@davidhassell commented on this pull request.
> + Tie Point Dimension Mapping
+
+The **`tie_point_mapping`** attribute defined above associates
+each interpolated dimension with its corresponding subsampled
+ dimension and, if required, its corresponding
+ __interpolation subarea
We may be solving a problem here before it arises. From this arises the danger
that we'll solve a problem that won't arise, or that we'll solve it in a way
that's not as useful as it could be!
It seems that computational precision is neither sufficient to describe the
actual target, which is
Dear All,
Regarding the wording of the section on computational precision attribute, I
have reservations with respect to the direction it has taken and I suggest we
discuss the matter during our meting this afternoon.
It is essential to the value and usability of the of the _Lossy Compression
@AndersMS pushed 1 commit.
cb91ac0e6885b578c2afefe8439f87b8ccaec2b8 Update ch08.adoc
--
You are receiving this because you are subscribed to this thread.
View it on GitHub:
@AndersMS pushed 1 commit.
5ddda3be5c4de9e0914bc8eb42c4c65dd81ae95d Update ch08.adoc
--
You are receiving this because you are subscribed to this thread.
View it on GitHub:
@davidhassell commented on this pull request.
> +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
@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
