Tools for univariate analysis:
-
Depuration
- Global outliers
- Spatial outliers
- Border effects
-
Spatial interpolation
- Variogram fitting
- Kriging prediction
-
Classification
- Fuzzy k-means cluster
Example dataset:
Tools for multivariate analysis:
- Spatial Principal Components
- Fuzzy k-means on spatial principal components (KM-sPC)
Example dataset:
The User Interface and some other functionalities were changed. If you detect something strange while using the software, please let us know at fastmapping@agro.unc.edu.ar.
FastMapping can read vector data (.gpkg, and .shp, among others). Spatial file format is prefered instead of csv.
We have a new installer (only for windows) you can download it from here
If you have any question please write to fastmapping@agro.unc.edu.ar, brief tutorial is available in this link.
You can create an issue or a bug report at github. Also, you can send us an email.
Citation: Paccioretti, P., Córdoba, M., & Balzarini, M. (2020). FastMapping: Software to create field maps and identify management zones in precision agriculture. In Computers and Electronics in Agriculture (Vol. 175, p. 105556). Elsevier BV. https://doi.org/10.1016/j.compag.2020.105556
Package version: 0.0.0.9005