Alaea
Installation
pip3 install Alaea
KML 转 Shapefile 是可选功能，需要 GDAL：
pip3 install 'Alaea[gdal]'
Release
Direct execution cleans old artifacts, builds the package, uploads it with Twine, and cleans the artifacts after a successful upload:
./run_twine.py
Use --repository NAME to select a configured Twine repository. A failed build
does not attempt upload; a failed upload retains the new archives for diagnosis
and retry.
Unified spatial interpolation
s2s, g2s, s2g, and g2g use the same argument order. s means
scattered points and g means a grid. Grid coordinates may be one-dimensional
longitude/latitude axes or matching two-dimensional coordinate arrays.
import numpy as np
from Alaea.exutils import g2s, s2g
lon = np.array([120.0, 121.0])
lat = np.array([30.0, 31.0])
value = np.array([[1.0, 2.0], [3.0, 4.0]])
point_value = g2s(lon, lat, value, 120.5, 30.5)
station_lon = np.array([120.0, 121.0, 120.0, 121.0])
station_lat = np.array([30.0, 30.0, 31.0, 31.0])
station_value = np.array([1.0, 2.0, 3.0, 4.0])
grid_value = s2g(station_lon, station_lat, station_value, lon, lat)
All four functions accept method="linear", method="nearest",
method="cubic", or method="idw". IDW also accepts neighbors (default 8)
and power (default 2). Data may have leading dimensions such as
(time, lat, lon) or (time, point); these dimensions are preserved in the
result.
Coastline filling
from Alaea.baysalt.erosion_coastline import erosion_cal_id, erosion_via_id
weight = erosion_cal_id(lon, lat, value, k=4, judge_num=1, method='np.nan')
filled = erosion_via_id(weight, value)
method may be np.nan, nc.mask, or txt.mask. The input used to calculate
weights must be two-dimensional; applying weights supports any data whose last
two dimensions are latitude and longitude.
Legacy file-generation helpers remain available from their explicit modules,
for example Alaea.exutils.Interp.Interp_g2s.Grid2Sca, but are no longer
re-exported from Alaea.exutils; new interpolation code should use the four
unified functions above.
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