relationalObjectFunction: Calculation of object relations

In ggRaver/Lslide: Functions for object-oriented image analysis in landslide science

Calculation of object relations

Description

This function calculates statistics of SpatialPolygonsDataFrame object relations

Usage

relationalObjectFunction(spdf, nb, var, quiet = TRUE)

Arguments

spdf	SpatialPolygonsDataFrame, or full path of a shapefile
nb	object neighborhood based on poly2nb
var	vector with number or name defining 1. field of evaluation (i.e. slope) and 2. field of weights (i.e. area). For example: c("Slope", "Area") or c(1,2)
quiet	no outputs in console. Default: TRUE

Value

data.frame containing object statistics

Note

• relational object statistics according to ECOGNITION DEVELOPER (2014: 253-255):

  • m_wei - mean value of selected features of an object and its neighbors (of a selected class, see). For averaging, the feature values are weighted with the area of the objects.

  • sd_nb - standard deviation of selected features of an object and its neighbors It is also possible to calculate this feature with respect to a class, see

  • m_dif - mean difference between the feature value of an object and its neighbors (of a selected class, see) The feature values are weighted by the area of the respective objects

  • m_dif_abs - mean absolute difference

  • m_dif_hv - mean difference between the feature value of an object and the feature values of its neighbors (of a selected class, see), which have higher values than the object itself. The feature values are weighted by the area of the respective objects

  • m_dif_lw - mean difference between the feature value of an object and the feature values of its neighbors (of a selected class, see), which have lower values than the object itself. The feature values are weighted by the area of the respective objects

  • ratio_nb - proportion between the feature value of an object and the mean feature value of its neighbors (of a selected class, see) For averaging the feature values are weighted with the area of the corresponding objects

  • sum_nb - sum of the feature values of the neighbors (of a selected class, see )

  • num_nb - number of neighbors of (of a selected class, see )

  • min_nb - minimum value of the feature values of an object and its neighbors (of a selected class, see)

  • max_nb - maximum value of the feature values of an object and its neighbors (of a selected class, see)

• ECOGNITION DEVELOPER (2014) Reference Book. Trimble Documentation, München, Germany

ggRaver/Lslide documentation built on April 8, 2022, 7:14 a.m.