diff --git a/measprocess/geospatial.py b/measprocess/geospatial.py
index 4a3b30b3a1fc0aee42883f576e1ca53d790b5aae..b3c93a5e3c04565e292d2398a32b820a483d2a7d 100644
--- a/measprocess/geospatial.py
+++ b/measprocess/geospatial.py
@@ -1,6 +1,6 @@
 import overpy
 import geopandas as gpd
-from shapely.geometry import LineString, Polygon, box
+from shapely.geometry import LineString, Polygon, Point, box
 from scipy.spatial.distance import cdist
 import numpy as np
 import warnings
@@ -156,4 +156,37 @@ def crop_geoseries_by_bounds(original_geoseries : gpd.GeoSeries, filter_geoserie
     bound_box = gpd.GeoDataFrame(geometry = gpd.GeoSeries(bound_box)).set_crs("EPSG:4326") # create geodataframe for overlay
     filtered_series = (gpd.overlay(gpd.GeoDataFrame(geometry = original_geoseries),bound_box, how='intersection')).geometry
 
-    return filtered_series
\ No newline at end of file
+    return filtered_series
+
+def interpolate_series_at_distance(street_series : gpd.GeoSeries, distance : int = 2) -> gpd.GeoSeries:
+    '''
+    Interpolates along the geoseries streets_series to get nodes at a distance 'distance' apart.
+    Make sure to pass data in Cartesian coordinates (e.g. use street_series.to_crs('EPSG:31287') for Austria).
+
+    :param street_series: geopandas geoseries 
+    :param distance: integer determining the spacing between interpolation points, default=2
+
+    :return: geopandas geoseries overlapping with original geoseries containing more frequent nodes
+    '''
+    if street_series.crs == "EPSG:4326":
+        raise ValueError("Make sure to pass data in Cartesian coordinates (e.g. use street_series.to_crs('EPSG:31287') for Austria)")
+    
+    if distance <= 0:  
+        raise ValueError("Distance has to be a positive number.")
+
+    lines = []
+    for linestring in street_series:
+        list_points = [] # list to hold all the point coords
+        current_dist = distance # set the current distance to place the point
+        line_length = linestring.length # get the total length of the line (not number of points, but actual length) 
+        list_points.append(Point(list( linestring.coords[0])))  # append the starting coordinate to the list
+        while current_dist < line_length: # while the current cumulative distance is less than the total length of the line
+            list_points.append(linestring.interpolate(current_dist)) # use interpolate and increase the current distance
+            current_dist += distance
+        list_points.append(Point(list( linestring.coords[-1]))) # append end coordinate to the list
+        line = LineString(list_points)
+        lines.append(line)
+
+    interpolated_street_series = gpd.GeoSeries(lines)
+    return interpolated_street_series 
+
diff --git a/measprocess/plotting.py b/measprocess/plotting.py
index c84953b10aa60134f717a81a4a41eccd1a2a29a2..7c5a8272943100343980a87b68b3f45675ddbd52 100644
--- a/measprocess/plotting.py
+++ b/measprocess/plotting.py
@@ -34,3 +34,15 @@ def plot_series_osm(gps_series : gpd.GeoSeries, c_series : np.ndarray = None, zo
         plt.savefig(save_path, bbox_inches="tight")
     if show:
         plt.show()
+
+def plot_street_nodes(street_series : gpd.GeoSeries, axs, marker : str = 'o', color : str = 'blue'):
+    '''
+    Plots the street_series with nodes along each way.
+
+    :param street_series: geopandas series of LineStrings
+    :param axs: denotes the axis on which to plot
+    :param marker: marker for the nodes
+    :param color: color of the plotted lines and nodes
+    '''
+    for linestring in street_series: 
+        axs.plot(np.array(linestring)[:,0],np.array(linestring)[:,1],marker = marker, color = color)
\ No newline at end of file