From 9a21fbf0ef44d32f3528d18584a64af9df4396bd Mon Sep 17 00:00:00 2001 From: Simon <31246246+SimonMolinsky@users.noreply.github.com> Date: Sat, 16 Aug 2025 21:36:42 +0300 Subject: [PATCH] Added buffer to interpolate_raster function --- CHANGELOG.rst | 9 +++- docs/build/doctrees/api/viz/raster.doctree | Bin 25874 -> 27357 bytes docs/build/doctrees/environment.pickle | Bin 581814 -> 583005 bytes .../_modules/pyinterpolate/viz/raster.html | 46 +++++++++++++----- docs/build/html/api/viz/raster.html | 5 +- docs/build/html/searchindex.js | 2 +- src/pyinterpolate/viz/raster.py | 40 +++++++++++---- tests/test_viz/test_raster.py | 2 +- 8 files changed, 79 insertions(+), 25 deletions(-) diff --git a/CHANGELOG.rst b/CHANGELOG.rst index 3d1be304..51e6dfda 100644 --- a/CHANGELOG.rst +++ b/CHANGELOG.rst @@ -1,6 +1,13 @@ Changes - from version >= 1.x ============================= +2025-0 +------ + +**version 1.0.4** + +* [enhancement] new parameter - `buffer` - has been added to `interpolate_raster` when `dimension` is set, it is float, by default equal to 0, must be equal or greater than 1. It creates buffer of size (buffer * step_size) around the interpolated grid. + 2025-07-17 ---------- @@ -21,7 +28,7 @@ Changes - from version >= 1.x **version 1.0.1** * [feature] `ordinary_kriging()` and `simple_kriging()` functions allow user to pass array-like object of coordinates as the `unknown_locations` parameter. -* [enhacement] added `__repr__()` method to `TheoreticalVariogram` class. +* [enhancement] added `__repr__()` method to `TheoreticalVariogram` class. 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zin5RuWyN+>qO6$YNR$=Z_`4`8wtwqrE7osRv=#fO9Bst`YF#vY{YW%>{Xfyxw0MlXY5)+dhD?L?Hd6V@a@#@Z46J7TO!=sy`_jkd9x zIfm0&kB28f|J!f5J=WS1V_B1=#9EhRLV50AW*r9Jx67=khWjkHBD6Wnt%&KiE=Ok`-(%OKxL(y_;7arAtM?JON+CnYhxs}$@sAxMMw|3yde<1xl0MwbDJ8n&+&g0ew z5bHW_#WCgW<5n~snx3#?9~gOp)uQZ#wM!!g?tCfZ1_T#An>cQ5MbnO9PBikIfD*(G!gJ-P$k>@kkwkTNn&sb3h(`T&7_zA~}XRHqX8OZP19^` zdD)`q@#}0Y;ApiiJPZ#%(FxORt&tfkXrt-2D3oH{owknXFTK;&nwPIJR&j3O{Nk+qVR?mR*(pVNg`o9V zB^E-N)Jiz+vP~KVJWD=h`QH7h4YkS3pW2uAqBWSlB%>8Zx2F@ou*K64KeI(b^p~G8q@q5zp$-`H zxvdLUZpr7iH2zf&&!qv+j;d#U4Z7+hD%};=bEp zM`)ur+B@?k36=~899*u1Bnvj$TR_~ZjdnCZAKqxkUir;Ndw-ttj3wh+cgj;6?RGk$ z(%ujf%&N4bg1Mv8-WR;n+>6{~M>BESCi@8Rc5JdE#-}&garCrqwqu_hvYEZGY_lB| z)6vZ=x1V`jH^q(;H=ldk6g!iHXB2xo{G{q)l|8zCR#|Bw0~`nqtL$kQF{sKOkA7yA zy{+4ir~5Y8tyVn3=ZdCHtL!c8TnIgURIoXrjXQ%lnzqGm#Q=;TJ?P-u?G30iDXjkC zHCybBn~{0_sq%mwmB14Z*gIn~*0cY9z&d z{_U11dSbtQHgz1Zr_hW8_GDUoz@A3092^!!EBDxKhbKQ`ZveyKL3``AOY(CI9GxBT zC0J1x$CCW4C29ak9U~p^M~fh3!cy;)O9N8U>5tkwgsI8fR+F4F#v()+6@mVI(0+jy zy=ALUo$uNs4#yp`|0B_Nc37h6%;d0$!>5keU$ixGWM`FTUEjZpqub0bj_ln0!vjv( yPb6I}GaK%T^edrbUIE`CdVT~x)BV*OkH0GY$+cB5eCj88hQZz - pyinterpolate.viz.raster — pyinterpolate 1.0.0 documentation + pyinterpolate.viz.raster — pyinterpolate 1.0.3 documentation @@ -38,7 +38,7 @@ - + @@ -111,7 +111,7 @@ -

pyinterpolate 1.0.0 documentation

+

pyinterpolate 1.0.3 documentation

@@ -439,20 +439,24 @@

Source code for pyinterpolate.viz.raster

 from pyinterpolate.semivariogram.theoretical.theoretical import TheoreticalVariogram
 
 
-def set_dimensions(xs, ys, dmax):
+def set_dimensions(xs, ys, dmax, buffer=0.0):
     """
     Function sets dimensions of the output array.
 
