diff --git a/CHANGELOG.rst b/CHANGELOG.rst index ad1f8139..8dabad68 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -1,8 +1,8 @@ Changes - from version >= 1.x ============================= -2025-0 ------- +2025-10-11 +---------- **version 1.1.0** @@ -12,6 +12,7 @@ Changes - from version >= 1.x * [docs] updated missing DOI in Indicator Variogram * [enhancement] representative point in `Blocks` is sampled from the largest `Polygon` when `MultiPolygon` is passed * [enhancement] `Blocks` object might be altered during CRS transformation or new object might be created (`inplace` parameter and copying mechanism) +* [bug] incosistent documenation - `sill` represents *partial sill*, not *total sill*, and documentation might be misleading 2025-07-17 ---------- diff --git a/README.md b/README.md index a7061afa..657ec65a 100644 --- a/README.md +++ b/README.md @@ -2,7 +2,7 @@ # Pyinterpolate -**version 1.0.3** +**version 1.1.0** ![Logo](pyinterpolate-banner.png) diff --git a/docs/build/doctrees/api/core/core.doctree b/docs/build/doctrees/api/core/core.doctree index 1e3ba20f..0089fcee 100644 Binary files a/docs/build/doctrees/api/core/core.doctree and b/docs/build/doctrees/api/core/core.doctree differ diff --git a/docs/build/doctrees/api/semivariogram/indicator.doctree b/docs/build/doctrees/api/semivariogram/indicator.doctree index 87bf1e53..92908b9e 100644 Binary files a/docs/build/doctrees/api/semivariogram/indicator.doctree and b/docs/build/doctrees/api/semivariogram/indicator.doctree differ diff --git a/docs/build/doctrees/api/semivariogram/theoretical.doctree b/docs/build/doctrees/api/semivariogram/theoretical.doctree index fcd85233..2a3ecfa1 100644 Binary files a/docs/build/doctrees/api/semivariogram/theoretical.doctree and b/docs/build/doctrees/api/semivariogram/theoretical.doctree differ diff --git a/docs/build/doctrees/environment.pickle b/docs/build/doctrees/environment.pickle index 79bcab66..b1956989 100644 Binary files a/docs/build/doctrees/environment.pickle and b/docs/build/doctrees/environment.pickle differ diff --git a/docs/build/doctrees/usage/tutorials/functional/2-1-directional-semivariogram.doctree b/docs/build/doctrees/usage/tutorials/functional/2-1-directional-semivariogram.doctree index 80445774..595fc5ef 100644 Binary files a/docs/build/doctrees/usage/tutorials/functional/2-1-directional-semivariogram.doctree and b/docs/build/doctrees/usage/tutorials/functional/2-1-directional-semivariogram.doctree differ diff --git a/docs/build/html/_modules/pyinterpolate/core/data_models/blocks.html b/docs/build/html/_modules/pyinterpolate/core/data_models/blocks.html index 3a3aa37c..05bdcbb5 100644 --- a/docs/build/html/_modules/pyinterpolate/core/data_models/blocks.html +++ b/docs/build/html/_modules/pyinterpolate/core/data_models/blocks.html @@ -434,6 +434,7 @@

Source code for pyinterpolate.core.data_models.blocks

- Package doesn't read data files, data must be loaded into DataFrame and then passed into the Blocks object. """ +import copy from typing import Union, Hashable, Dict from numpy.typing import ArrayLike @@ -927,10 +928,9 @@

Source code for pyinterpolate.core.data_models.blocks

return df.loc[block_id, other_blocks]
- # TODO manage copying and inplace transformations
[docs] - def transform_crs(self, target_crs): + def transform_crs(self, target_crs, inplace=True): """Function transforms Blocks CRS Parameters @@ -940,23 +940,46 @@

Source code for pyinterpolate.core.data_models.blocks

:meth:`pyproj.CRS.from_user_input() <pyproj.crs.CRS.from_user_input>`, such as an authority string (eg "EPSG:4326") or a WKT string. + + inplace : bool, default = True + When set to `True` then transform object's instance on the fly, + otherwise return modified object and do leave the old instance + unchanged. """ # Transform core dataset - self.ds.to_crs(target_crs, inplace=True) + if inplace: + self.ds.to_crs(target_crs, inplace=True) - # representative points - self._get_representative_points() - self._points_to_floats() + # representative points + self._get_representative_points() + self._points_to_floats() - # distances - self.distances = self.calculate_distances_between_rep_points( - update=False - ) + # distances + self.distances = self.calculate_distances_between_rep_points( + update=False + ) + + # angles + self.angles = self.calculate_angles_between_rep_points( + update=False + ) + return None + else: + new_object = copy.deepcopy(self) + + new_object.ds.to_crs(target_crs, inplace=True) + new_object._get_representative_points() + new_object._points_to_floats() + + new_object.distances = new_object.calculate_distances_between_rep_points( + update=False + ) + + new_object.angles = new_object.calculate_angles_between_rep_points( + update=False + ) - # angles - self.angles = self.calculate_angles_between_rep_points( - update=False - )
+ return new_object
def _delete(self, block_index: Union[str, Hashable]): diff --git a/docs/build/html/_modules/pyinterpolate/kriging/point/ordinary.html b/docs/build/html/_modules/pyinterpolate/kriging/point/ordinary.html index 0ec8f293..0e76a61f 100644 --- a/docs/build/html/_modules/pyinterpolate/kriging/point/ordinary.html +++ b/docs/build/html/_modules/pyinterpolate/kriging/point/ordinary.html @@ -7,7 +7,7 @@ - pyinterpolate.kriging.point.ordinary — pyinterpolate 1.0.2 documentation + pyinterpolate.kriging.point.ordinary — pyinterpolate 1.1.0 documentation @@ -38,7 +38,7 @@ - + @@ -111,7 +111,7 @@ -

pyinterpolate 1.0.2 documentation

+

pyinterpolate 1.1.0 documentation

@@ -665,7 +665,7 @@

Source code for pyinterpolate.kriging.point.ordinary

Parameters ---------- theoretical_model : TheoreticalVariogram - A trained theoretical variogram model. + Fitted theoretical variogram model. known_locations : numpy array The known locations: ``[x, y, value]``. @@ -674,7 +674,9 @@

Source code for pyinterpolate.kriging.point.ordinary

Point where you want to estimate value ``(x, y) <-> (lon, lat)``. sill : float - The sill (``c(0)``) of a dataset. + Partial sill, or sill when nugget is set to zero. Total sill is a sum + of partial sill and nugget. If given, then partial sill is fixed to + this value. neighbors_range : float, default=None The maximum distance where we search for neighbors. If ``None`` is diff --git a/docs/build/html/_modules/pyinterpolate/semivariogram/indicator/indicator.html b/docs/build/html/_modules/pyinterpolate/semivariogram/indicator/indicator.html index bcd1709e..d9cf7e18 100644 --- a/docs/build/html/_modules/pyinterpolate/semivariogram/indicator/indicator.html +++ b/docs/build/html/_modules/pyinterpolate/semivariogram/indicator/indicator.html @@ -810,7 +810,9 @@

Source code for pyinterpolate.semivariogram.indicator.indicator

``min_range`` and ``max_range``. sill : float, default = None - If given, then sill is fixed to this value. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. n_sill_values : int, default = 5 The last n experimental semivariance records for sill estimation. @@ -819,17 +821,13 @@

