Generates basic statistics for a field of the attribute table of a vector layer.
Numeric, date, time and string fields are supported.
The statistics returned will depend on the field type.
Statistics are generated as an HTML file and are available in the
.Default menu
:
Label  Name  Type  Description 

Input vector  INPUT_LAYER 
[vector: any]  Vector layer to calculate the statistics on 
Field to calculate statistics on  FIELD_NAME 
[tablefield: any]  Any supported table field to calculate the statistics 
Statistics  OUTPUT_HTML_FILE 
[file]  HTML file for the calculated statistics 
Label  Name  Type  Description 

Statistics  OUTPUT_HTML_FILE 
[file]  HTML file with the calculated statistics 
Count  COUNT 
[number]  
Number of unique values  UNIQUE 
[number]  
Number of empty (null) values  EMPTY 
[number]  
Number of nonempty values  FILLED 
[number]  
Minimum value  MIN 
[number]  
Maximum value  MAX 
[number]  
Minimum length  MIN_LENGTH 
[number]  
Maximum length  MAX_LENGTH 
[number]  
Mean length  MEAN_LENGTH 
[number]  
Coefficient of Variation  CV 
[number]  
Sum  SUM 
[number]  
Mean value  MEAN 
[number]  
Standard deviation  STD_DEV 
[number]  
Range  RANGE 
[number]  
Median  MEDIAN 
[number]  
Minority (rarest occurring value)  MINORITY 
[number]  
Majority (most frequently occurring value)  MAJORITY 
[number]  
First quartile  FIRSTQUARTILE 
[number]  
Third quartile  THIRDQUARTILE 
[number]  
Interquartile Range (IQR)  IQR 
[number] 
Takes a point and a polygon layer and counts the number of points from the first one in each polygon of the second one.
A new polygons layer is generated, with the exact same content as the input polygons layer, but containing an additional field with the points count corresponding to each polygon.
An optional weight field can be used to assign weights to each point. Alternatively, a unique class field can be specified. If both options are used, the weight field will take precedence and the unique class field will be ignored.
Default menu
:
Label  Name  Type  Description 

Polygons  POLYGONS 
[vector: polygon]  Polygon layer whose features are associated with the count of points they contain 
Points  POINTS 
[vector: point]  Point layer with features to count 
Weight field Optional 
WEIGHT 
[tablefield: any]  A field from the point layer.
The count generated will be the sum of the weight field of the
points contained by the polygon.
If the weight field is not numeric, the count will be 0 . 
Class field Optional 
CLASSFIELD 
[tablefield: any]  Points are classified based on the selected attribute and if several points with the same attribute value are within the polygon, only one of them is counted. The final count of the points in a polygon is, therefore, the count of different classes that are found in it. 
Count field name  FIELD 
[string] Default: ‘NUMPOINTS’ 
The name of the field to store the count of points 
Count  OUTPUT 
[vector: polygon]  Specification of the output layer 
Label  Name  Type  Description 

Count  OUTPUT 
[vector: polygon]  Resulting layer with the attribute table containing the new column with the points count 
Clusters point features based on a 2D implementation of Densitybased spatial clustering of applications with noise (DBSCAN) algorithm.
The algorithm requires two parameters, a minimum cluster size, and the maximum distance allowed between clustered points.
Label  Name  Type  Description 

Input layer  INPUT 
[vector: point]  Layer to analyze 
Minimum cluster size  MIN_SIZE 
[number] Default: 5 
Minimum number of features to generate a cluster 
Maximum distance between clustered points  EPS 
[number] Default: 1.0 
Distance beyond which two features can not belong to the same cluster (eps) 
Cluster field name  FIELD_NAME 
[string] Default: ‘CLUSTER_ID’ 
Name of the field where the associated cluster number shall be stored 
Treat border points as noise (DBSCAN*) Optional 
DBSCAN* 
[boolean] Default: False 
If checked, points on the border of a cluster are themselves treated as unclustered points, and only points in the interior of a cluster are tagged as clustered. 
Clusters  OUTPUT 
[vector: point]  Vector layer for the result of the clustering 
Label  Name  Type  Description 

