@davidhassell commented on this pull request.


> +contain discontinuities. A discontinuity could be an overlap or a gap
+in the coordinates' coverage, or a change in cell size or cell
+alignment. As an example, such discontinuities are common in remote
+sensing data and may be caused by combinations of the instrument scan
+motion, the motion of the sensor platform and changes in the
+instrument scan mode. When discontinuities are present, the domain is
+first divided into multiple __continuous areas__, each of which is
+free of discontinuities. When no discontinuities are present, the
+whole domain is a single continuous area. Following this step, each
+continuous area is segmented into interpolation subareas. The
+processes of generating interpolation subareas for a domain without
+discontinuities and for a domain with discontinuities is illustrated
+in <<interpolation_subarea_generation>>, and described in more detail in
+<<Appendix J>>.
+
+For each __interpolated dimension__, i.e. a target domain dimension for which 
coordinate interpolation is required, the locations of the tie point 
coordinates are defined by a corresponding __tie point index variable__, which 
also indicates the location of the continuous areas 
(<<compression-by-coordinate-sampling-tie-point-index-mapping>>).

```suggestion
For each __interpolated dimension__, i.e. a target domain dimension for which 
coordinate interpolation is required, the locations of the tie point 
coordinates are defined by a corresponding __tie point index variable__, which 
also indicates the locations of the continuous areas 
(<<compression-by-coordinate-sampling-tie-point-index-mapping>>).
```

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