This PR aims to provide the methods to aggregate/downsample, upsample, extend and reduce AreaDefinition and SwathDefinition objects. For SwathDefinition objects, it returns a new objects with the same inputs lats/lons type (numpy/dask/xr.DataArray).

[ ] Closes
- [ ] #407
- [ ] #28
[x] Tests added
[x] Tests passed
[ ] Passes git diff origin/main **/*py | flake8 --diff
[x] Fully documented

Yet to be done/defined:

[x] I added the method downsample method and added a deprecation warning to AreaDefinition.aggregate?
[x] Any reason to still use pyproj.transform instead of the more efficient pyproj.Transformer in SwathDefinition._do_transform?
[x] For SwathDefinition.extend, do we define which pyproj.Geod? pyproj.Geod(ellps='sphere') or pyproj.Geod(ellps='WGS84') ?
[ ] I tried to make SwathDefinition.upsample dask-compatible. But I need some help/guidance to finish out the work. See between L828-L850 and L870-L880 of geometry.py.
[ ] SwathDefinition.upsample could also use instead geotiepoints.GeoInterpolator but I am not sure I understood its possible correct usage for upsampling a swath grid. Additionally it seems not dask compatible. See below PR comment for a code attempt ...
[ ] Extend and reduce methods for GEO AreaDef are not implemented. They need ad-hoc code. Ideas?

PS: Is my first PR to a package, so please be patient and don't hesitate to provide a lot of feedback/reproaches :)

Jan 18 '22 12:01 ghiggi

There are 238 errors:

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Jan 18 '22 12:01 stickler-ci

pre-commit.ci autofix

Jan 18 '22 15:01 djhoese

Codecov Report

Merging #413 (2e5997c) into main (565966f) will increase coverage by 0.31%. The diff coverage is 99.83%.

:exclamation: Current head 2e5997c differs from pull request most recent head e80f44e. Consider uploading reports for the commit e80f44e to get more accurate results

@@            Coverage Diff             @@
##             main     #413      +/-   ##
==========================================
+ Coverage   93.86%   94.18%   +0.31%     
==========================================
  Files          65       65              
  Lines       11125    11706     +581     
==========================================
+ Hits        10443    11025     +582     
+ Misses        682      681       -1

Flag	Coverage Δ
unittests	`94.18% <99.83%> (+0.31%)`	:arrow_up:

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Impacted Files	Coverage Δ
pyresample/geometry.py	`89.44% <99.66%> (+2.43%)`	:arrow_up:
pyresample/test/test_geometry.py	`99.43% <100.00%> (+0.12%)`	:arrow_up:

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Jan 18 '22 15:01 codecov[bot]

Coverage increased (+0.3%) to 94.012% when pulling 2e5997c9d7a14111866c0f4c9eca71bc6ba92af6 on ghiggi:feature-upsample-downsample into 565966f210f6ae4c2d1d2ba32a557f4a13ec505f on pytroll:main.

Jan 18 '22 16:01 coveralls

This paragraph is to discuss the possibility of using geotiepoints.GeoInterpolator within SwathDefinition.upsample. I might have misunderstood the usage of the GeoInterpolator, but I can't retrieve the correct upsampled centroids:

import numpy as np 
from geotiepoints.geointerpolator import GeoInterpolator

# Data Example 1 
x = 2
y = 2
src_lons = np.array([[5,9],
                     [5,9],
                     [5,9],
                     [5,9]])
src_lats = np.array([[6,6],
                     [4,4],
                     [0,0],
                     [-2,-2]])

# Data Example 2
lons = np.arange(-179.5, 179.5 + 0.5, 0.5)
lats = np.arange(-89.5,  0.5,  0.5)
src_lons, src_lats = np.meshgrid(lons, lats)
x = 2
y = 2

#--------------------------------
# Workflow 
height = src_lons.shape[0]
width = src_lons.shape[1]
   
tie_cols = np.arange(0, width*2, 2) 
fine_cols = np.arange(-1 + 1/x, width*2-1, 1/x*2) 

fine_rows = np.arange(-1 + 1/y, height*2-1, 1/y*2) 
tie_rows = np.arange(0, height*2, 2) 
   
# Print ties 
print(fine_rows)
print(tie_rows)

print(fine_cols)
print(tie_cols)

#--------------------------------
interpolator = GeoInterpolator((src_lons, src_lats),
                               (tie_rows, tie_cols),
                               (fine_rows, fine_cols),
                               2, 2)
interpolator.fill_borders("y", "x")  
lons_up, lats_up = interpolator.interpolate()
print("With fill borders:")
print(np.round(lats_up[:,0],2))  # stop at lats 0.5  instead of -1.5 (ex1) and -8.78 instead of 0.5 (ex2)
     
interpolator = GeoInterpolator((src_lons, src_lats),
                               (tie_rows, tie_cols),
                               (fine_rows, fine_cols),
                               1, 1) # 2,2, does not work with ex1
lons_up, lats_up = interpolator.interpolate()
print("")
print("Without fill borders:")
print(np.round(lats_up[:,0],2))  # With ex2, not using fill_borders enable to reach at least lat 0, but  do not estimate the borders

Jan 18 '22 21:01 ghiggi

The code below documents an uncommon SwathDefinition edge case where swath_def.upsample(2,2).aggregate(2,2) does not return the same source swath_def (only close to the poles). It is an unrealistic swath, since everything along y direction points toward the pole ...

import numpy as np
from pyresample.geometry import SwathDefinition
np.set_printoptions(suppress=True)

lons = np.arange(-179.75, 179.75 + 0.5, 0.5)
lats = np.arange(-89.75,  0.5,  0.5)
lons, lats = np.meshgrid(lons, lats)
swath_def = SwathDefinition(lons=lons, lats=lats)

### Precision error (?) between upsampling and aggregating 
swath_def_rev = swath_def.upsample(y=2, x=2).aggregate(x=2, y=2) 
np.allclose(swath_def_rev.lons, swath_def.lons, atol=1e-01)
np.allclose(swath_def_rev.lats, swath_def.lats, atol=1e-03)
np.isclose(swath_def_rev.lons, swath_def.lons, atol=1e-08)
bool_arr = np.isclose(swath_def_rev.lons, swath_def.lons, atol=1e-08)
swath_def.lats[~bool_arr.any(axis=1),0]  # problematic latitudes 
np.sum(bool_arr)/np.size(bool_arr)*100

Jan 18 '22 21:01 ghiggi

Also, this review took me more than 2 hours, in the future please consider making more incremental changes in each PR :sweat_smile:

Jan 20 '22 10:01 mraspaud

I plan to do the changes tomorrow afternoon @djhoese @mraspaud . Should I resolve the conservation comments after having resolved your concerns?

Jan 25 '22 12:01 ghiggi

Better leave them open if it's not trivial, so we can have another look after it's fixed and approve.

Jan 25 '22 14:01 mraspaud

pyresample
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Add aggregate/downsample, upsample, extend and reduce methods to AreaDefinition and SwathDefinition

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pyresample pyresample copied to clipboard

Add aggregate/downsample, upsample, extend and reduce methods to AreaDefinition and SwathDefinition

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pyresample
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