* [processing] qgis regular points test
* [processing] qgis shape buffer variable tests
* [processing] qgis create grid lines test
* [processing] qgis convert geometry test
* [processing] qgis extract by location test
* [processing] qgis add field test
* [processing] trying to fix travis failing
* [processing] trying to fix travis failing/2
* trying to fix travis failing/3
* [processing] Add new default option "ProjectCrs" to ParameterCrs
* [processing] RegularPoints tests shouldn't rely on iface
* [processing] Fix regular points test
* [processing] RandmPointsExtent new CRS parameter
* [processing] qgis random point in extent test
* [processing] qgis random point in extent test/2
* [processing] remove qgis random point in extent test
* no output random points in extent test
* remove useless output
Because
- OTF reprojection is mature and stable
- Should be no cost when not required - transforms are shortcut
when not required
- Reduces code complexity
- Canvas OTF support was being incorrectly used as a flag for
whether measurements should be made in ellipsoidal mode. Instead
the project's ellipsoid setting should be checked for this.
- Should simplify behavior for new users
features assigned to same color
This is the most cartographically pleasing color arrangement in my
opinion as it creates a nicely distributed set of colors.
When a new color is required, repeat the color assignment process.
This is the fastest part of the algorithm, so there's no noticable
speed drop. Repeating the whole coloring ensures that newly added
colors are properly balanced with respect to other colors, and avoids
the situation where one of the last features to be colored requires
a whole new class to be created, which will only have a few possible
members.
Overall this results in more balanced color assignment.
This mode attempts to assign colors in such a way that the total
area of features assigned to each color class is balanced. It helps
avoid larger features causing a single color class to appear more
dominant on a colored map.
This ports to old (pre 2.0!!) topocolor plugin to processing. It's based
off my beta 2.x fork (never publicly released) which implemented
a bunch of improvements to the algorithm allowing for minimal number
of required colors and also balanced counts of features assigned
each individual color.
** Pretty sure this plugin was highlighted in Victor's presentation
about plugins-which-shouldn't-be-plugins-and-should-be-processing-algs
instead. It's a prime example of a plugin where the amount of code
required for gui+setup exceeded the actual "guts" of the plugin by
a huge factor, and which is much more useful when it can be
integrated into a larger processing model.
If you have a layer with an unknown CRS, this algorithm gives a list
of possible candidate CRSes which the layer could be in.
It allows users to set the area (and corresponding CRS) which they know
the layer should be located near. The algorithm then tests every CRS
in the database to see what candidate CRSes would cause the layer
to be located at that preset area.
It's much faster than it sounds!! (just a couple of seconds)
Sponsored by SMEC/Surbana Jurong
