Band Collection Statistics, Class Probability, Create and Edit Signatures, Dendrogram, Iso Cluster Tools
Band Collection Statistics
How to use Band Collection
Statistics Tool in Arc Toolbox??
Band Collection Statistics
Path to access the tool
:
Band
Collection Statistics Tool, Multivariate Toolset, Spatial Analyst Tools Toolbox
Band Collection Statistics
Calculates the
statistics for a set of raster bands.
1. Input raster bands
The input raster bands.
They can be integer or
floating-point type.
2. Output statistics file
The output ASCII file
containing the statistics.
A .txt extension is
required.
3. Compute covariance and correlation matrices (optional) (اختياري)
Specifies whether covariance and correlation matrices are calculated.
- Unchecked—Only the basic statistical measures (minimum, maximum, mean, and standard deviation) will be calculated for every layer. This is the default.
- Checked—In addition to the standard statistics calculated, the covariance and correlation matrices will also be determined.
Class Probability
How to use Class Probability Tool in Arc Toolbox??
Class Probability
:
Class
Probability Tool, Multivariate Toolset, Spatial Analyst Tools Toolbox
Class Probability
Creates a multiband
raster of probability bands, with one band being created for each class
represented in the input signature file.
1. Input raster bands
The input raster bands.
They can be integer or
floating point type.
2. Input signature file
Input signature file
whose class signatures are used to generate the a priori probability bands.
A .gsg extension is
required.
3. Output multiband raster
The output multiband
raster dataset.
It will be of integer
type.
If the output is an Esri
Grid, the filename cannot have more than 9 characters.
4. Maximum output value (optional)
Factor for scaling the
range of values in the output probability bands.
By default, the values
range from 0 to 100.
5. A priori probability weighting (optional)
Specifies how a priori probabilities will be determined.
- EQUAL— All classes will have the same a priori probability.
- SAMPLE— A priori probabilities will be proportional to the number of cells in each class relative to the total number of cells sampled in all classes in the signature file.
- FILE—The a priori probabilities will be assigned to each class from an input ASCII a priori probability file.
6. Input a priori probability file (optional)
A text file containing a priori probabilities for the input
signature classes.
An input for the a priori probability file is only required when
the FILE option is used.
The extension for the a priori file can be .txt or .asc.
Create Signatures
How to use Create
Signatures Tool in Arc Toolbox??
Create Signatures
Path to access the tool
:
Create
Signatures Tool, Multivariate Toolset, Spatial Analyst Tools Toolbox
Create Signatures
Creates an ASCII
signature file of classes defined by input sample data and a set of raster
bands.
1. Input raster bands
The input raster bands
for which to create the signatures.
They can be integer or
floating point type.
2. Input raster or feature sample data
The input delineating
the set of class samples.
The input can be an
integer raster or a feature dataset.
3. Sample field (optional)
Field of the input
raster or feature sample data to assign values to the sampled locations
(classes).
Only integer or string
fields are valid fields. The specified number or string will be used as the
Class name in the output signature file.
4. Output signature file
The output signature
file.
A .gsg extension must be
specified.
5. Compute covariance matrices (optional)
Specifies whether covariance matrices in addition to the means are calculated.
- Checked—Both the covariance matrices and the means for all classes of the input sample data will be computed. This is the default.
- Unchecked—Only the means for all classes of the input sample data will be calculated.
Dendrogram
How to use Dendrogram Tool in Arc Toolbox??
Dendrogram Tool
Path to access the tool
:
Dendrogram Tool, Multivariate Toolset,
Spatial Analyst Tools Toolbox
Dendrogram
Constructs a tree
diagram (dendrogram) showing attribute distances between sequentially merged
classes in a signature file.
1. Input signature file
Input signature file
whose class signatures are used to produce a dendrogram.
A .gsg extension is
required.
2. Output dendrogram file
The output dendrogram
ASCII file.
The extension can be
.txt or .asc.
3. Use variance in distance calculations (optional)
Specifies the manner in which the distances between classes in multidimensional attribute space are defined.
- Checked—The distances between classes will be computed based on the variances and the Euclidean distance between the means of their signatures.
- Unchecked—The distances between classes will be determined by the Euclidean distances between the means of the class signatures only.
4. Line width of dendrogram (optional)
Sets the width of the
dendrogram in number of characters on a line.
The default is 78.
Edit Signatures
How to use Edit Signatures Tool in Arc Toolbox??
Edit Signatures
Path to access the tool
:
Edit
Signatures Tool, Multivariate Toolset, Spatial Analyst Tools Toolbox
Edit Signatures
Edits and updates a
signature file by merging, renumbering, and deleting class signatures.
1. Input raster bands
The input raster bands
for which to edit the signatures.
They can be integer or
floating point type.
2. Input signature file
Input signature file
whose class signatures are to be edited.
A .gsg extension is
required.
3. Input signature remap file
Input ASCII remap table
containing the class IDs to be merged, renumbered, or deleted.
The extension can be
.rmp, .asc or .txt. The default is .rmp.
4. Output signature file
The output signature
file.
A .gsg extension must be
specified.
5. Sample interval (optional)
The interval to be used
for sampling.
The default is 10.
Iso Cluster
How to use Iso Cluster Tool in Arc Toolbox??
Iso Cluster
Path to access the tool
:
Iso
Cluster Tool, Multivariate Toolset,
Spatial Analyst Tools Toolbox
Iso Cluster
Uses an isodata
clustering algorithm to determine the characteristics of the natural groupings
of cells in multidimensional attribute space and stores the results in an
output ASCII signature file.
1. Input raster bands
The input raster bands.
They can be integer or
floating point type.
2. Output signature file
The output signature
file.
A .gsg extension must be
specified.
3. Number of classes
Number of classes into which to group the cells.
4. Number of iterations (optional)
Number of iterations of
the clustering process to run.
The default is 20.
5. Minimum class size (optional)
Minimum number of cells
in a valid class.
The default is 20.
6. Sample interval (optional)
The interval to be used
for sampling.
The default is 10.
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