Pitney Bowes MapInfo Professional - Manual (Page 369)

• If the application does not detect the Shapefile's native projection, or there is no matching supported
projection in the MAPINFOW.PRJ file, click Projection to select one and click OK.
• If the application detects a supported projection, MapInfo Professional selects the Use Projection
in Source File radio button and the Projection button is disabled. Do one of the following:
- To use the detected projection, leave Use Projection in Source file selected and continue to
the next step.
- To choose a new projection, click Choose Projection and click the Projection button to select
a supported projection. In the Choose Projection dialog box, the source projection is highlighted.
Select the projection you want and click OK.
If you substitute the Shapefile's native projection with a new one, the application does not
reproject the Shapefile's objects and data using the new projection. Substituting the
Shapefile's projection in this way may produce unexpected results. Note:
8. Select the style and cache options for this file.
• Style - Select any line or region style overrides that are necessary for this image by clicking the
Style button. When you select this option, the appropriate style options dialog box displays.
• Save Object Cache - Select this check box to save the *.MAP file to hard drive. If you choose not
to save the object cache, you will have to recreate the *.MAP file the next time you open the
shapefile file. However, if you are going to save the shapefile as a *.tab file, you do not have to
select the check box.
9. Click OK to create the .tab file and display the Shapefile.
If after you open the shapefile in MapInfo Professional, you edit the file in ESRI ArcView and
save the file, the contents of the *.MAP and *.DAT files are recreated to retain these edits even
if you selected Save Object Cache before. Note:
For more information, see Working with Shapefiles Containing M and Z Values in the Help System.
369 MapInfo Professional User Guide
Chapter 14: Putting Your Data on the Map