This release is a pre-release and may not be stable for production use.
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
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