3D Geospatial Data Quality


Introduction

Standards or other recommendations generally try to improve quality of all things which are related
to geospatial topic. In geospatial world there have been many types of standards published
[reviewer21] by different organizations. These documents usually specify some recommendations,
requirements or conventions which should ensure that target of product, system, data etc. fit its
purpose. One of these specific terms is data quality.

Geospatial data quality is term which become more important nowadays because there [DEL: are :DEL]
exist many technologies how obtain large amount of data. However, it is important ensure
appropriate quality hand in hand with amount. Several standards deal with the data quality for
example ISO 19113, ISO 19138 etc. The term related with data quality is data quality measures. In
ISO 19113 [reviewer22] for example we generally distinguish several measures – completeness,
logical consistency, positional accuracy, temporal accuracy or thematic accuracy for geospatial
data. However, the main issue which define my topic is how it is possible to apply data quality
measures for three-dimensional geospatial data.

The difficulty of defining quality measures in 3D [reviewer23] is that there haven't been
satisfying works on this topic. This is because the spatial data display has been a domain of
classical two-dimensional visualization for centuries. However, there are some projects that might
focus to 3D data quality for example 3D cadastral. Also, the ISPRS (International Society for
Photogrammetry and Remote Sensing) organize International Symposium on Spatial Data Quality (ISSDQ)
within ISPRS Geospatial Week where are number of workshops and symposiums every two years.

The reason why we should aim to three-dimensional geospatial data is that third dimension brings a
new point of view. Because current recommendations or standards mostly come from classical
visualization of geospatial data which more focus on ‘description quality’. Description quality
means it is important describe detailed all features out of the visualization because in classical
visualization too many texts cause messy and misunderstanding in users. This quality is efficient
and effective in data storage but can be unfriendly to users. The advantage of 3D visualization is
that it more focus on aspects of ‘visual quality’ and ‘user quality’. Visual quality means the
measure of information which visualization carries. For example, in 3D you can see that the house
has four floors, red roof, white windows etc. This is the information that classical visualization
can never shows. User quality aspect means that the measure of usability for user. For example, in
city navigating where are many visual clues is 3D visualization more understandable that simple
symbols.

When we aim on current quality measures, we can see that many of them is applicable on 3D, for
example positional accuracy, completeness etc. However, there can different level of importance
between 2D and 3D and there can be some aspects which are associated only with 3D. For example,
Degree of perception, Level of detail etc. When we define all those measures, we can evaluate 3D
geospatial data quality more effectiveness and it can improve 3D geospatial data quality
generally.[INS: :INS]

[INS: Research questions??
Proposed methodology?? :INS]

[INS: Expeceted results? :INS]
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 [reviewer21]Review the differences among standard, norm, recommendation, and specification. That
is something you should be aware of. These terms have semantics behind J


 [reviewer22]CHeck for update – what about 19157?

 [reviewer23]When speaking about the quality measures in 3D you must quote some references. It is
inadmissible to omit it. Where is the grounding of your statements?