This algorithm splits features into multiple output features by
splitting a field's value with a specified character.
For instance, if a layer contains features with multiple comma
separated values contained in a single field, this algorithm can
be used to split these values up across multiple output features.
Geometries and other attributes remain unchanged in the output.
Optionally, the separator string can be a regular expression for
added flexibility.
Designed for use in models which need to process input files
with multiple concatenated values in a single attribute, e.g.
geocoding a table with "address1,address2,address3" format strings
Now GDAL algorithms test are splitted into parts: general tests, raster
algorithms and vector algorithms. This makes testing a bit faster and
easier, as there is no need to run not related tests.
This algorithm calculates the area and percentage cover
by which features from an input layer are overlapped by
features from a selection of overlay layers.
New attributes are added to the output layer reporting
the total area of overlap and percentage of the input
feature overlapped by each of the selected overlay layers.
This is quite a common GIS task request, yet is full
of traps for inexperienced users, and the amount of
manual data work usually done by users to calculate
these figures can often lead to mistakes and inaccurate
results. It's nice to have a robust, fast, inbuilt
algorithm which allows this task to be done in a
single step without risk of human error.
There's two motivations for this:
- the existing one was getting massive and took ages to run, which was
a pain when developing. Smaller batches allow just a subset of test to
be run which is much faster.
- There's a random segfault on test exit which occurs on Travis. Rather
then disabling these absolutely critical tests altogether, I'm using
this as a method of bisecting exactly which alg is causing this.
K-nearest neighbour joins from the Processing toolbox!
This algorithm takes an input vector layer and creates a new
vector layer that is an with additional attributes in its attribute table
The additional attributes and their values are taken from a second
vector layer, where features are joined by finding the closest features
from each layer.
By default only the single nearest feature is joined, but optionally
the join can use the n-nearest neighboring features instead.
If a maximum distance is specified, then only features which are
closer than this distance will be matched.
