maptrix 0.2.4

MapTrix - A Python implementation of Geo library for map data processing and computation,

MapTrix

MapTrix is a Python implementation of geo utilities for map data processing and computation, including geospatial calculations, map data manipulation, and spatial analysis tools.

Features

• WGS84 to NDS coordinate conversion utilities.
• Morton (Z-order) encoding/decoding for 2D coordinates.
• NDS.Live packed tile ID helpers, neighbors, and tile metrics.
• Bounding box utilities for NDS coordinate space.
• Snapping/unsnapping helpers for point encoding.

Requirements

• Python 3.9+

Installation

From source:

pip install -e .

Quickstart

from maptrix.pos import Position
from maptrix.morton import MortonCode
from maptrix.tileid import PackedTileId
from maptrix.bounding_box import NdsBoundingBox

# WGS84 to NDS
wgs = Position(lon=77.5946, lat=12.9716)
nds_x, nds_y = wgs.to_nds_coordinates()

# Morton encoding
morton = MortonCode().from_nds(nds_x, nds_y)

# Tile ID at level 13
tile = PackedTileId.from_morton_and_level(MortonCode(morton), level=13)
print(tile.value, tile.level())

# Tile bounds as NDS bounding box
bbox = NdsBoundingBox.from_tile(tile)
print(bbox)

Snapping example:

from maptrix.libmath import Coord2PointXY, CoordinateMath

maths = CoordinateMath(coordinate_shift=3)
point = Coord2PointXY(long=77.5946, lat=12.9716)
ref = Coord2PointXY(long=77.5900, lat=12.9700)

snap = maths.snap(point, ref)
unsnap = maths.unsnap(snap, ref)

API Overview

• maptrix.pos.Position: WGS84 position utilities, normalization, distance, and bearings.
• maptrix.morton.MortonCode: Morton encoding/decoding for NDS coordinates.
• maptrix.tileid.PackedTileId: NDS.Classic / NDS.Live packed tile ID helpers and neighbors.
• maptrix.bounding_box.NdsBoundingBox: Bounding box creation and intersection checks.
• maptrix.libmath: Convenience helpers for snapping and coordinate conversion.

Project Structure

src/maptrix/
  __init__.py
  bounding_box.py
  libmath.py
  morton.py
  pos.py
  tileid.py

Testing

If you add tests, you can run them with:

python -m unittest 

License

See pyproject.toml.