APbase
APbase is an intelligent mapping pipeline for irregular field data, including yield monitor, soil samples, and sensor grids. It automates the map workflow: filtering source data, handling geographic coordinates when needed, building the target grid, comparing interpolation methods, and selecting a ready-to-use map without requiring users to choose a mathematical model by hand.
Full documentation: https://apbase.io
Install
pip install apbase
Development version:
pip install git+https://github.com/ap-base/apbase-python.git
Quick Use
import numpy as np
import apbase
from apbase import Map
apbase.config["n_threads"] = 4
x = np.ascontiguousarray(x_metric, dtype=np.float64)
y = np.ascontiguousarray(y_metric, dtype=np.float64)
z = np.ascontiguousarray(values, dtype=np.float64)
result = Map(resolution=10.0)(x, y, z)
result.method # "idw" or "kriging"
result.x, result.y, result.z # compact output points
X, Y, Z = result.to_raster() # dense raster, NaN outside the boundary
Functional shortcut:
result = apbase.create_map(x, y, z, resolution=10.0)
Main API
apbase.Map: automated map pipeline.apbase.create_map: one-shot map creation.apbase.config: runtime configuration, including OpenMP thread count.
Advanced modules are available under apbase.filtering, apbase.grid,
apbase.variogram, apbase.idw, apbase.kriging, apbase.cokriging, and
apbase.cross_validate.
Data Requirements
x,y, andzmust be one-dimensional arrays.- Projected metric coordinates, such as UTM, are used directly.
- Geographic lon/lat input is converted internally before distance operations;
distance settings such as
resolutionare meters. - For best performance, use contiguous
float64arrays.
Performance
- Native Fortran kernels exposed through F2PY/NumPy.
- OpenMP parallelism for critical numerical work.
- Local neighborhoods and neighbor limits instead of full distance matrices.
- Compact output by default; dense rasters are materialized only with
result.to_raster().
Set threads before creating maps:
import apbase
apbase.config["n_threads"] = 4
Links
- Documentation: https://apbase.io
- Source: https://github.com/ap-base/apbase-python
- Issues: https://github.com/ap-base/apbase-python/issues
License
Apache License 2.0. See LICENSE.
1 maintainer
Metadata
1 maintainer
Release files for apbase 0.1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
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|---|---|---|---|---|
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| apbase-0.1.2-cp314-cp314-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.14 | CPython 3.14 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| apbase-0.1.2-cp314-cp314-macosx_15_0_x86_64.whl | CPython 3.14 | CPython 3.14 | macOS 15.0+ x86-64 | Details |
| apbase-0.1.2-cp314-cp314-macosx_14_0_arm64.whl | CPython 3.14 | CPython 3.14 | macOS 14.0+ ARM64 | Details |
| apbase-0.1.2-cp313-cp313-win_amd64.whl | CPython 3.13 | CPython 3.13 | Windows x86-64 | Details |
| apbase-0.1.2-cp313-cp313-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.13 | CPython 3.13 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| apbase-0.1.2-cp313-cp313-macosx_15_0_x86_64.whl | CPython 3.13 | CPython 3.13 | macOS 15.0+ x86-64 | Details |
| apbase-0.1.2-cp313-cp313-macosx_14_0_arm64.whl | CPython 3.13 | CPython 3.13 | macOS 14.0+ ARM64 | Details |
| apbase-0.1.2-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| apbase-0.1.2-cp312-cp312-manylinux_2_27_x86_64.manylinux_2_28_x86_64.whl | CPython 3.12 | CPython 3.12 | Linux glibc 2.28+ x86-64, Linux glibc 2.27+ x86-64 | Details |
| apbase-0.1.2-cp312-cp312-macosx_15_0_x86_64.whl | CPython 3.12 | CPython 3.12 | macOS 15.0+ x86-64 | Details |
| apbase-0.1.2-cp312-cp312-macosx_14_0_arm64.whl | CPython 3.12 | CPython 3.12 | macOS 14.0+ ARM64 | Details |
Total release size: 153.4 MB
Release files / apbase-0.1.2-cp314-cp314-win_amd64.whl
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