Source code for pyinterpolate.semivariogram.indicator.indicator

sill_from_variance : bool, default = False Estimate sill from the variance (semivariance at distance 0). - min_sill : float, default = 1 - The minimal fraction of the value chosen with the sill estimation - method. The value is: for ``sill_from_values`` - the mean of - the last ``n_sill_values`` number of experimental semivariances, - for ``sill_from_variance`` - the experimental variogram variance. - - max_sill : float, default = 5 - The maximum fraction of the value chosen with the sill estimation - method. The value is: for ``sill_from_values`` - the mean of - the last ``n_sill_values`` number of experimental semivariances, - for ``sill_from_variance`` - the experimental variogram variance. + min_sill : float, default = 0.5 + The minimal fraction of the variogram variance at lag 0 to + find partial sill, ``0 <= min_sill <= max_sill``. + + max_sill : float, default = 2 + The maximum fraction of the variogram variance at lag 0 to find + partial sill. number_of_sills : int, default = 16 How many equally spaced sill values are tested between diff --git a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/classes/theoretical_variogram.html b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/classes/theoretical_variogram.html index f42b5626..953b158f 100644 --- a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/classes/theoretical_variogram.html +++ b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/classes/theoretical_variogram.html @@ -7,7 +7,7 @@ - pyinterpolate.semivariogram.theoretical.classes.theoretical_variogram — pyinterpolate 1.0.2 documentation + pyinterpolate.semivariogram.theoretical.classes.theoretical_variogram — pyinterpolate 1.1.0 documentation @@ -38,7 +38,7 @@ - + @@ -111,7 +111,7 @@ -

pyinterpolate 1.0.2 documentation

+

pyinterpolate 1.1.0 documentation

@@ -478,8 +478,9 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ The nugget parameter (bias at the zero distance). sill : float, default=0 - A value at which dissimilarity is close to its maximum if model is - bounded. Otherwise, it is usually close to the observations variance. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. rang : float, default=0 The semivariogram range is a distance at which spatial correlation @@ -649,8 +650,9 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ - 'spherical'. sill : float, default=0 - A value at which dissimilarity is close to its maximum if model is - bounded. Otherwise, it is usually close to observations variance. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. rang : float, default=0 The semivariogram range is a distance at which spatial correlation @@ -788,7 +790,9 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ ``min_range`` and ``max_range``. sill : float, default = None - If given, then sill is fixed to this value. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. n_sill_values : int, default = 5 The last n experimental semivariance records for sill estimation. @@ -797,13 +801,13 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ sill_from_variance : bool, default = False Estimate sill from the variance (semivariance at distance 0). - min_sill : float, default = 1 + min_sill : float, default = 0.5 The minimal fraction of the value chosen with the sill estimation method. The value is: for ``sill_from_values`` - the mean of the last ``n_sill_values`` number of experimental semivariances, for ``sill_from_variance`` - the experimental variogram variance. - max_sill : float, default = 5 + max_sill : float, default = 2 The maximum fraction of the value chosen with the sill estimation method. The value is: for ``sill_from_values`` - the mean of the last ``n_sill_values`` number of experimental semivariances, @@ -1370,6 +1374,9 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ nugget : float sill : float + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. rang : float @@ -1468,7 +1475,9 @@

Source code for pyinterpolate.semivariogram.theoretical.classes.theoretical_ Parameters ---------- sill : float, optional - Baseline sill. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. n_sill_values : int, default=5 Number of the last N experimental semivariances to use for sill diff --git a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/spatial_dependency_index.html b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/spatial_dependency_index.html index d14243ce..8b3e1e37 100644 --- a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/spatial_dependency_index.html +++ b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/spatial_dependency_index.html @@ -7,7 +7,7 @@ - pyinterpolate.semivariogram.theoretical.spatial_dependency_index — pyinterpolate 1.0.0 documentation + pyinterpolate.semivariogram.theoretical.spatial_dependency_index — pyinterpolate 1.1.0 documentation @@ -38,7 +38,7 @@ - + @@ -111,7 +111,7 @@ -

pyinterpolate 1.0.0 documentation

+

pyinterpolate 1.1.0 documentation

@@ -437,7 +437,8 @@

Source code for pyinterpolate.semivariogram.theoretical.spatial_dependency_i Semivariogram nugget. sill : float - Semivariogram sill. + Partial sill, difference between total sill and nugget. If given, + then partial sill is fixed to this value. Returns ------- @@ -461,7 +462,9 @@

Source code for pyinterpolate.semivariogram.theoretical.spatial_dependency_i raise ValueError('Nugget cannot be set to 0 to ' 'calculate spatial dependence index') - ratio = (nugget / sill) * 100 + total_sill = sill + nugget + + ratio = (nugget / total_sill) * 100 if ratio < 25: spatial_dependency = 'strong' diff --git a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/theoretical.html b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/theoretical.html index f96533bb..86cb566c 100644 --- a/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/theoretical.html +++ b/docs/build/html/_modules/pyinterpolate/semivariogram/theoretical/theoretical.html @@ -7,7 +7,7 @@ - pyinterpolate.semivariogram.theoretical.theoretical — pyinterpolate 1.0.0 documentation + pyinterpolate.semivariogram.theoretical.theoretical — pyinterpolate 1.1.0 documentation @@ -38,7 +38,7 @@ - + @@ -111,7 +111,7 @@ -

pyinterpolate 1.0.0 documentation

+

pyinterpolate 1.1.0 documentation

@@ -505,15 +505,17 @@

Source code for pyinterpolate.semivariogram.theoretical.theoretical

``min_range`` and ``max_range``. sill : float, default = None - If given, then sill is fixed to this value. + Partial sill, or sill when nugget is set to zero. Total sill is + a sum of partial sill and nugget. If given, then partial sill + is fixed to this value. min_sill : float, default = 0 The minimal fraction of the variogram variance at lag 0 to - find a sill, ``0 <= min_sill <= max_sill``. + find partial sill, ``0 <= min_sill <= max_sill``. max_sill : float, default = 1 The maximum fraction of the variogram variance at lag 0 to find - a sill. It *should be* lower or equal to 1. + partial sill. It *should be* lower or equal to 1. It is possible to set it above 1, but then warning is printed. number_of_sills : int, default = 16 diff --git a/docs/build/html/api/core/core.html b/docs/build/html/api/core/core.html index ec8658c5..4245bf09 100644 --- a/docs/build/html/api/core/core.html +++ b/docs/build/html/api/core/core.html @@ -807,7 +807,7 @@

Blocks#
-transform_crs(target_crs)[source]
+transform_crs(target_crs, inplace=True)[source]

Function transforms Blocks CRS

Parameters:
@@ -816,6 +816,10 @@

Blocks#pyproj.CRS.from_user_input(), such as an authority string (eg “EPSG:4326”) or a WKT string.

+
inplacebool, default = True

When set to True then transform object’s instance on the fly, +otherwise return modified object and do leave the old instance +unchanged.

+
diff --git a/docs/build/html/api/semivariogram/indicator.html b/docs/build/html/api/semivariogram/indicator.html index d098fb33..6bbff0bd 100644 --- a/docs/build/html/api/semivariogram/indicator.html +++ b/docs/build/html/api/semivariogram/indicator.html @@ -627,22 +627,20 @@

Indicator Semivariogramnumber_of_rangesint, default = 16

How many bins are tested between min_range and max_range.

-
sillfloat, default = None

If given, then sill is fixed to this value.

+
sillfloat, default = None

Partial sill, or sill when nugget is set to zero. Total sill is +a sum of partial sill and nugget. If given, then partial sill +is fixed to this value.

n_sill_valuesint, default = 5

The last n experimental semivariance records for sill estimation. (Used only when sill_from_variance is set to False).

sill_from_variancebool, default = False

Estimate sill from the variance (semivariance at distance 0).

-
min_sillfloat, default = 1

The minimal fraction of the value chosen with the sill estimation -method. The value is: for sill_from_values - the mean of -the last n_sill_values number of experimental semivariances, -for sill_from_variance - the experimental variogram variance.

+
min_sillfloat, default = 0.5

The minimal fraction of the variogram variance at lag 0 to +find partial sill, 0 <= min_sill <= max_sill.

-
max_sillfloat, default = 5

The maximum fraction of the value chosen with the sill estimation -method. The value is: for sill_from_values - the mean of -the last n_sill_values number of experimental semivariances, -for sill_from_variance - the experimental variogram variance.

+
max_sillfloat, default = 2

The maximum fraction of the variogram variance at lag 0 to find +partial sill.

number_of_sillsint, default = 16

How many equally spaced sill values are tested between min_sill and max_sill.

diff --git a/docs/build/html/api/semivariogram/theoretical.html b/docs/build/html/api/semivariogram/theoretical.html index 422701f8..033e6d9d 100644 --- a/docs/build/html/api/semivariogram/theoretical.html +++ b/docs/build/html/api/semivariogram/theoretical.html @@ -479,8 +479,9 @@

Theoretical Semivariogramfloat, default=0

The nugget parameter (bias at the zero distance).

-
sillfloat, default=0

A value at which dissimilarity is close to its maximum if model is -bounded. Otherwise, it is usually close to the observations variance.

+
sillfloat, default=0

Partial sill, or sill when nugget is set to zero. Total sill is +a sum of partial sill and nugget. If given, then partial sill +is fixed to this value.

rangfloat, default=0

The semivariogram range is a distance at which spatial correlation might be observed. It shouldn’t be set at a distance larger than @@ -617,19 +618,21 @@

Theoretical Semivariogramint, default = 16

How many equally spaced ranges are tested between min_range and max_range.

