implement interpolation for numeric and geographic data
add is as editor action to apply directly to a datasets' data
enforce upper limit of visualization complexity
making sure visualization rendering in clients isn't too computationally intensive
* includes client-side performance
* reduces resulting filesize
* decreases ecological imact
automatically interpolate visualized data
if it exceeds some configurable number of visualized points
either visualized numerical observations or
sum number of points in in visualized geodata columns)
add interpolation data into visualizations, so readers are aware
a visualization is not "lossless"
* implement interpolation for numeric and geographic data
* add is as editor action to apply directly to a datasets' data
* enforce upper limit of visualization complexity
* making sure visualization rendering in clients isn't too computationally intensive
* includes client-side performance
* reduces resulting filesize
* decreases ecological imact
* automatically interpolate visualized data
* *if* it exceeds some configurable number of visualized points
* either visualized numerical observations **or**
* sum number of points in in visualized geodata columns)
* add interpolation data into visualizations, so readers are aware
a visualization is not "lossless"
phryk
added this to the 0.0.0.1-alpha milestone 1 year ago
* includes client-side performance
* reduces resulting filesize
* decreases ecological imact
a visualization is not "lossless"