I have two INEGI shapefiles from Mexico (2000 and 2010) that I want to line up with one another. The 2010 file projects in the right location and I would like the 2000 file to match/line up with the 2010 one. The shapefiles contain various cities in Mexico - some line up almost identically (see example of Minatitlan) while others are dramatically different (see example below of Tetepango).

I originally posted a question about getting data from 2000 to project in the correct location in Mexico, which made the cities are least be in the generally correction location! See the response here: Projecting INEGI shapefiles from Mexico

What can I do to make the 2000 file match/line up with the 2010 one?

2010/2000 Data Source: Projected Coordinate System: Conica Conforme de Lambert Projection: Lambert_Conformal_Conic False_Easting: 2500000.00000000 False_Northing: 0.00000000 Central_Meridian: -102.00000000 Standard_Parallel_1: 17.50000000 Standard_Parallel_2: 29.50000000 Scale_Factor: 1.00000000 Latitude_Of_Origin: 12.00000000 Linear Unit: Meter

Geographic Coordinate System: ITRF92 Datum: D_GRS_1980 Prime Meridian: Greenwich Angular Unit: Degree

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  • I would not count this as duplicate post. INEGI data has changed over the years and I was hoping that some researchers who are used to using this type of data or know the format it comes in may have a suggestion as to what to do to make the various cities match better. Thank you. – user32636 Aug 13 '14 at 15:20

If your efforts defining projections and/or projecting your datasets have not produced a satisfactory result then I think that you should investigate spatial adjustment rubbersheeting:

Geometric distortions commonly occur in source maps. They may be introduced by imperfect registration in map compilation, lack of geodetic control in source data, or a variety of other causes. Rubbersheeting is used to make small geometric adjustments in your data—usually to align features with more accurate information.

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