core-lens 0.1.dev100

Query, analyse, and visualise CoreStack's microwatershed and Earth science data through a clean, composable Python API.

CoreLens

A Python library for querying, analysing, and visualising geospatial Earth science data built on CoreStack.

CoreLens provides a unified interface over microwatersheds, administrative boundaries, and pluggable domain entities — with lazy Parquet I/O (powered by Polars), seasonal time-series support, and spatial statistical analysis.

Quickstart

pip install core-lens

from core_lens import AoI
from core_lens.entities import MWSEntity, TehsilEntity

# Register entities
AoI.register(MWSEntity)
AoI.register(TehsilEntity)

# Create an AoI scoped to a specific Tehsil
aoi = AoI(data_root="/path/to/data", tehsil="Pangi")

# Access entities scoped to this AoI
mws_view = aoi.mws

# Materialise and plot
static_result = mws_view.static
aoi.plot(overlay=static_result)

Documentation

Full documentation is available in the docs/ directory. It includes:

• Core Concepts: Understanding AoI, Views, and Results.
• Example Queries: Time filtering, aggregations, spatial joins, and statistics.
• Plugin System: How to add custom entities.

To build the docs locally:

cd docs
make html