     Parameters
     ----------
     xs : numpy array
-         X coordinates.
+        X coordinates.
 
     ys : numpy array
-         Y coordinates.
+        Y coordinates.
 
     dmax : int
-           How many points between max dimensions.
+        How many points between max dimensions.
+
+    buffer : float, default = 0
+        Buffer around interpolated area. Must be equal or greater than one,
+        otherwise it is not created.
 
     Returns
     -------
@@ -471,12 +475,21 @@ 
Source code for pyinterpolate.viz.raster
 
     if x_abs > y_abs:
         step = x_abs / dmax
-        x_dim_coords = np.arange(xmin + step, xmax + step, step)
-        y_dim_coords = np.arange(ymin + step, ymax + step, step)
     else:
         step = y_abs / dmax
-        y_dim_coords = np.arange(ymin + step, ymax + step, step)
-        x_dim_coords = np.arange(xmin + step, xmax + step, step)
+
+    if buffer >= 1:
+        bb = buffer
+    else:
+        bb = 0.01
+
+    initial_x_position = xmin - (bb * step)
+    initial_y_position = ymin - (bb * step)
+    end_x_position = xmax + (bb * step)
+    end_y_position = ymax + (bb * step)
+
+    y_dim_coords = np.arange(initial_y_position, end_y_position, step)
+    x_dim_coords = np.arange(initial_x_position, end_x_position, step)
 
     # y_dim_coords must be flipped
     y_dim_coords = y_dim_coords[::-1]
@@ -487,6 +500,7 @@ 
Source code for pyinterpolate.viz.raster
 [docs]
 def interpolate_raster(data,
                        dim=1000,
+                       buffer=0.0,
                        number_of_neighbors=4,
                        semivariogram_model=None,
                        direction=None,
@@ -504,6 +518,11 @@ 
Source code for pyinterpolate.viz.raster
         Number of pixels (points) of a larger dimension (it could be width
         or height). Ratio is preserved.
 
+    buffer : float, default = 0
+        Buffer around interpolated area. Must be equal or greater than one,
+        otherwise it is not created.
+
+
     number_of_neighbors : int, default=16
         Number of points used to interpolate data.
 
@@ -560,7 +579,10 @@ 
Source code for pyinterpolate.viz.raster
     if isinstance(data, list):
         data = np.array(data)
 
-    x_coords, y_coords, props = set_dimensions(data[:, 0], data[:, 1], dim)
+    x_coords, y_coords, props = set_dimensions(data[:, 0],
+                                               data[:, 1],
+                                               dim,
+                                               buffer)
 
     # Calculate semivariance if not provided
 
diff --git a/docs/build/html/api/viz/raster.html b/docs/build/html/api/viz/raster.html
index 5d6c073a..c87be454 100644
--- a/docs/build/html/api/viz/raster.html
+++ b/docs/build/html/api/viz/raster.html
@@ -455,7 +455,7 @@ 
Visualization#

 

 

-pyinterpolate.interpolate_raster(data, dim=1000, number_of_neighbors=4, semivariogram_model=None, direction=None, tolerance=None, allow_approx_solutions=True) → Dict[source]

+pyinterpolate.interpolate_raster(data, dim=1000, buffer=0.0, number_of_neighbors=4, semivariogram_model=None, direction=None, tolerance=None, allow_approx_solutions=True) → Dict[source]
 
Function interpolates raster from data points using ordinary kriging.

 

 
Parameters:

@@ -465,6 +465,9 @@ 
Raster#dimint
Number of pixels (points) of a larger dimension (it could be width
 or height). Ratio is preserved.

 

+
bufferfloat, default = 0
Buffer around interpolated area. Must be equal or greater than one,
+otherwise it is not created.

+

 
number_of_neighborsint, default=16
Number of points used to interpolate data.

 

