Spatial Data Calculator
Skip Navigation Links
Home
Point data
NN distances
All distances
Local clustering
Neighbour categories
K(t) and O(r) function
G(r), F(r), J(r) function
Spatial clusters
Thinning
Gaps
Local statistics
Interpolation
Directions
Linear data
Gradient
Line generalization
Statistics along a line
Relationships
Similarity and distance
Non-spatial clusters
Mantel test
Categorical overlay
Variogram
Autocorrelation
Local autocorrelation
Spatial correlation
Local correlation
3D autocorrelation
Non-spatial correlation
Non-spatial regression
Patterns
Random points
Suitability mapping
Frequency
Map sheet
Estonia
Probability
Map sheet
Estonia
kNN
Map sheet
Estonia
dNN
Map sheet
Estonia
SumSim
Map sheet
Estonia
Tests
Univariate sample
Difference tests
χ2 test
Classification
ROC curve
Regions of frequency
Coordinates
This function has been used 245 times
Suitability according to land use and soil
Source data
Input learning cases must be in three columns: 1 or 0 in the first column meaning find site or absence site, X (west-east) coordinate in the second and Y (south-north) coordinate in the third column according to the Lambert-Est coordinate system. Every case must be in a separate row, column separator can be either space, tab or semicolon, decimal separator can be either point or comma. The input cases can be from whole Estonia, the output map is calculated for the map sheet indicated below. The default probability is the proportion of find sites in the learning data. Lines beginning with a character are excluded.
Area borders
E min
E max
N min
N max
Boundaries from data
Estonian boundaries
Map sheet boundaries
Output mapsheet
Land use and soil
Land use only
Soil only
p in combinations
p from marginal distributions
N direction first
E direction first
map background
||
||