Clusters  OUTPUT 
[vector: point]  Vector layer containing the original features with a field setting the cluster they belong to 
Number of clusters  NUM_CLUSTERS 
[number]  The number of clusters discovered 
Calculates for point features distances to their nearest features in the same layer or in another layer.
Default menu
:
Label  Name  Type  Description 

Input point layer  INPUT 
[vector: point]  Point layer for which the distance matrix is calculated (from points) 
Input unique ID field  INPUT_FIELD 
[tablefield: any]  Field to use to uniquely identify features of the input layer. Used in the output attribute table. 
Target point layer  TARGET 
[vector: point]  Point layer containing the nearest point(s) to search (to points) 
Target unique ID field  TARGET_FIELD 
[tablefield: any]  Field to use to uniquely identify features of the target layer. Used in the output attribute table. 
Output matrix type  MATRIX_TYPE 
[enumeration] Default: 0 
Different types of calculation are available:

Use only the nearest (k) target points  NEAREST_POINTS 
[number] Default: 0 
You can choose to calculate the distance to all the points in the target layer (0) or limit to a number (k) of closest features. 
Distance matrix  OUTPUT 
[vector: point] 
Label  Name  Type  Description 

Distance matrix  OUTPUT 
[vector: point]  Point (or MultiPoint for the “Linear (N * k x 3)” case) vector layer containing the distance calculation for each input feature. Its features and attribute table depend on the selected output matrix type. 
Creates lines that join each feature of an input vector to the nearest feature in a destination layer. Distances are calculated based on the center of each feature.
Label  Name  Type  Description 

Source points layer  INPUT 
[vector: any]  Vector layer for which the nearest feature is searched 
Destination hubs layer  HUBS 
[vector: any]  Vector layer containing the features to search for 
Hub layer name attribute  FIELD 
[tablefield: any]  Field to use to uniquely identify features of the destination layer. Used in the output attribute table 
Measurement unit  UNIT 
[enumeration] Default: 0 
Units in which to report the distance to the closest feature:

Hub distance  OUTPUT 
[vector: line]  Line vector layer for the distance matrix output 
Label  Name  Type  Description 

Hub distance  OUTPUT 
[vector: line]  Line vector layer with the attributes of the input features, the identifier of their closest feature and the calculated distance. 
Creates a point layer representing the center of the input features with the addition of two fields containing the identifier of the nearest feature (based on its center point) and the distance between the points.
Label  Name  Type  Description 

Source points layer  INPUT 
[vector: any]  Vector layer for which the nearest feature is searched 
Destination hubs layer  HUBS 
[vector: any]  Vector layer containing the features to search for 
Hub layer name attribute  FIELD 
[tablefield: any]  Field to use to uniquely identify features of the destination layer. Used in the output attribute table 
Measurement unit  UNIT 
[enumeration] Default: 0 
Units in which to report the distance to the closest feature:

Hub distance  OUTPUT 
[vector: point]  Point vector layer for the distance matrix output. 
Label  Name  Type  Description 

Hub distance  OUTPUT 
[vector: point]  Point vector layer with the attributes of the input features, the identifier of their closest feature and the calculated distance. 
Creates hub and spoke diagrams by connecting lines from points on the spoke layer to matching points in the hub layer.
Determination of which hub goes with each point is based on a match between the Hub ID field on the hub points and the Spoke ID field on the spoke points.
If input layers are not point layers, a point on the surface of the geometries will be taken as the connecting location.
Label  Name  Type  Description 

Hub layer  HUBS 
[vector: any]  Input layer 
Hub ID field  HUB_FIELD 
[tablefield: any]  Field of the hub layer with ID to join 
Hub layer fields to copy (leave empty to copy all fields) Optional 
HUB_FIELDS 
[tablefield: any] [list]  The field(s) of the hub layer to be copied. If no field(s) are chosen all fields are taken. 
Spoke layer  SPOKES 
[vector: any]  Additional spoke point layer 
Spoke ID field  SPOKE_FIELD 
[tablefield: any]  Field of the spoke layer with ID to join 
Spoke layer fields to copy (leave empty to copy all fields) Optional 
SPOKE_FIELDS 
[tablefield: any] [list]  Field(s) of the spoke layer to be copied. If no fields are chosen all fields are taken. 
Hub lines  OUTPUT 
[vector: lines]  The resulting line layer 
Label  Name  Type  Description 

