AccurAssess 0.2 — QGIS Python Plugins Repository

Version: [561] AccurAssess 0.2

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Changelog

We improve the  performance to work with more registers in vector
files. For example, over two hundred thousand polygons in the map
under assessment.


The difference between both plugins is that Accuracy Assessment only
process the raw matrix and does not take into account the sampling
design used to select the reference data.
AccurAssess carries out a correction of bias of sampling before
computing the accuracy indices (Method of Card 1982).

In brief, Accuracy Assessment will only give correct indices if the
number of reference sample by class is proportional to the area of
each class on the map (e.g. simple random or systematic sampling but
not in case of stratified sampling except the rare case of a
stratification which respects these proportions). AccurAssess correct
the bias of sampling and will give correct results with simple random
and stratified sampling.

Additionally, AccurAssess give the confidence intervals (CI) around
the estimates of accuracy indices and gives corrected estimates of
class area (also with CI).
see the paper for more details:
http://www.hindawi.com/journals/geography/2014/372349/

Approved

yes

Author

jaime

Uploaded

2015-04-14T17:57:25.553811+00:00

Minimum QGIS version

2.0.0

Maximum QGIS version

2.99.0

External dependencies (PIP install string)

None