Finding the boundary
================================================================================

.. include:: ../../includes/substitutions.rst

.. index:: boundary, QGIS, OGR


This exercise uses PDAL to find a tight-fitting boundary of an aerial scan.
Printing the coordinates of the boundary for the file is quite simple using a
single ``pdal info`` call, but visualizing the boundary is more complicated. To
complete this exercise, we are going to use :ref:`qgis` to view the
boundary, which means we must first install it on our system.

Exercise
--------------------------------------------------------------------------------

.. note::

    We are going to run using the Uncompahgre data in the ``./density``
    directory.

.. code-block:: console

    $ pdal info ./exercises/analysis/density/uncompahgre.laz --boundary
    {
        "boundary":
        {
            "area": 90431700.63,
            "avg_pt_per_sq_unit": 20.23338738,
            "avg_pt_spacing": 2.580181288,
            "boundary": "MULTIPOLYGON (((245561.32 4208409.0,245731.84 4208556.7,246072.88 4208409.0,246371.29 4208630.5,246584.44 4208556.7,246882.84 4208778.2,247095.99 4208704.4,247394.4
            ...

... a giant blizzard of coordinate output scrolls across our terminal. Not very
useful.

Instead, let's generate some kind of vector output we can visualize with
:ref:`qgis`.  The ``pdal tindex`` is the "tile index" command, and it outputs a
vector geometry file for each point cloud file it reads. It generates this
boundary using the same mechanism we invoked above -- :ref:`filters.hexbin`.
We can leverage this capability to output a contiguous boundary of the
``uncompahgre.laz`` file.


.. code-block:: console

    $ pdal tindex create --tindex ./exercises/analysis/boundary/boundary.sqlite \
    --filespec ./exercises/analysis/density/uncompahgre.laz \
    -f SQLite

.. code-block:: doscon

    > pdal tindex create --tindex ./exercises/analysis/boundary/boundary.sqlite ^
    --filespec ./exercises/analysis/density/uncompahgre.laz ^
    -f SQLite

Once we've run the :ref:`tindex_command`, we can now visualize our output.

Open :ref:`qgis` and select `Add Vector Layer`:

.. image:: ../../images/density-add-layer.png
    :target: ../../../_images/density-add-layer.png

Navigate to the ``exercises/analysis/boundary`` directory and
then open the ``boundary.sqlite`` file:

.. image:: ../../images/boundary-qgis-view.png
    :target: ../../../_images/boundary-qgis-view.png

Notes
--------------------------------------------------------------------------------

1. The PDAL boundary computation is an approximation based on a hexagon
   tessellation. It uses the software at http://github.com/hobu/hexer to do
   this task.

2. :ref:`filters.hexbin` can also be used by the :ref:`density_command` to
   generate a tessellated surface. See the :ref:`density` example for
   steps to achieve this.

3. The :ref:`tindex_command` can be used to generate boundaries for large
   collections of data. A boundary-based indexing scheme is commonly used
   in LiDAR processing, and PDAL supports it through the ``tindex``
   application. You can also use this command to merge data together
   (query across boundaries, for example).

.. qgis: https://qgis.org