-
sillfloat, default = None

If given, then sill is fixed to this value.

+
sillfloat, default = None

Partial sill, or sill when nugget is set to zero. Total sill is +a sum of partial sill and nugget. If given, then partial sill +is fixed to this value.

n_sill_valuesint, default = 5

The last n experimental semivariance records for sill estimation. (Used only when sill_from_variance is set to False).

sill_from_variancebool, default = False

Estimate sill from the variance (semivariance at distance 0).

-
min_sillfloat, default = 1

The minimal fraction of the value chosen with the sill estimation +

min_sillfloat, default = 0.5

The minimal fraction of the value chosen with the sill estimation method. The value is: for sill_from_values - the mean of the last n_sill_values number of experimental semivariances, for sill_from_variance - the experimental variogram variance.

-
max_sillfloat, default = 5

The maximum fraction of the value chosen with the sill estimation +

max_sillfloat, default = 2

The maximum fraction of the value chosen with the sill estimation method. The value is: for sill_from_values - the mean of the last n_sill_values number of experimental semivariances, for sill_from_variance - the experimental variogram variance.

@@ -745,8 +748,9 @@

Theoretical Semivariogramfloat, default=0

A value at which dissimilarity is close to its maximum if model is -bounded. Otherwise, it is usually close to observations variance.

+
sillfloat, default=0

Partial sill, or sill when nugget is set to zero. Total sill is +a sum of partial sill and nugget. If given, then partial sill +is fixed to this value.

rangfloat, default=0

The semivariogram range is a distance at which spatial correlation exists. It shouldn’t be set at a distance larger than a half @@ -940,13 +944,15 @@

Theoretical Semivariogramint, default = 16

How many equally spaced ranges are tested between min_range and max_range.

-
sillfloat, default = None

If given, then sill is fixed to this value.

+
sillfloat, default = None

Partial sill, or sill when nugget is set to zero. Total sill is +a sum of partial sill and nugget. If given, then partial sill +is fixed to this value.

min_sillfloat, default = 0

The minimal fraction of the variogram variance at lag 0 to -find a sill, 0 <= min_sill <= max_sill.

+find partial sill, 0 <= min_sill <= max_sill.

max_sillfloat, default = 1

The maximum fraction of the variogram variance at lag 0 to find -a sill. It should be lower or equal to 1. +partial sill. It should be lower or equal to 1. It is possible to set it above 1, but then warning is printed.

number_of_sillsint, default = 16

How many equally spaced sill values are tested between @@ -993,7 +999,8 @@

Theoretical Semivariogram
nuggetfloat

Semivariogram nugget.

-
sillfloat

Semivariogram sill.

+
sillfloat

Partial sill, difference between total sill and nugget. If given, +then partial sill is fixed to this value.

diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js index b5492d4f..e179fe19 100644 --- a/docs/build/html/searchindex.js +++ b/docs/build/html/searchindex.js @@ -1 +1 @@ -Search.setIndex({"alltitles": {"1. Create Variogram Point Cloud": [[35, "1.-Create-Variogram-Point-Cloud"]], "1. Directional process": [[34, "1.-Directional-process"]], "1. Introduction - IDW as bechmarking tool": [[37, "1.-Introduction---IDW-as-bechmarking-tool"]], "1. Prepare data": [[38, "1.-Prepare-data"], [40, "1.-Prepare-data"], [41, "1.-Prepare-data"], [42, "1.-Prepare-data"], [43, "1.-Prepare-data"], [44, "1.-Prepare-data"]], "1. Set semivariogram model (fit)": [[36, "1.-Set-semivariogram-model-(fit)"]], "2. Analyze Variogram Point Cloud": [[35, "2.-Analyze-Variogram-Point-Cloud"]], "2. Analyze data distribution and remove potential outliers": [[38, "2.-Analyze-data-distribution-and-remove-potential-outliers"]], "2. Create Ordinary and Simple Kriging models": [[36, "2.-Create-Ordinary-and-Simple-Kriging-models"]], "2. Create directional and isotropic semivariograms": [[34, "2.-Create-directional-and-isotropic-semivariograms"]], "2. Create directional semivariograms": [[39, "2.-Create-directional-semivariograms"]], "2. Detect and remove outliers": [[40, "2.-Detect-and-remove-outliers"]], "2. Load regularized semivariogram model": [[42, "2.-Load-regularized-semivariogram-model"], [43, "2.-Load-regularized-semivariogram-model"], [44, "2.-Load-regularized-semivariogram-model"]], "2. Perform IDW and validate outputs": [[37, "2.-Perform-IDW-and-validate-outputs"]], "2. Set semivariogram parameters": [[41, "2.-Set-semivariogram-parameters"]], "2. Why do we use Spatial Dependency Index?": [[33, "2.-Why-do-we-use-Spatial-Dependency-Index?"]], "3. Compare semivariograms": [[34, "3.-Compare-semivariograms"]], "3. Create Variogram Clouds": [[38, "3.-Create-Variogram-Clouds"]], "3. Detect and remove outliers": [[35, "3.-Detect-and-remove-outliers"]], "3. Example: Spatial Dependence over the same study extent but for different elements": [[33, "3.-Example:-Spatial-Dependence-over-the-same-study-extent-but-for-different-elements"]], "3. Fit semivariogram model": [[40, "3.-Fit-semivariogram-model"]], "3. Interpolate with directional Kriging": [[39, "3.-Interpolate-with-directional-Kriging"]], "3. Perform Kriging and validate outputs": [[37, "3.-Perform-Kriging-and-validate-outputs"]], "3. Predict values at unknown locations and evaluate output": [[36, "3.-Predict-values-at-unknown-locations-and-evaluate-output"]], "3. Prepare data for Poisson Kriging": [[42, "3.-Prepare-data-for-Poisson-Kriging"], [43, "3.-Prepare-data-for-Poisson-Kriging"]], "3. Regularize semivariogram": [[41, "3.-Regularize-semivariogram"]], "3. Smooth blocks": [[44, "3.-Smooth-blocks"]], "4. API": [[33, "4.-API"]], "4. Compare models": [[39, "4.-Compare-models"]], "4. Compare triangular vs elliptical neighbors selection methods": [[34, "4.-Compare-triangular-vs-elliptical-neighbors-selection-methods"]], "4. Experimental variogram from the point cloud": [[35, "4.-Experimental-variogram-from-the-point-cloud"]], "4. Export results": [[44, "4.-Export-results"]], "4. Filtering areas": [[42, "4.-Filtering-areas"], [43, "4.-Filtering-areas"]], "4. Prepare canvas": [[40, "4.-Prepare-canvas"]], "4. Remove outliers from the point cloud": [[38, "4.-Remove-outliers-from-the-point-cloud"]], "4. Visualize process": [[41, "4.-Visualize-process"]], "5. Evaluate": [[42, "5.-Evaluate"], [43, "5.-Evaluate"]], "5. Export semivariogram": [[41, "5.-Export-semivariogram"]], "5. Interpolate": [[40, "5.-Interpolate"]], "5. Is variogram point cloud a scatter plot?": [[35, "5.-Is-variogram-point-cloud-a-scatter-plot?"]], "5. 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Create Variogram Point Cloud": [[35, "1.-Create-Variogram-Point-Cloud"]], "1. Directional process": [[34, "1.-Directional-process"]], "1. Introduction - IDW as bechmarking tool": [[37, "1.-Introduction---IDW-as-bechmarking-tool"]], "1. Prepare data": [[38, "1.-Prepare-data"], [40, "1.-Prepare-data"], [41, "1.-Prepare-data"], [42, "1.-Prepare-data"], [43, "1.-Prepare-data"], [44, "1.-Prepare-data"]], "1. Set semivariogram model (fit)": [[36, "1.-Set-semivariogram-model-(fit)"]], "2. Analyze Variogram Point Cloud": [[35, "2.-Analyze-Variogram-Point-Cloud"]], "2. Analyze data distribution and remove potential outliers": [[38, "2.-Analyze-data-distribution-and-remove-potential-outliers"]], "2. Create Ordinary and Simple Kriging models": [[36, "2.-Create-Ordinary-and-Simple-Kriging-models"]], "2. Create directional and isotropic semivariograms": [[34, "2.-Create-directional-and-isotropic-semivariograms"]], "2. Create directional semivariograms": [[39, "2.-Create-directional-semivariograms"]], "2. Detect and remove outliers": [[40, "2.-Detect-and-remove-outliers"]], "2. Load regularized semivariogram model": [[42, "2.-Load-regularized-semivariogram-model"], [43, "2.-Load-regularized-semivariogram-model"], [44, "2.-Load-regularized-semivariogram-model"]], "2. Perform IDW and validate outputs": [[37, "2.-Perform-IDW-and-validate-outputs"]], "2. Set semivariogram parameters": [[41, "2.-Set-semivariogram-parameters"]], "2. Why do we use Spatial Dependency Index?": [[33, "2.-Why-do-we-use-Spatial-Dependency-Index?"]], "3. Compare semivariograms": [[34, "3.-Compare-semivariograms"]], "3. Create Variogram Clouds": [[38, "3.-Create-Variogram-Clouds"]], "3. Detect and remove outliers": [[35, "3.-Detect-and-remove-outliers"]], "3. Example: Spatial Dependence over the same study extent but for different elements": [[33, "3.-Example:-Spatial-Dependence-over-the-same-study-extent-but-for-different-elements"]], "3. Fit semivariogram model": [[40, "3.-Fit-semivariogram-model"]], "3. Interpolate with directional Kriging": [[39, "3.-Interpolate-with-directional-Kriging"]], "3. Perform Kriging and validate outputs": [[37, "3.-Perform-Kriging-and-validate-outputs"]], "3. Predict values at unknown locations and evaluate output": [[36, "3.-Predict-values-at-unknown-locations-and-evaluate-output"]], "3. Prepare data for Poisson Kriging": [[42, "3.-Prepare-data-for-Poisson-Kriging"], [43, "3.-Prepare-data-for-Poisson-Kriging"]], "3. Regularize semivariogram": [[41, "3.-Regularize-semivariogram"]], "3. Smooth blocks": [[44, "3.-Smooth-blocks"]], "4. API": [[33, "4.-API"]], "4. Compare models": [[39, "4.-Compare-models"]], "4. Compare triangular vs elliptical neighbors selection methods": [[34, "4.-Compare-triangular-vs-elliptical-neighbors-selection-methods"]], "4. Experimental variogram from the point cloud": [[35, "4.-Experimental-variogram-from-the-point-cloud"]], "4. Export results": [[44, "4.-Export-results"]], "4. Filtering areas": [[42, "4.-Filtering-areas"], [43, "4.-Filtering-areas"]], "4. Prepare canvas": [[40, "4.-Prepare-canvas"]], "4. Remove outliers from the point cloud": [[38, "4.-Remove-outliers-from-the-point-cloud"]], "4. Visualize process": [[41, "4.-Visualize-process"]], "5. Evaluate": [[42, "5.-Evaluate"], [43, "5.-Evaluate"]], "5. Export semivariogram": [[41, "5.-Export-semivariogram"]], "5. Interpolate": [[40, "5.-Interpolate"]], "5. Is variogram point cloud a scatter plot?": [[35, "5.-Is-variogram-point-cloud-a-scatter-plot?"]], "5. 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36, "variogram": [9, 10, 31, 32, 34, 35, 38], "version": [1, 22, 24], "violin": 35, "visual": [13, 41], "we": 33, "weight": 6, "west": 34, "what": 33, "why": 33, "work": 27, "workshop": 28, "x": 1}}) \ No newline at end of file diff --git a/docs/source/index.rst b/docs/source/index.rst index d4ab7fc1..ea10eb2a 100644 --- a/docs/source/index.rst +++ b/docs/source/index.rst @@ -14,7 +14,7 @@ Pyinterpolate ----------------- .. note:: - The last documentation update: *2025-09-19* + The last documentation update: *2025-10-11* Important notice ................ diff --git a/docs/source/usage/tutorials/functional/1-1-semivariogram-exploration.ipynb b/docs/source/usage/tutorials/functional/1-1-semivariogram-exploration.ipynb index 271e08e2..d57bdb2d 100644 --- a/docs/source/usage/tutorials/functional/1-1-semivariogram-exploration.ipynb +++ b/docs/source/usage/tutorials/functional/1-1-semivariogram-exploration.ipynb @@ -76,15 +76,13 @@ }, { "cell_type": "code", - "execution_count": null, "id": "initial_id", "metadata": { "ExecuteTime": { - "end_time": "2025-02-15T14:41:51.533864Z", - "start_time": "2025-02-15T14:41:51.455694Z" + "end_time": "2025-09-16T08:49:33.687651Z", + "start_time": "2025-09-16T08:49:28.725226Z" } }, - "outputs": [], "source": [ "import geopandas as gpd\n", "import numpy as np\n", @@ -93,7 +91,9 @@ "import matplotlib.pyplot as plt\n", "\n", "from pyinterpolate import reproject_flat, ExperimentalVariogram, build_theoretical_variogram, TheoreticalVariogram" - ] + ], + "outputs": [], + "execution_count": 1 }, { "cell_type": "markdown", @@ -110,40 +110,51 @@ }, { "cell_type": "code", - "execution_count": 2, "id": "ac39949d6265b27f", "metadata": { - "ExecuteTime": { - "end_time": "2025-02-15T14:01:27.154118Z", - "start_time": "2025-02-15T14:01:27.146837Z" - }, "collapsed": false, "jupyter": { "outputs_hidden": false + }, + "ExecuteTime": { + "end_time": "2025-09-16T08:49:33.816215Z", + "start_time": "2025-09-16T08:49:33.813372Z" } }, - "outputs": [], "source": [ "DEM_FILE = '../data/dem.csv'" - ] + ], + "outputs": [], + "execution_count": 2 }, { "cell_type": "code", - "execution_count": 3, "id": "c731e3a33a69296", "metadata": { - "ExecuteTime": { - "end_time": "2025-02-15T14:01:27.254176Z", - "start_time": "2025-02-15T14:01:27.151404Z" - }, "collapsed": false, "jupyter": { "outputs_hidden": false + }, + "ExecuteTime": { + "end_time": "2025-09-16T08:49:33.862151Z", + "start_time": "2025-09-16T08:49:33.835747Z" } }, + "source": [ + "df = pd.read_csv(DEM_FILE)\n", + "df.head()" + ], "outputs": [ { "data": { + "text/plain": [ + " longitude latitude dem\n", + "0 15.115241 52.765146 91.275597\n", + "1 15.115241 52.742790 96.548294\n", + "2 15.115241 52.710706 51.254551\n", + "3 15.115241 52.708844 48.958282\n", + "4 15.115241 52.671378 16.817863" + ], "text/html": [ "
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" + ] }, - "execution_count": 2, + "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], - "source": [ - "df = pd.read_csv(\n", - " 'data/dem.csv'\n", - ")\n", - "df.head()" - ] + "execution_count": 6 }, { "cell_type": "markdown", @@ -114,14 +179,12 @@ }, { "cell_type": "code", - "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2024-01-03T10:16:25.934970Z", - "start_time": "2024-01-03T10:16:25.858573Z" + "end_time": "2025-10-11T14:26:30.912908Z", + "start_time": "2025-10-11T14:26:30.868756Z" } }, - "outputs": [], "source": [ "# Populate geometry column and set CRS\n", "\n", @@ -130,17 +193,21 @@ "\n", "# Transform crs to metric values\n", "dem.to_crs(epsg=2180, inplace=True)" - ] + ], + "outputs": [], + "execution_count": 7 }, { "cell_type": "code", - "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2024-01-03T10:16:25.996778Z", - "start_time": "2024-01-03T10:16:25.928769Z" + "end_time": "2025-10-11T14:26:44.440762Z", + "start_time": "2025-10-11T14:26:44.428715Z" } }, + "source": [ + "dem.info()" + ], "outputs": [ { "name": "stdout", @@ -160,33 +227,33 @@ ] } ], - "source": [ - "dem.info()" - ] + "execution_count": 8 }, { "cell_type": "code", - "execution_count": 5, + "source": [ + "dem.plot(column='dem', cmap='gist_earth', alpha=0.6, vmin=0, legend=True);" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2025-10-11T14:26:45.884429Z", + "start_time": "2025-10-11T14:26:45.198155Z" + } + }, "outputs": [ { "data": { - "text/plain": "
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" }, "metadata": {}, "output_type": "display_data" } ], - "source": [ - "dem.plot(column='dem', cmap='gist_earth', alpha=0.6, vmin=0, legend=True);" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-01-03T10:16:26.735989Z", - "start_time": "2024-01-03T10:16:25.950292Z" - } - } + "execution_count": 9 }, { "cell_type": "markdown", @@ -219,8 +286,6 @@ }, { "cell_type": "code", - "execution_count": 6, - "outputs": [], "source": [ "exp_semi = calculate_semivariance(\n", " ds=dem[['geometry', 'dem']],\n", @@ -231,10 +296,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-03T10:16:30.207671Z", - "start_time": "2024-01-03T10:16:26.735729Z" + "end_time": "2025-10-11T14:26:51.997457Z", + "start_time": "2025-10-11T14:26:48.546159Z" } - } + }, + "outputs": [], + "execution_count": 10 }, { "cell_type": "markdown", @@ -247,17 +314,6 @@ }, { "cell_type": "code", - "execution_count": 7, - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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- }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "plt.figure(figsize=(15, 6))\n", "plt.scatter(exp_semi[:, 0],\n", @@ -273,10 +329,23 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-03T10:16:30.478067Z", - "start_time": "2024-01-03T10:16:30.221869Z" + "end_time": "2025-10-11T14:26:52.259192Z", + "start_time": "2025-10-11T14:26:52.050485Z" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 11 }, { "cell_type": "markdown", @@ -289,25 +358,6 @@ }, { "cell_type": "code", - "execution_count": 8, - "outputs": [ - { - "ename": "KeyboardInterrupt", - "evalue": "", - "output_type": "error", - "traceback": [ - "\u001B[0;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[0;31mKeyboardInterrupt\u001B[0m Traceback (most recent call last)", - "Cell \u001B[0;32mIn[8], line 1\u001B[0m\n\u001B[0;32m----> 1\u001B[0m exp_cov \u001B[38;5;241m=\u001B[39m \u001B[43mcalculate_covariance\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 2\u001B[0m \u001B[43m \u001B[49m\u001B[43mds\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mdem\u001B[49m\u001B[43m[\u001B[49m\u001B[43m[\u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mgeometry\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[38;5;124;43mdem\u001B[39;49m\u001B[38;5;124;43m'\u001B[39;49m\u001B[43m]\u001B[49m\u001B[43m]\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 3\u001B[0m \u001B[43m \u001B[49m\u001B[43mstep_size\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m500\u001B[39;49m\u001B[43m,\u001B[49m\n\u001B[1;32m 4\u001B[0m \u001B[43m \u001B[49m\u001B[43mmax_range\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;241;43m10_000\u001B[39;49m\n\u001B[1;32m 5\u001B[0m \u001B[43m)\u001B[49m\n", - "File \u001B[0;32m~/Documents/GitHub/ptp-ref/src/pyinterpolate/semivariogram/experimental/experimental_covariogram.py:168\u001B[0m, in \u001B[0;36mcalculate_covariance\u001B[0;34m(ds, step_size, max_range, direction, tolerance, dir_neighbors_selection_method, custom_bins)\u001B[0m\n\u001B[1;32m 160\u001B[0m experimental_covariances \u001B[38;5;241m=\u001B[39m directional_covariance(\n\u001B[1;32m 161\u001B[0m ds\u001B[38;5;241m.\u001B[39mpoints,\n\u001B[1;32m 162\u001B[0m lags,\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 165\u001B[0m dir_neighbors_selection_method\n\u001B[1;32m 166\u001B[0m )\n\u001B[1;32m 167\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m--> 168\u001B[0m experimental_covariances \u001B[38;5;241m=\u001B[39m \u001B[43momnidirectional_covariance\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 169\u001B[0m \u001B[43m \u001B[49m\u001B[43mds\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mpoints\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mlags\u001B[49m\n\u001B[1;32m 170\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 172\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m experimental_covariances\n", - "File \u001B[0;32m~/Documents/GitHub/ptp-ref/src/pyinterpolate/semivariogram/experimental/experimental_covariogram.py:256\u001B[0m, in \u001B[0;36momnidirectional_covariance\u001B[0;34m(points, lags)\u001B[0m\n\u001B[1;32m 242\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21momnidirectional_covariance\u001B[39m(points: np\u001B[38;5;241m.\u001B[39marray, lags: np\u001B[38;5;241m.\u001B[39marray) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m np\u001B[38;5;241m.\u001B[39marray:\n\u001B[1;32m 243\u001B[0m \u001B[38;5;250m \u001B[39m\u001B[38;5;124;03m\"\"\"Function calculates covariance from given points.\u001B[39;00m\n\u001B[1;32m 244\u001B[0m \n\u001B[1;32m 245\u001B[0m \u001B[38;5;124;03m Parameters\u001B[39;00m\n\u001B[0;32m (...)\u001B[0m\n\u001B[1;32m 253\u001B[0m \u001B[38;5;124;03m covariances : numpy array\u001B[39;00m\n\u001B[1;32m 254\u001B[0m \u001B[38;5;124;03m \"\"\"\u001B[39;00m\n\u001B[0;32m--> 256\u001B[0m sorted_covariances \u001B[38;5;241m=\u001B[39m \u001B[43momnidirectional_variogram\u001B[49m\u001B[43m(\u001B[49m\n\u001B[1;32m 257\u001B[0m \u001B[43m \u001B[49m\u001B[43mfn\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mcovariance_fn\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 258\u001B[0m \u001B[43m \u001B[49m\u001B[43mpoints\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mpoints\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 259\u001B[0m \u001B[43m \u001B[49m\u001B[43mlags\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[43mlags\u001B[49m\u001B[43m,\u001B[49m\n\u001B[1;32m 260\u001B[0m \u001B[43m \u001B[49m\u001B[43mcustom_weights\u001B[49m\u001B[38;5;241;43m=\u001B[39;49m\u001B[38;5;28;43;01mNone\u001B[39;49;00m\n\u001B[1;32m 261\u001B[0m \u001B[43m \u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 263\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m sorted_covariances\n", - "File \u001B[0;32m~/Documents/GitHub/ptp-ref/src/pyinterpolate/semivariogram/experimental/functions/general.py:144\u001B[0m, in \u001B[0;36momnidirectional_variogram\u001B[0;34m(fn, points, lags, custom_weights)\u001B[0m\n\u001B[1;32m 141\u001B[0m threads\u001B[38;5;241m.