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<h1>UK .NTF</h1>
The National Transfer Format, mostly used by the UK Ordnance Survey,
is supported for read access.<p>
This driver treats a directory as a dataset and attempts to merge all the .NTF
files in the directory, producing a layer for each type of feature (but
generally not for each source file). Thus a directory containing several
Landline files will have three layers (LANDLINE_POINT, LANDLINE_LINE and
LANDLINE_NAME) regardless of the number of landline files.<p>
NTF features are always returned with the British National Grid coordinate
system. This may be inappropriate for NTF files written by organizations other
than the UK Ordnance Survey.<P>
<h3>See Also</h3>
<ul>
<li> <a href="http://home.gdal.org/projects/ntf/index.html">General UK NTF
Information</a><p>
</ul>
<hr>
<h2>Implementation Notes</h2>
<h3>Products (and Layers) Supported</h3>
<pre>
Landline (and Landline Plus):
LANDLINE_POINT
LANDLINE_LINE
LANDLINE_NAME
Panorama Contours:
PANORAMA_POINT
PANORAMA_CONTOUR
HEIGHT attribute holds elevation.
Strategi:
STRATEGI_POINT
STRATEGI_LINE
STRATEGI_TEXT
STRATEGI_NODE
Meridian:
MERIDIAN_POINT
MERIDIAN_LINE
MERIDIAN_TEXT
MERIDIAN_NODE
Boundaryline:
BOUNDARYLINE_LINK
BOUNDARYLINE_POLY
BOUNDARYLINE_COLLECTIONS
The _POLY layer has links to links allowing true polygons to
be formed (otherwise the _POLY's only have a seed point for geometry.
The collections are collections of polygons (also without geometry
as read). This is the only product from which polygons can be
constructed.
BaseData.GB:
BASEDATA_POINT
BASEDATA_LINE
BASEDATA_TEXT
BASEDATA_NODE
OSCAR Asset/Traffic:
OSCAR_POINT
OSCAR_LINE
OSCAR_NODE
OSCAR Network:
OSCAR_NETWORK_POINT
OSCAR_NETWORK_LINE
OSCAR_NETWORK_NODE
Address Point:
ADDRESS_POINT
Code Point:
CODE_POINT
Code Point Plus:
CODE_POINT_PLUS
</pre>
The dataset as a whole will also have a FEATURE_CLASSES layer containing a
pure table relating FEAT_CODE numbers with feature class names (FC_NAME).
This applies to all products in the dataset. A few layer types (such as
the Code Point, and Address Point products) don't include feature classes.
Some products use features classes that are not defined in the file, and
so they will not appear in the FEATURE_CLASSES layer. <p>
<h3>Product Schemas</h3>
The approach taken in this reader is to treat one file, or a directory
of files as a single dataset. All files in the dataset are scanned on
open. For each particular product (listed above) a set of layers are
created; however, these layers may be extracted from several files of the
same product. <p>
The layers are based on a low level feature type in the NTF file, but will
generally contain features of many different feature codes (FEAT_CODE
attribute). Different features within a given layer may have a variety of
attributes in the file; however, the schema is established based on the
union of all attributes possible within features of a particular type
(ie. POINT) of that product family (ie. OSCAR Network).<p>
If an NTF product is read that doesn't match one of the known schema's
it will go through a different generic handler which has only
layers of type GENERIC_POINT and GENERIC_LINE. The features only have
a FEAT_CODE attribute. <p>
Details of what layers of what products have what attributes can be found
in the NTFFileReader::EstablishLayers() method at the end of ntf_estlayers.cpp.
This file also contains all the product specific translation code. <p>
<h3>Special Attributes</h3>
<pre>
FEAT_CODE: General feature code integer, can be used to lookup a name in the
FEATURE_CLASSES layer/table.
TEXT_ID/POINT_ID/LINE_ID/NAME_ID/COLL_ID/POLY_ID/GEOM_ID:
Unique identifier for a feature of the appropriate type.
TILE_REF: All layers (except FEATURE_CLASSES) contain a TILE_REF attribute
which indicates which tile (file) the features came from. Generally
speaking the id numbers are only unique within the tile and so
the TILE_REF can be used restrict id links within features from
the same file.
FONT/TEXT_HT/DIG_POSTN/ORIENT:
Detailed information on the font, text height, digitizing position,
and orientation of text or name objects. Review the OS product
manuals to understand the units, and meaning of these codes.
GEOM_ID_OF_POINT:
For _NODE features this defines the POINT_ID of the point layer object
to which this node corresponds. Generally speaking the nodes don't
carry a geometry of their own. The node must be related to a point
to establish it's position.
GEOM_ID_OF_LINK:
A _list_ of _LINK or _LINE features to end/start at a node. Nodes,
and this field are generally only of value when establishing
connectivity of line features for network analysis. Note that this
should be related to the target features GEOM_ID, not it's LINE_ID.
On the BOUNDARYLINE_POLY layer this attribute contains the GEOM_IDs
of the lines which form the edge of the polygon.
POLY_ID:
A list of POLY_ID's from the BOUNDARYLINE_POLY layer associated with
a given collection in the BOUNDARYLINE_COLLECTIONS layer.
</pre>
<h3>Generic Products</h3>
In situations where a file is not identified as being part of an existing
known product it will be treated generically. In this case the entire dataset
is scanned to establish what features have what attributes. Because of this,
opening a generic dataset can be much slower than opening a recognised dataset.
Based on this scan a list of generic features (layers) are defined from the
following set:<p>
<pre>
GENERIC_POINT
GENERIC_LINE
GENERIC_NAME
GENERIC_TEXT
GENERIC_POLY
GENERIC_NODE
GENERIC_COLLECTION
</pre>
Generic products are primarily handled by the ntf_generic.cpp module whereas
specific products are handled in ntf_estlayers.cpp. <p>
Because some data products (OSNI datasets) not from the Ordnance Survey
were found to have record groups in unusual orders compared to what the
UK Ordnance Survey does, it was found necessary to cache all the records of
level 3 and higher generic products, and construct record groups by id
reference from within this cache rather than depending on convenient record
orderings. This is accomplished by the NTFFileReader "indexing" capability
near the bottom of ntffilereader.cpp. Because of this in memory indexing
accessing generic datasets can be much more memory intensive than accessing
known data products, though it isn't necessary for generic level 1 and 2
products. <p>
It is possible to force a known product to be treated as generic by setting
the FORCE_GENERIC option to "ON" using OGRNTFDataSource::SetOptionsList() as
is demonstrated in ntfdump.cpp. This may also be accomplished from
outside OGR applications by setting the OGR_NTF_OPTIONS environment
variable to "FORCE_GENERIC=ON".<p>
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