diff --git a/2.combine_mask_and_fragmentation_tiles.py b/2.combine_mask_and_fragmentation_tiles.py
deleted file mode 100644
index 16c9cd58984b0a2cd288649d16d08ca3619931f3..0000000000000000000000000000000000000000
--- a/2.combine_mask_and_fragmentation_tiles.py
+++ /dev/null
@@ -1,66 +0,0 @@
-# -*- coding: utf-8 -*-
-"""
-Created on Thu Oct 19 16:25:58 2023
-
-@author: no67wuwu
-
-
-work: combine the rasters to get the final fragmentation with land
-
-"""
-#%%
-import sys
-sys.path.insert(0,r"I:\biocon\Emmanuel_Oceguera\projects\2023_03_NaturaConnect\tools")
-import MacPyver as mp
-#%%
-import os
-from glob import glob
-import numpy as np
-
-frag_path = r"S:\Emmanuel_OcegueraConchas\fragmentation_estonia_test\frag_raster"
-land_path = r"S:\Emmanuel_OcegueraConchas\fragmentation_estonia_test\land_raster"
-out_path = r"S:\Emmanuel_OcegueraConchas\fragmentation_estonia_test\frag_and_land"
-
-# Get a list of tile filenames
-tiles = [x[-15:] for x in glob(frag_path + os.sep + '*.tif')]
-
-for t in tiles:
-    frag_p = frag_path + os.sep + 'frag_tile_' + t
-    land_p = land_path + os.sep + 'mask_tile_' + t
-    
-    frag = mp.raster.tiff.read_tif(frag_p)
-    land = mp.raster.tiff.read_tif(land_p)
-    
-    out = np.where((frag==9) & (land==1), 9, land)
-    
-    mp.raster.tiff.write_tif(frag_p, out_path + os.sep + 'lf_comb_' + t, out, 6, nodata=0, option="COMPRESS=DEFLATE")
-
-#%%
-# # Import necessary libraries
-# import os
-# from glob import glob
-# import numpy as np
-
-# # Define the paths for input rasters and output directory
-# frag_path = r"S:\Emmanuel_OcegueraConchas\Fragmentation\frag_raster"
-# land_path = r"S:\Emmanuel_OcegueraConchas\Fragmentation\land_raster"
-# out_path = r"S:\Emmanuel_OcegueraConchas\Fragmentation\frag_land"
-
-# # Get a list of tile filenames
-# tiles_2 = [os.path.basename(x) for x in glob(os.path.join(frag_path, '*.tif'))]
-
-# # Loop through the tiles and combine the rasters
-# for t in tiles:
-#     frag_p = os.path.join(frag_path, 'frag_tile_' + t)
-#     land_p = os.path.join(land_path, 'mask_tile_' + t)
-#     out_p = os.path.join(out_path, 'lf_comb_' + t)
-
-#     # Read the frag and land rasters
-#     frag = mp.raster.tiff.read_tif(frag_p)
-#     land = mp.raster.tiff.read_tif(land_p)
-
-#     # Combine the rasters
-#     out = np.where((frag == 9) & (land == 1), 9, land)
-
-#     # Write the combined raster to the output directory
-#     mp.raster.tiff.write_tif(frag_p, out_p, out, 6, nodata=0, option="COMPRESS=DEFLATE")