\u001B[39mappend(thread)\n\u001B[1;32m 143\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m thread \u001B[38;5;129;01min\u001B[39;00m threads:\n\u001B[0;32m--> 144\u001B[0m \u001B[43mthread\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43mjoin\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 146\u001B[0m omnidirectional_values \u001B[38;5;241m=\u001B[39m np\u001B[38;5;241m.\u001B[39marray(omnidirectional_values)\n\u001B[1;32m 147\u001B[0m sorted_omnidirectional_values \u001B[38;5;241m=\u001B[39m omnidirectional_values[\n\u001B[1;32m 148\u001B[0m omnidirectional_values[:, \u001B[38;5;241m0\u001B[39m]\u001B[38;5;241m.\u001B[39margsort()\n\u001B[1;32m 149\u001B[0m ]\n", - "File \u001B[0;32m~/miniconda3/envs/ptp-ref/lib/python3.9/threading.py:1060\u001B[0m, in \u001B[0;36mThread.join\u001B[0;34m(self, timeout)\u001B[0m\n\u001B[1;32m 1057\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mRuntimeError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcannot join current thread\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[1;32m 1059\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m timeout \u001B[38;5;129;01mis\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m:\n\u001B[0;32m-> 1060\u001B[0m \u001B[38;5;28;43mself\u001B[39;49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43m_wait_for_tstate_lock\u001B[49m\u001B[43m(\u001B[49m\u001B[43m)\u001B[49m\n\u001B[1;32m 1061\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[1;32m 1062\u001B[0m \u001B[38;5;66;03m# the behavior of a negative timeout isn't documented, but\u001B[39;00m\n\u001B[1;32m 1063\u001B[0m \u001B[38;5;66;03m# historically .join(timeout=x) for x<0 has acted as if timeout=0\u001B[39;00m\n\u001B[1;32m 1064\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_wait_for_tstate_lock(timeout\u001B[38;5;241m=\u001B[39m\u001B[38;5;28mmax\u001B[39m(timeout, \u001B[38;5;241m0\u001B[39m))\n", - "File \u001B[0;32m~/miniconda3/envs/ptp-ref/lib/python3.9/threading.py:1080\u001B[0m, in \u001B[0;36mThread._wait_for_tstate_lock\u001B[0;34m(self, block, timeout)\u001B[0m\n\u001B[1;32m 1077\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m\n\u001B[1;32m 1079\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[0;32m-> 1080\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[43mlock\u001B[49m\u001B[38;5;241;43m.\u001B[39;49m\u001B[43macquire\u001B[49m\u001B[43m(\u001B[49m\u001B[43mblock\u001B[49m\u001B[43m,\u001B[49m\u001B[43m \u001B[49m\u001B[43mtimeout\u001B[49m\u001B[43m)\u001B[49m:\n\u001B[1;32m 1081\u001B[0m lock\u001B[38;5;241m.\u001B[39mrelease()\n\u001B[1;32m 1082\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_stop()\n", - "\u001B[0;31mKeyboardInterrupt\u001B[0m: " - ] - } - ], "source": [ "exp_cov = calculate_covariance(\n", " ds=dem[['geometry', 'dem']],\n", @@ -318,10 +368,12 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-03T14:45:08.736051Z", - "start_time": "2024-01-03T10:16:32.636776Z" + "end_time": "2025-10-11T14:26:55.250217Z", + "start_time": "2025-10-11T14:26:53.478622Z" } - } + }, + "outputs": [], + "execution_count": 12 }, { "cell_type": "markdown", @@ -334,17 +386,6 @@ }, { "cell_type": "code", - "execution_count": 13, - "outputs": [ - { - "data": { - "text/plain": "
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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "plt.figure(figsize=(15, 6))\n", "plt.scatter(exp_cov[:, 0],\n", @@ -360,10 +401,23 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-12-29T08:41:10.057537731Z", - "start_time": "2023-12-29T08:41:09.826943446Z" + "end_time": "2025-10-11T14:26:56.715103Z", + "start_time": "2025-10-11T14:26:56.528841Z" } - } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 13 }, { "cell_type": "markdown", @@ -376,17 +430,6 @@ }, { "cell_type": "code", - "execution_count": 15, - "outputs": [ - { - "data": { - "text/plain": "
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- }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "plt.figure(figsize=(15, 6))\n", "plt.scatter(exp_semi[:, 0],\n", @@ -402,37 +445,23 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2023-12-29T08:43:02.057896426Z", - "start_time": "2023-12-29T08:43:01.866454691Z" + "end_time": "2025-10-11T14:26:59.485780Z", + "start_time": "2025-10-11T14:26:59.321379Z" + } + }, + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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+ }, + "metadata": {}, + "output_type": "display_data" } - } - }, - { - "cell_type": "markdown", - "source": [ - "## Summary" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "source": [ - "## Next part" - ], - "metadata": { - "collapsed": false - } - }, - { - "cell_type": "markdown", - "source": [ - "## Changelog" ], - "metadata": { - "collapsed": false - } + "execution_count": 14 } ], "metadata": { diff --git a/tutorials/api-examples/a-1-2-directional-experimental-semivariogram-and-covariogram.ipynb b/tutorials/api-examples/a-1-2-directional-experimental-semivariogram-and-covariogram.ipynb index e00e3c1b..2dc2973a 100644 --- a/tutorials/api-examples/a-1-2-directional-experimental-semivariogram-and-covariogram.ipynb +++ b/tutorials/api-examples/a-1-2-directional-experimental-semivariogram-and-covariogram.ipynb @@ -46,13 +46,13 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:42:39.310278Z", - "start_time": "2025-09-16T08:42:39.306924Z" + "end_time": "2025-10-11T14:27:19.360387Z", + "start_time": "2025-10-11T14:27:15.912294Z" } }, "id": "d6e309c05d3efec7", "outputs": [], - "execution_count": 5 + "execution_count": 1 }, { "cell_type": "markdown", @@ -78,13 +78,13 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:42:55.600229Z", - "start_time": "2025-09-16T08:42:55.557850Z" + "end_time": "2025-10-11T14:27:20.543848Z", + "start_time": "2025-10-11T14:27:19.866481Z" } }, "id": "84fc798cd350871a", "outputs": [], - "execution_count": 7 + "execution_count": 2 }, { "cell_type": "code", @@ -96,8 +96,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:42:59.626402Z", - "start_time": "2025-09-16T08:42:59.380299Z" + "end_time": "2025-10-11T14:27:21.800382Z", + "start_time": "2025-10-11T14:27:21.559386Z" } }, "id": "a24b9840fccb09a1", @@ -113,7 +113,7 @@ "output_type": "display_data" } ], - "execution_count": 8 + "execution_count": 3 }, { "cell_type": "markdown", @@ -201,13 +201,13 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:43:08.293315Z", - "start_time": "2025-09-16T08:43:08.289250Z" + "end_time": "2025-10-11T14:27:39.552549Z", + "start_time": "2025-10-11T14:27:39.548748Z" } }, "id": "9431e3fbd7ce0ea0", "outputs": [], - "execution_count": 9 + "execution_count": 4 }, { "cell_type": "markdown", @@ -248,8 +248,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:43:11.921870Z", - "start_time": "2025-09-16T08:43:11.677076Z" + "end_time": "2025-10-11T14:27:41.399919Z", + "start_time": "2025-10-11T14:27:41.088207Z" } }, "id": "6a4511ed4f42b026", @@ -265,7 +265,7 @@ "output_type": "display_data" } ], - "execution_count": 10 + "execution_count": 5 }, { "cell_type": "markdown", @@ -331,8 +331,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:43:19.063537Z", - "start_time": "2025-09-16T08:43:18.839601Z" + "end_time": "2025-10-11T14:27:44.110773Z", + "start_time": "2025-10-11T14:27:43.868994Z" } }, "id": "5c8d103196b3cf6e", @@ -348,7 +348,7 @@ "output_type": "display_data" } ], - "execution_count": 11 + "execution_count": 6 }, { "cell_type": "markdown", @@ -367,14 +367,6 @@ "collapsed": false }, "id": "bac62dee3d2533c6" - }, - { - "metadata": {}, - "cell_type": "code", - "outputs": [], - "execution_count": null, - "source": "", - "id": "dbfe02c8b7a768d9" } ], "metadata": { diff --git a/tutorials/api-examples/a-1-3-experimental-variogram-class.ipynb b/tutorials/api-examples/a-1-3-experimental-variogram-class.ipynb index 822b51f8..a304f23f 100644 --- a/tutorials/api-examples/a-1-3-experimental-variogram-class.ipynb +++ b/tutorials/api-examples/a-1-3-experimental-variogram-class.ipynb @@ -31,8 +31,6 @@ }, { "cell_type": "code", - "execution_count": 2, - "outputs": [], "source": [ "import geopandas as gpd\n", "from pyinterpolate import ExperimentalVariogram\n", @@ -41,43 +39,34 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:48:50.863763330Z", - "start_time": "2024-01-13T20:48:48.942047391Z" + "end_time": "2025-10-11T14:27:55.214111Z", + "start_time": "2025-10-11T14:27:52.952452Z" } }, - "id": "3481efecb9ba5d8a" + "id": "3481efecb9ba5d8a", + "outputs": [], + "execution_count": 1 }, { "cell_type": "code", - "execution_count": 3, - "outputs": [], "source": [ "VALUE_COL = 'PM2.5'\n", - "df = gpd.read_file('data/air_pollution.gpkg', layer='pm2_5')\n", + "df = gpd.read_file('../data/air_pollution.gpkg', layer='pm2_5')\n", "df.set_index('station_id', inplace=True)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:48:51.197909807Z", - "start_time": "2024-01-13T20:48:50.866639206Z" + "end_time": "2025-10-11T14:28:00.140467Z", + "start_time": "2025-10-11T14:28:00.127840Z" } }, - "id": "1b46c2d0bc8d111c" + "id": "1b46c2d0bc8d111c", + "outputs": [], + "execution_count": 3 }, { "cell_type": "code", - "execution_count": 4, - "outputs": [ - { - "data": { - "text/plain": "
