZ2Geo: Pure-Python Netcad NCZ/NCA Reader with PlanGML Identity and e-Plan Symbology Metadata}},
  year      = {2026},
  publisher = {PyPI - Python Package Index},
  version   = {0.1.0},
  url       = {https://gitlab.com/geospacephilo/NCZ2Geo}
}

📜 License

Distributed under the GPL-2.0-or-later license.