Cross Validation, Neighborhood Selection, Semivariogram Sensitivity and Subset Features Tools

Cross Validation

How to use Cross Validation Tool in Arc Toolbox ArcMap ArcGIS??

Cross Validation Tool

Path to access the tool

Cross Validation Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox

Cross Validation

Removes one data location then predicts the associated data using the data at the rest of the locations. The primary use for this tool is to compare the predicted value to the observed value in order to obtain useful information about some of your model parameters.

1. Input geostatistical layer

The geostatistical layer to be analyzed.

2. Output point feature class (optional)

Stores the cross-validation statistics at each location in the geostatistical layer.

Neighborhood Selection

How to use Neighborhood Selection Tool in Arc Toolbox ArcMap ArcGIS??

Neighborhood Selection

Path to access the tool

Neighborhood Selection Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox

Neighborhood Selection

Creates a layer of points based on a user-defined neighborhood.

For example, you might wish to create a selection of points in a circular neighborhood around a location defined by the Input point. The illustration above demonstrates that the output will be the 10 points, colored blue, that fall within the circle.

1. Input point features

Points used to create a neighborhood selection.

2. Output layer

Layer to store the neighborhood selection.

3. Input point

The neighborhood center's x,y coordinate.

4. Maximum neighbors to include

The number of points to use in each sector. If a sector has the required number of points, all points in that sector are used.

5. Include at least

The minimum number of points to use in each sector. If the minimum number of required points are not available in any given sector, the nearest available point outside the sector will be selected.

6. Minor semiaxis

Size of the minor semiaxis of the search neighborhood.

7. Major semiaxis

Size of the major semiaxis of the search neighborhood.

8. Angle

The angle of rotation of the neighborhood axis.

9. Shape type (optional)

The geometry of the neighborhood.

ONE_SECTOR — Single ellipse
FOUR_SECTORS — Ellipse divided into four sectors
FOUR_SECTORS_SHIFTED — Ellipse divided into four sectors and shifted 45 degrees
EIGHT_SECTORS — Ellipse divided into eight sectors

Semivariogram Sensitivity

How to use Semivariogram Sensitivity Tool in Arc Toolbox ArcMap ArcGIS??

Semivariogram Sensitivity

Path to access the tool

Semivariogram Sensitivity Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox

Semivariogram Sensitivity

This tool performs a sensitivity analysis on the predicted values and associated standard errors by changing the model's semivariogram parameters (the nugget, partial sill, and major/minor ranges) within a percentage of the original values. The tool takes a geostatistical model source in order to populate these initial values of the nugget, partial sill, and major/minor ranges.

The tool's output is a table indicating which parameter values were used and what the resulting predicted and standard error values were. If there are large fluctuations in the output with small changes in the model's parameter values, then you cannot have much confidence in the output. On the other hand, if changes in the output are small, then you can be confident in the model's predictions and make decisions based on its output.

1. Input geostatistical model source

The geostatistical model source to be analyzed.

Input dataset(s)

Input point observation locations

Output table

Table storing the sensitivity results.

2. Input dataset(s)

The name of the input datasets and field names used in the creation of the output layer.

When checked, the Always reset input datasets when the geostatistical model source changes parameter ensures that when a different geostatistical model source is specified, its associated datasets are automatically inserted into the tool. If unchecked and the geostatistical model source is changed, the displayed input datasets remain unchanged. This can lead to problems if the model is incompatible with the dataset; for example, a model was created to predict temperature, and a new dataset with rainfall data is specified.

3. Input point observation locations

Point locations where the sensitivity analysis is performed.

4. Nugget span (% of model value) (optional)

The percentage subtracted and added to the Nugget parameter to create a range for a subsequent random Nugget parameter selection.

5. Number of calculations for Nugget (optional)

Number of random Nugget values randomly sampled from the Nugget span.

6. Partial Sill span (% of model value) (optional)

Percentage subtracted from and added to the Partial Sill parameter to create a range for a random Partial Sill selection.

7. Number of calculations for Partial Sill (optional)

Number of Partial Sill values randomly sampled from the Partial Sill span.

8. Major Range span (% of model value) (optional)

Percentage subtracted and added to the Major Range parameter to create a range for a random Major Range selection.

9. Number of calculations for Major Range (optional)

Number of Major Range values randomly sampled from the Major Range span.

10. Minor Range span (% of model value) (optional)

Percentage subtracted and added to the Minor Range parameter to create a range for a random Minor Range selection.

11. Number of calculations for Minor Range (optional)

Number of Minor Range values randomly sampled from the Minor Range span.

If Anisotropy has been set in the input geostatistical model source, a value is required.

12. Output table

Table storing the sensitivity results.

Subset Features

How to use Subset Features Tool in Arc Toolbox ArcMap ArcGIS??

Subset Features

Path to access the tool

Subset Features Tool, Utilities Toolset, Geostatistical Analyst Tools Toolbox

Subset Features

Divides the original dataset into two parts: one part to be used to model the spatial structure and produce a surface, the other to be used to compare and validate the output surface.

1. Input features

Points, lines, polygon features, or table from which to create a subset.

2. Output training feature class

The subset of training features to be created.

3. Output test feature class (optional)

The subset of test features to be created.

4. Size of training feature subset (optional)

The size of the output training feature class, entered either as a percentage of the input features or as an absolute number of features.

5. Subset size units (optional)

Type of subset size.

PERCENTAGE_OF_INPUT— The percentage of the input features that will be in the training dataset.
ABSOLUTE_VALUE— The number of features that will be in the training dataset.

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Cross Validation, Neighborhood Selection, Semivariogram Sensitivity and Subset Features

Cross Validation, Neighborhood Selection, Semivariogram Sensitivity and Subset Features Tools