diff --git a/Longitude Latitude conical converter/lonlat_converter_lambert.py b/Longitude Latitude conical converter/lonlat_converter_lambert.py
new file mode 100644
index 0000000..fb8371e
--- /dev/null
+++ b/Longitude Latitude conical converter/lonlat_converter_lambert.py	
@@ -0,0 +1,35 @@
+from pyproj import Proj
+from shapely.geometry import Point
+from shapely.geometry.polygon import Polygon
+
+# Definition of lambert conical projection.
+lambert = {'proj': 'lcc', # Lambert Conformal Conic 2SP (epsg:9802)
+     'ellps': 'GRS80', #'epsg:7019', #'epsg:9802', # 'epsg:6651',
+     'lon_0': -102.00000000,
+     'lat_0': 12.00000000, # 12° 00’ 0.0’’ N
+     'lat_1': 17.50000000, # 17° 30’ 0.00’’ N
+     'lat_2': 29.50000000, # 29° 30’ 0.00’’ N
+     'x_0': 2500000,
+     'y_0': 0}
+
+prj = Proj(lambert) 
+
+# Coordinates for the city of Monterrey, Nuevo León, México
+
+city = {'c_name': 'Monterrey', 'lon': -100.316116, 'lat': 25.686613}
+
+x, y = prj(city['lon'], city['lat']) 
+
+print('                     X                 Y')
+print(city['c_name'], ':  lon:', city['lon'], '      , lat:', city['lat'])
+print('Lambert function:', x, ',', y)
+print('   Should return: 2668223.843       , 1516271.922') 
+
+# Should return:
+
+"""
+                     X                 Y
+Monterrey :  lon: -100.316116       , lat: 25.686613
+Lambert function: 2668223.842598227 , 1516271.9216458194
+   Should return: 2668223.843       , 1516271.922
+"""
diff --git a/Longitude Latitude conical converter/readme.md b/Longitude Latitude conical converter/readme.md
new file mode 100644
index 0000000..a22092a
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+++ b/Longitude Latitude conical converter/readme.md	
@@ -0,0 +1,21 @@
+## Longitude and Latitude to Conical Converter
+
+This script converts longitude and latitude to [Lambert conformal conic projection](https://en.wikipedia.org/wiki/Lambert_conformal_conic_projection).
+The example used is for Mexico, under International Terrestrial Reference Frame 2008, which uses Lambert Conformal Conic projection 2SP (epsg:9802). 
+
+This script is useful to combine census and geographic data, with traditional Longitude and Latitude from the more international frame of reference.
+
+For more reference, see [National Geography institute explanatory PDF](https://www.inegi.org.mx/contenidos/temas/MapaDigital/Doc/asignar_sistema_coordenadas.pdf)
+and [Pyproj, Lambert projections](https://proj.org/operations/projections/lcc.html).
+
+## Prerequisites
+- Python 3.x installed on your machine.
+
+## Dependencies
+The script requires the following Python libraries:
+`pyproj`
+`shapely`
+
+You can install the required library using pip:
+`pip install pyproj`
+`pip install shapely`
diff --git a/README.md b/README.md
index 94f4246..2666698 100644
--- a/README.md
+++ b/README.md
@@ -88,6 +88,7 @@ More information on contributing and the general code of conduct for discussion
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+| Longitude & Latitude to conical coverter | [Longitude Latitude conical converter](master/Longitude%20Latitude%20conical%20converter)                                                       | Converts Longitude and Latitude to Lambert conformal conic projection.        |
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