 
semivariogram_modelTheoreticalVariogram, default=None
Variogram model, if not provided then it is estimated from a given
diff --git a/docs/build/html/searchindex.js b/docs/build/html/searchindex.js
index 27daab48..9acaeeec 100644
--- a/docs/build/html/searchindex.js
+++ b/docs/build/html/searchindex.js
@@ -1 +1 @@
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\ No newline at end of file
+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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"weighted_root_mean_squared_error": 5, "weightedblock2blocksemivari": 1, "weightedblock2pointsemivari": 1, "weighting_method": [5, 9], "weights_arrai": 1, "well": [5, 8, 31, 34, 36, 38, 41, 42, 43], "were": [4, 31], "weren": 2, "west": [10, 36, 39], "western": 36, "whale": 10, "what": [3, 5, 7, 8, 13, 31, 32, 34, 40, 41, 42, 43], "wheel": 27, "when": [2, 3, 5, 7, 8, 9, 10, 11, 12, 13, 31, 32, 35, 36, 37, 38, 40, 41, 42, 43], "whenev": 33, "where": [2, 3, 4, 5, 6, 8, 9, 10, 11, 31, 32, 33, 35, 36, 37, 38, 39, 40, 41, 42, 43], "which": [2, 8, 10, 12, 24, 27, 31, 32, 34, 37, 38, 40], "whisker": [35, 38], "white": [40, 44], "whole": [9, 31, 36], "why": [5, 8, 35, 36, 37, 38, 40, 41], "wide": [42, 43], "width": [8, 13, 34], "wielkopolski": 31, "wiki": 5, "wikipedia": 5, "wildli": [31, 36], "wise": 9, "with_stat": 38, "with_std": 38, "within": [2, 3, 5, 6, 8, 9, 10, 11, 12, 31, 32, 33, 34, 35, 36, 41, 43], "without": [27, 31, 32, 33, 38, 40], "without_stat": 38, "without_std": 38, "wkt": 2, 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"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/src/pyinterpolate/viz/raster.py b/src/pyinterpolate/viz/raster.py
index c48b9aa4..b0c8779a 100644
--- a/src/pyinterpolate/viz/raster.py
+++ b/src/pyinterpolate/viz/raster.py
@@ -15,20 +15,24 @@
 from pyinterpolate.semivariogram.theoretical.theoretical import TheoreticalVariogram
 
 
-def set_dimensions(xs, ys, dmax):
+def set_dimensions(xs, ys, dmax, buffer=0.0):
     """
     Function sets dimensions of the output array.
 
     Parameters
     ----------
     xs : numpy array
-         X coordinates.
+        X coordinates.
 
     ys : numpy array
-         Y coordinates.
+        Y coordinates.
 
     dmax : int
-           How many points between max dimensions.
+        How many points between max dimensions.
+
+    buffer : float, default = 0
+        Buffer around interpolated area. Must be equal or greater than one,
+        otherwise it is not created.
 
     Returns
     -------
@@ -47,12 +51,21 @@ def set_dimensions(xs, ys, dmax):
 
     if x_abs > y_abs:
         step = x_abs / dmax
-        x_dim_coords = np.arange(xmin + step, xmax + step, step)
-        y_dim_coords = np.arange(ymin + step, ymax + step, step)
     else:
         step = y_abs / dmax
-        y_dim_coords = np.arange(ymin + step, ymax + step, step)
-        x_dim_coords = np.arange(xmin + step, xmax + step, step)
+
+    if buffer >= 1:
+        bb = buffer
+    else:
+        bb = 0.01
+
+    initial_x_position = xmin - (bb * step)
+    initial_y_position = ymin - (bb * step)
+    end_x_position = xmax + (bb * step)
+    end_y_position = ymax + (bb * step)
+
+    y_dim_coords = np.arange(initial_y_position, end_y_position, step)
+    x_dim_coords = np.arange(initial_x_position, end_x_position, step)
 
     # y_dim_coords must be flipped
     y_dim_coords = y_dim_coords[::-1]
@@ -61,6 +74,7 @@ def set_dimensions(xs, ys, dmax):
 
 def interpolate_raster(data,
                        dim=1000,
+                       buffer=0.0,
                        number_of_neighbors=4,
                        semivariogram_model=None,
                        direction=None,
@@ -78,6 +92,11 @@ def interpolate_raster(data,
         Number of pixels (points) of a larger dimension (it could be width
         or height). Ratio is preserved.
 
+    buffer : float, default = 0
+        Buffer around interpolated area. Must be equal or greater than one,
+        otherwise it is not created.
+
+
     number_of_neighbors : int, default=16
         Number of points used to interpolate data.
 
@@ -134,7 +153,10 @@ def interpolate_raster(data,
     if isinstance(data, list):
         data = np.array(data)
 
-    x_coords, y_coords, props = set_dimensions(data[:, 0], data[:, 1], dim)
+    x_coords, y_coords, props = set_dimensions(data[:, 0],
+                                               data[:, 1],
+                                               dim,
+                                               buffer)
 
     # Calculate semivariance if not provided
 
diff --git a/tests/test_viz/test_raster.py b/tests/test_viz/test_raster.py
index 958be146..729a36dc 100644
--- a/tests/test_viz/test_raster.py
+++ b/tests/test_viz/test_raster.py
@@ -36,4 +36,4 @@ def test_interpolate_raster():
     assert isinstance(interpolated['result'], np.ndarray)
     assert isinstance(interpolated['error'], np.ndarray)
     assert isinstance(interpolated['params'], dict)
-    assert interpolated['result'].shape == (50, 50)
+    assert interpolated['result'].shape == (51, 51)