", - "image/png": 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" - }, - "metadata": {}, - "output_type": "display_data" - } - ], "source": [ "df.plot(figsize=(10, 10), column=VALUE_COL, legend=True, markersize=50, alpha=0.7, marker=\"h\", cmap='Reds')\n", "plt.title('PM2.5 concentrations in Poland')\n", @@ -86,16 +75,27 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:48:51.649495088Z", - "start_time": "2024-01-13T20:48:51.204076029Z" + "end_time": "2025-10-11T14:28:04.339274Z", + "start_time": "2025-10-11T14:28:04.104837Z" } }, - "id": "ae18b4666eb87f39" + "id": "ae18b4666eb87f39", + "outputs": [ + { + "data": { + "text/plain": [ + "
" + ], + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "execution_count": 4 }, { "cell_type": "code", - "execution_count": 5, - "outputs": [], "source": [ "step_size = 60000 # meters\n", "max_range = 400000 # meters\n", @@ -108,15 +108,27 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:48:51.665744437Z", - "start_time": "2024-01-13T20:48:51.654328687Z" + "end_time": "2025-10-11T14:28:06.105317Z", + "start_time": "2025-10-11T14:28:06.090753Z" } }, - "id": "3c2ee6374fb15c64" + "id": "3c2ee6374fb15c64", + "outputs": [], + "execution_count": 5 }, { "cell_type": "code", - "execution_count": 6, + "source": [ + "print(evar)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2025-10-11T14:28:06.890041Z", + "start_time": "2025-10-11T14:28:06.885383Z" + } + }, + "id": "affb0a372d417b9e", "outputs": [ { "name": "stdout", @@ -135,47 +147,37 @@ ] } ], + "execution_count": 6 + }, + { + "cell_type": "code", "source": [ - "print(evar)" + "evar.plot()" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:48:51.828406471Z", - "start_time": "2024-01-13T20:48:51.668284805Z" + "end_time": "2025-10-11T14:28:07.951255Z", + "start_time": "2025-10-11T14:28:07.810767Z" } }, - "id": "affb0a372d417b9e" - }, - { - "cell_type": "code", - "execution_count": 7, + "id": "db3d269dcd5bee77", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" } ], - "source": [ - "evar.plot()" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-01-13T20:48:52.020614800Z", - "start_time": "2024-01-13T20:48:51.685355033Z" - } - }, - "id": "db3d269dcd5bee77" + "execution_count": 7 }, { "cell_type": "code", - "execution_count": 11, - "outputs": [], "source": [ "step_size = 60000 # meters\n", "max_range = 600000 # meters\n", @@ -193,82 +195,76 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:49:31.416476834Z", - "start_time": "2024-01-13T20:49:31.132744361Z" + "end_time": "2025-10-11T14:28:10.081925Z", + "start_time": "2025-10-11T14:28:10.011665Z" } }, - "id": "14596c0eca656a4a" + "id": "14596c0eca656a4a", + "outputs": [], + "execution_count": 8 }, { "cell_type": "code", - "execution_count": 12, + "source": [ + "print(dir_exp_var)" + ], + "metadata": { + "collapsed": false, + "ExecuteTime": { + "end_time": "2025-10-11T14:28:12.597410Z", + "start_time": "2025-10-11T14:28:12.592161Z" + } + }, + "id": "f2152dc53ae61024", "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "+----------+--------------------+--------------------+\n", - "| lag | semivariance | covariance |\n", - "+----------+--------------------+--------------------+\n", - "| 60000.0 | 1.3887550757485296 | 4.046834073810726 |\n", - "| 120000.0 | 3.1782088761956047 | 3.4717090480446138 |\n", - "| 180000.0 | 3.080000917927103 | 4.096350345569313 |\n", - "| 240000.0 | 3.0723193854568707 | 3.6293534102518725 |\n", - "| 300000.0 | 3.0525240618326475 | 3.7611940630671885 |\n", - "| 360000.0 | 3.7324903276098107 | 2.810137101326647 |\n", - "| 420000.0 | 3.803229538949476 | 2.445211199569317 |\n", - "| 480000.0 | 4.873165488987691 | 1.2853425339567195 |\n", - "| 540000.0 | 4.068769433076887 | 1.443199100553518 |\n", - "+----------+--------------------+--------------------+\n" + "+----------+--------------------+---------------------+\n", + "| lag | semivariance | covariance |\n", + "+----------+--------------------+---------------------+\n", + "| 60000.0 | 2.7292675116500003 | 2.9833866466445254 |\n", + "| 120000.0 | 3.198221837823077 | 3.7229674546384204 |\n", + "| 180000.0 | 3.3543254060088894 | 3.5510311268463948 |\n", + "| 240000.0 | 4.547019175368236 | 2.1016007620441406 |\n", + "| 300000.0 | 4.388034806582664 | 1.614361951511518 |\n", + "| 360000.0 | 4.972648136478203 | 0.4260783473484782 |\n", + "| 420000.0 | 6.733431477934165 | -1.0438080568980284 |\n", + "| 480000.0 | 7.648841021924846 | -1.1761469856194273 |\n", + "| 540000.0 | 7.087442587929972 | -1.3113078294940659 |\n", + "+----------+--------------------+---------------------+\n" ] } ], + "execution_count": 9 + }, + { + "cell_type": "code", "source": [ - "print(dir_exp_var)" + "dir_exp_var.plot(variance=False)" ], "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2024-01-13T20:49:32.028482389Z", - "start_time": "2024-01-13T20:49:32.019582636Z" + "end_time": "2025-10-11T14:28:14.038109Z", + "start_time": "2025-10-11T14:28:13.927987Z" } }, - "id": "f2152dc53ae61024" - }, - { - "cell_type": "code", - "execution_count": 14, + "id": "679ad44999185b54", "outputs": [ { "data": { - "text/plain": "
", - "image/png": 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" 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" }, "metadata": {}, "output_type": "display_data" } ], - "source": [ - "dir_exp_var.plot(variance=False)" - ], - "metadata": { - "collapsed": false, - "ExecuteTime": { - "end_time": "2024-01-13T20:50:03.028107906Z", - "start_time": "2024-01-13T20:50:02.748355984Z" - } - }, - "id": "679ad44999185b54" - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false - }, - "id": "4888203a83ebe85c" + "execution_count": 10 } ], "metadata": { diff --git a/tutorials/api-examples/a-1-4-directional-variogram-class.ipynb b/tutorials/api-examples/a-1-4-directional-variogram-class.ipynb index cbe19c88..f9bd2982 100644 --- a/tutorials/api-examples/a-1-4-directional-variogram-class.ipynb +++ b/tutorials/api-examples/a-1-4-directional-variogram-class.ipynb @@ -46,8 +46,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:15.878419Z", - "start_time": "2025-09-16T08:48:13.697524Z" + "end_time": "2025-10-11T14:28:23.573292Z", + "start_time": "2025-10-11T14:28:21.326033Z" } }, "id": "507181193b81b39e", @@ -64,8 +64,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:16.047694Z", - "start_time": "2025-09-16T08:48:15.981731Z" + "end_time": "2025-10-11T14:28:23.793369Z", + "start_time": "2025-10-11T14:28:23.706154Z" } }, "id": "5e7ba6cbc0e37e81", @@ -82,8 +82,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:16.312175Z", - "start_time": "2025-09-16T08:48:16.065883Z" + "end_time": "2025-10-11T14:28:24.071699Z", + "start_time": "2025-10-11T14:28:23.815404Z" } }, "id": "908fe4c083cce45a", @@ -118,8 +118,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:16.535872Z", - "start_time": "2025-09-16T08:48:16.329615Z" + "end_time": "2025-10-11T14:28:26.664637Z", + "start_time": "2025-10-11T14:28:26.450951Z" } }, "id": "b87bade3a93eaf8", @@ -134,8 +134,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:23.642085Z", - "start_time": "2025-09-16T08:48:23.637077Z" + "end_time": "2025-10-11T14:28:26.784392Z", + "start_time": "2025-10-11T14:28:26.779576Z" } }, "id": "21a51c6f02ed22ae", @@ -161,8 +161,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:25.361248Z", - "start_time": "2025-09-16T08:48:25.117382Z" + "end_time": "2025-10-11T14:28:27.246658Z", + "start_time": "2025-10-11T14:28:26.974161Z" } }, "id": "7014b4d559b6e749", @@ -189,8 +189,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:28.742118Z", - "start_time": "2025-09-16T08:48:28.613210Z" + "end_time": "2025-10-11T14:28:27.381277Z", + "start_time": "2025-10-11T14:28:27.263226Z" } }, "id": "185308d10a0475e7", @@ -207,16 +207,6 @@ } ], "execution_count": 7 - }, - { - "cell_type": "code", - "execution_count": null, - "outputs": [], - "source": [], - "metadata": { - "collapsed": false - }, - "id": "c94cdc05b03f10b3" } ], "metadata": { diff --git a/tutorials/api-examples/a-1-5-variogram-point-cloud.ipynb b/tutorials/api-examples/a-1-5-variogram-point-cloud.ipynb index 0881955e..c8465240 100644 --- a/tutorials/api-examples/a-1-5-variogram-point-cloud.ipynb +++ b/tutorials/api-examples/a-1-5-variogram-point-cloud.ipynb @@ -46,8 +46,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:43.077292Z", - "start_time": "2025-09-16T08:48:41.013103Z" + "end_time": "2025-10-11T14:28:56.038568Z", + "start_time": "2025-10-11T14:28:53.743285Z" } }, "id": "2049cd3cc09613a7", @@ -72,8 +72,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:43.866614Z", - "start_time": "2025-09-16T08:48:43.183730Z" + "end_time": "2025-10-11T14:28:56.781275Z", + "start_time": "2025-10-11T14:28:56.139369Z" } }, "id": "48f45dde054d0b0a", @@ -110,8 +110,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:48:45.353886Z", - "start_time": "2025-09-16T08:48:45.350013Z" + "end_time": "2025-10-11T14:28:56.807771Z", + "start_time": "2025-10-11T14:28:56.804715Z" } }, "id": "2837a50972f51000", @@ -126,8 +126,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:08.149214Z", - "start_time": "2025-09-16T08:48:47.296259Z" + "end_time": "2025-10-11T14:29:21.005701Z", + "start_time": "2025-10-11T14:28:56.828745Z" } }, "id": "894d3040a85ef07f", @@ -142,8 +142,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:24.687613Z", - "start_time": "2025-09-16T08:49:09.508943Z" + "end_time": "2025-10-11T14:29:38.987992Z", + "start_time": "2025-10-11T14:29:22.516764Z" } }, "id": "9aeb481438e71994", @@ -190,8 +190,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:24.698149Z", - "start_time": "2025-09-16T08:49:24.694798Z" + "end_time": "2025-10-11T14:29:40.366558Z", + "start_time": "2025-10-11T14:29:40.364196Z" } }, "id": "b74017f63ade8086", @@ -206,8 +206,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:31.637440Z", - "start_time": "2025-09-16T08:49:28.082660Z" + "end_time": "2025-10-11T14:29:44.603973Z", + "start_time": "2025-10-11T14:29:41.918972Z" } }, "id": "315e2c6a06055736", @@ -222,8 +222,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:51.084538Z", - "start_time": "2025-09-16T08:49:33.619251Z" + "end_time": "2025-10-11T14:30:00.516876Z", + "start_time": "2025-10-11T14:29:46.371813Z" } }, "id": "a215725d8ec9ce1a", @@ -259,8 +259,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:49:54.334899Z", - "start_time": "2025-09-16T08:49:53.101416Z" + "end_time": "2025-10-11T14:30:03.392831Z", + "start_time": "2025-10-11T14:30:02.363850Z" } }, "id": "3dd25cf25c429097", @@ -296,8 +296,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:50:35.023696Z", - "start_time": "2025-09-16T08:49:56.512458Z" + "end_time": "2025-10-11T14:30:43.802067Z", + "start_time": "2025-10-11T14:30:05.204026Z" } }, "id": "70c0e0516f737ee9", @@ -349,8 +349,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:50:38.835046Z", - "start_time": "2025-09-16T08:50:36.590994Z" + "end_time": "2025-10-11T14:30:47.932873Z", + "start_time": "2025-10-11T14:30:45.619129Z" } }, "id": "ba0456bb78d0526e", @@ -371,8 +371,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:50:43.305944Z", - "start_time": "2025-09-16T08:50:40.594554Z" + "end_time": "2025-10-11T14:30:52.261892Z", + "start_time": "2025-10-11T14:30:49.710316Z" } }, "id": "daac787d92bbb315", @@ -390,8 +390,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:52:53.158644Z", - "start_time": "2025-09-16T08:50:45.412658Z" + "end_time": "2025-10-11T14:32:50.656176Z", + "start_time": "2025-10-11T14:30:54.447970Z" } }, "id": "8459bdedf019b50e", @@ -423,8 +423,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:52:55.057216Z", - "start_time": "2025-09-16T08:52:55.019743Z" + "end_time": "2025-10-11T14:32:52.594126Z", + "start_time": "2025-10-11T14:32:52.571254Z" } }, "id": "2ffc5235d9c3f0a3", @@ -442,8 +442,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:52:56.939408Z", - "start_time": "2025-09-16T08:52:56.841984Z" + "end_time": "2025-10-11T14:32:54.288308Z", + "start_time": "2025-10-11T14:32:54.190555Z" } }, "id": "fbfeef6d0f91a8ba", @@ -485,8 +485,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:53:18.585489Z", - "start_time": "2025-09-16T08:52:58.464075Z" + "end_time": "2025-10-11T14:33:18.357671Z", + "start_time": "2025-10-11T14:32:56.013204Z" } }, "id": "845ff8275c57dbb6", @@ -501,8 +501,8 @@ "metadata": { "collapsed": false, "ExecuteTime": { - "end_time": "2025-09-16T08:53:19.956530Z", - "start_time": "2025-09-16T08:53:19.434980Z" + "end_time": "2025-10-11T14:33:19.735057Z", + "start_time": "2025-10-11T14:33:19.212904Z" } }, "id": "a2edc76e87a61742", @@ -529,16 +529,6 @@ } ], "execution_count": 17 - }, - { - "cell_type": "code", - "outputs": [], - "source": [], - "metadata": { - "collapsed": false - }, - "id": "e8861508c1ed576", - "execution_count": null } ], "metadata": { diff --git a/tutorials/functional/1-1-semivariogram-exploration.ipynb b/tutorials/functional/1-1-semivariogram-exploration.ipynb index 013aba54..d57bdb2d 100644 --- a/tutorials/functional/1-1-semivariogram-exploration.ipynb +++ b/tutorials/functional/1-1-semivariogram-exploration.ipynb @@ -544,7 +544,7 @@ "- **semivariance**: dissimilarity over a distance, and point cloud semivariances - non-averaged dissimilarities between point pairs,\n", "- **covariance**: similarity over a distance,\n", "- **variance**: non-spatial variance of all points.\n", - "- \n", + "\n", "The class has two useful methods:\n", "\n", "1. We can print object statistics with the `print()` function,\n", @@ -668,7 +668,7 @@ "- **Circles** represent semivariance,\n", "- **Plus signs** represent covariance,\n", "- **The dashed line** is a variance.\n", - "- \n", + "\n", "We see here that semivariance and covariance are mirrored. What does it mean? It is normal behavior, and we should expect it - semivariance and covariance have symmetrical trends (they differ in a sign). We can read it as:\n", "\n", "- **semivariances** show that the dissimilarity between point pairs over a distance increases,\n", @@ -696,7 +696,7 @@ "Semivariogram has three basic properties:\n", "\n", "- **nugget**: the initial value at a zero distance. In most cases, it is zero, but sometimes it represents a bias.\n", - "- **sill**: a distance where the semivariogram flattens and reaches approximately 95% of dissimilarity. Sometimes we cannot find a sill; for example, if differences grow exponentially, but in pyinterpolate it is usually set close to the variance of data,\n", + "- **sill**: a distance where the semivariogram flattens and reaches approximately 95% of dissimilarity. Sometimes we cannot find a sill; for example, if differences grow exponentially, but in pyinterpolate it is usually set close to the variance of data. In `pyinterpolate` we set **partial_sill** which is a difference between **total sill** and **nugget**.\n", "- **range**: is a distance where a variogram reaches its sill. Larger distances are negligible for interpolation.\n", "\n", "We are not forced to know all of them at the beginning. The package may easily derive them all with the class `TheoriticalVariogram.autofit()` method.\n", @@ -720,7 +720,7 @@ "\n", "We will set the following:\n", "\n", - "- **sill** to the experimental variogram variance, (but it might be set to the the last five lags average value of semivariances),\n", + "- **sill** (partial sill) to the experimental variogram variance, (but it might be set to the the last five lags average value of semivariances),\n", "- **nugget** to zero,\n", "- **range** to 8000 (we see in the experimental variogram plot that the semivariance *flattens* around this range, and it becomes close to the variance)." ] @@ -2079,6 +2079,7 @@ "\n", "| Date | Changes | Author |\n", "|------------|----------------------------------------------------|----------------------------------|\n", + "| 2025-10-11 | Updated **sill** descriptions | @SimonMolinsky (Szymon Moliński) |\n", "| 2025-09-16 | Removed `dir_neighbors_selection_method` parameter | @SimonMolinsky (Szymon Moliński) |\n", "| 2025-02-15 | Tutorial has been adapted to the 1.0 release | @SimonMolinsky (Szymon Moliński) |" ]