Welcome to FastMapping

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

Data depuration parameters

Global Outliers Options:

Upper and lower threshold boundaries to constrain data within a range of realistic values
Removes all data points which are more than N times the standard deviation from the mean value

Spatial Outliers Options:

Search radius to identify a local neighborhood for each data point

Border Effects:

Remove data points for a given distance from field edges

Select spatial model(s) to fit

Kriging options:

Local neighbourhood selections based on distance as radius (Max.Dist), number of data points (Max, Min), of nearest site of the target point

Fuzzy k-means parameters

Spatial PCA parameters

Neighborhood network

It seems that you want more distance than 1000 m between neighbours... which value do you want?

No depuration process was made.

No interpolation process was made.

Variogram Plot
Key Scale of predicted values
Key Scale of predicted values
Download datasets

No cluster process was made.

Statistical Indices