Triangulated Irregular Network based transformation¶
New in version 7.2.0.
Alias |
tinshift |
Input type |
Projected or geographic coordinates (horizontal), meters (vertical) |
Output type |
Projected or geographic coordinates (horizontal), meters (vertical) |
Domain |
2D or 3D |
Available forms |
Forward and inverse |
The tinshift
transformation takes one mandatory
argument, file
, that points to a JSON file, which contains the
triangulation and associated metadata. Input and output coordinates must be
geographic or projected coordinates.
Depending on the content of the JSON file, horizontal, vertical or both
components of the coordinates may be transformed.
The transformation is invertible, with the same computational complexity than the forward transformation.
Example¶
Transformating a point with the Finland EPSG:2393 (“KKJ / Finland Uniform Coordinate System”) projected CRS to EPSG:3067 (“ETRS89 / TM35FIN(E,N)”)
$ echo 3210000.0000 6700000.0000 0 2020 | cct +proj=tinshift +file=./triangulation_kkj.json
209948.3217 6697187.0009 0.0000 2020
Algorithm¶
Internally, tinshift
ingest the whole file into memory. It is considered that
triangulation should be small enough for that.
When a point is transformed, one must find the triangle into which it falls into. Instead of iterating over all triangles, we build a in-memory quadtree to speed-up the identification of candidates triangles.
To determine if a point falls into a triangle, one computes its 3 barycentric coordinates from its projected coordinates, \(\lambda_i\) for \(i=1,2,3\). They are real values (in the [0,1] range for a point inside the triangle), giving the weight of each of the 3 vertices of the triangles.
Once those weights are known, interpolating the target horizontal coordinate is a matter of doing the linear combination of those weights with the target horizontal coordinates at the 3 vertices of the triangle (\(Xt_i\) and \(Yt_i\)):
This interpolation is exact at the vertices of the triangulation, and has linear properties inside each triangle. It is completely equivalent to other formulations of triangular interpolation, such as
where the A, B, C, D, E, F constants (for a given triangle) are found by solving the 2 systems of 3 linear equations, constraint by the source and target coordinate pairs of the 3 vertices of the triangle:
Similarly for a vertical coordinate transformation, where \(Zoff_i\) is the vertical offset at each vertex of the triangle:
Constraints on the triangulation¶
No check is done on the consistence of the triangulation. It is highly recommended that triangles do not overlap each other (when considering the source coordinates or the forward transformation, or the target coordinates for the inverse transformation), otherwise which triangle will be selected is unspecified. Besides that, the triangulation does not need to have particular properties (like being a Delaunay triangulation)
File format¶
The triangulation is stored in a text-based format, using JSON as a serialization.
Below a minimal example, from the KKJ to ETRS89 transformation, with just a single triangle:
{
"file_type": "triangulation_file",
"format_version": "1.0",
"name": "Name",
"version": "Version",
"publication_date": "2018-07-01T00:00:00Z",
"license": "Creative Commons Attribution 4.0 International",
"description": "Test triangulation",
"authority": {
"name": "Authority name",
"url": "http://example.com",
"address": "Adress",
"email": "test@example.com"
},
"links": [
{
"href": "https://example.com/about.html",
"rel": "about",
"type": "text/html",
"title": "About"
},
{
"href": "https://example.com/download",
"rel": "source",
"type": "application/zip",
"title": "Authoritative source"
},
{
"href": "https://creativecommons.org/licenses/by/4.0/",
"rel": "license",
"type": "text/html",
"title": "Creative Commons Attribution 4.0 International license"
},
{
"href": "https://example.com/metadata.xml",
"rel": "metadata",
"type": "application/xml",
"title": " ISO 19115 XML encoded metadata regarding the deformation model"
}
],
"transformed_components": [ "horizontal" ],
"vertices_columns": [ "source_x", "source_y", "target_x", "target_y" ],
"triangles_columns": [ "idx_vertex1", "idx_vertex2", "idx_vertex3" ],
"vertices": [ [2,49,2.1,49.1], [3,50,3.1,50.1], [2, 50, 2.1,50.1] ],
"triangles": [ [0, 1, 2] ]
}
So after the generic metadata, we define the input and output CRS (informative
only), and that the transformation affects horizontal components of
coordinates. We name the columns of the vertices
and triangles
arrays.
We defined the source and target coordinates of each vertex, and define a
triangle by referring to the index of its vertices in the vertices
array.
More formally, the specific items for the triangulation file are:
- input_crs
String identifying the CRS of source coordinates in the vertices. Typically
EPSG:XXXX
. If the transformation is for vertical component, this should be the code for a compound CRS (can be EPSG:XXXX+YYYY where XXXX is the code of the horizontal CRS and YYYY the code of the vertical CRS). For example, for the KKJ->ETRS89 transformation, this is EPSG:2393 (KKJ / Finland Uniform Coordinate System
). The input coordinates are assumed to be passed in the “normalized for visualisation” / “GIS friendly” order, that is longitude, latitude for geographic coordinates and easting, northing for projected coordinates.- output_crs
String identifying the CRS of target coordinates in the vertices. Typically
EPSG:XXXX
. If the transformation is for vertical component, this should be the code for a compound CRS (can be EPSG:XXXX+YYYY where XXXX is the code of the horizontal CRS and YYYY the code of the vertical CRS). For example, for the KKJ->ETRS89 transformation, this is EPSG:3067 ("ETRS89 / TM35FIN(E,N)"). The output coordinates will be returned in the “normalized for visualisation” / “GIS friendly” order, that is longitude, latitude for geographic coordinates and easting, northing for projected coordinates.- transformed_components
Array which may contain one or two strings: “horizontal” when horizontal components of the coordinates are transformed and/or “vertical” when the vertical component is transformed.
- vertices_columns
Specify the name of the columns of the rows in the
vertices
array. There must be exactly as many elements invertices_columns
as in a row ofvertices
. The following names have a special meaning:source_x
,source_y
,target_x
,target_y
,source_z
,target_z
andoffset_z
.source_x
andsource_y
are compulsory.source_x
is for the source longitude (in degree) or easting.source_y
is for the source latitude (in degree) or northing.target_x
andtarget_y
are compulsory whenhorizontal
is specified intransformed_components
. (source_z
andtarget_z
) oroffset_z
are compulsory whenvertical
is specified intransformed_components
- triangles_columns
Specify the name of the columns of the rows in the
triangles
array. There must be exactly as many elements intriangles_columns
as in a row oftriangles
. The following names have a special meaning:idx_vertex1
,idx_vertex2
,idx_vertex3
. They are compulsory.- vertices
An array whose items are themselves arrays with as many columns as described in
vertices_columns
.- triangles
An array whose items are themselves arrays with as many columns as described in
triangles_columns
. The value of theidx_vertexN
columns must be indices (between 0 and len(vertices
-1) of items of thevertices
array.
A JSON schema is available for this file format.