Hub lines  OUTPUT 
[vector: lines]  The resulting line layer 
Calculates the 2D distance based kmeans cluster number for each input feature.
Kmeans clustering aims to partition the features into k clusters in which each feature belongs to the cluster with the nearest mean. The mean point is represented by the barycenter of the clustered features.
If input geometries are lines or polygons, the clustering is based on the centroid of the feature.
Label  Name  Type  Description 

Input layer  INPUT 
[vector: any]  Layer to analyze 
Number of clusters  CLUSTERS 
[number] Default: 5 
Number of clusters to create with the features 
Cluster field name  FIELD_NAME 
[string] Default: ‘CLUSTER_ID’ 
Name of the cluster number field 
Clusters  OUTPUT 
[vector: any]  Vector layer for generated the clusters 
Label  Name  Type  Description 

Clusters  OUTPUT 
[vector: any]  Vector layer containing the original features with a field specifying the cluster they belong to 
Lists unique values of an attribute table field and counts their number.
Default menu
:
Label  Name  Type  Description 

Input layer  INPUT 
[vector: any]  Layer to analyze 
Target field(s)  FIELDS 
[tablefield: any]  Field to analyze 
Unique values  OUTPUT 
[table]  Summary table layer with unique values 
HTML report  OUTPUT_HTML_FILE 
[html]  HTML report of unique values in the 
Label  Name  Type  Description 

Unique values  OUTPUT 
[table]  Summary table layer with unique values 
HTML report  OUTPUT_HTML_FILE 
[html]  HTML report of unique values. Can be opened from the 
Total unique values  TOTAL_VALUES 
[number]  The number of uniqe values in the input field 
UNIQUE_VALUES  Unique values 
[string]  A string with the comma separated list of unique values found in the input field 
Computes a point layer with the center of mass of geometries in an input layer.
An attribute can be specified as containing weights to be applied to each feature when computing the center of mass.
If an attribute is selected in the parameter, features will be grouped according to values in this field. Instead of a single point with the center of mass of the whole layer, the output layer will contain a center of mass for the features in each category.
Default menu
:
Label  Name  Type  Description 

Input layer  INPUT 
[vector: any]  Input vector layer 
Weight field Optional 
WEIGHT 
[tablefield: numeric]  Field to use if you want to perform a weighted mean 
Unique ID field  UID 
[tablefield: numeric]  Unique field on which the calculation of the mean will be made 
Mean coordinates  OUTPUT 
[vector: point]  The (point vector) layer for the result 
Label  Name  Type  Description 

Mean coordinates  OUTPUT 
[vector: point]  Resulting point(s) layer 
Performs nearest neighbor analysis for a point layer.
Output is generated as an HTML file with the computed statistical values:
Default menu
:
Label  Name  Type  Description 

Input layer  INPUT 
[vector: point]  Point vector layer to calculate the statistics on 
Nearest neighbour  OUTPUT_HTML_FILE 
[html]  HTML file for the computed statistics 
Label  Name  Type  Description 

Nearest neighbour  OUTPUT_HTML_FILE 
[html]  HTML file with the computed statistics 
Observed mean distance  OBSERVED_MD 
[number]  Observed mean distance 
Expected mean distance  EXPECTED_MD 
[number]  Expected mean distance 
Nearest neighbour index  NN_INDEX 
[number]  Nearest neighbour index 
Number of points  POINT_COUNT 
[number]  Number of points 
ZScore  Z_SCORE 
[number]  ZScore 
Points
[vector: point]Nearest neighbour
[html]Calculates statistics of fields depending on a parent class.
For numerical fields, a table layer with the following statistics is output:
For string fields, the following statistics will be calculated:
Label  Name  Type  Description 

Input vector layer  INPUT 
[vector: any]  Input vector layer with unique classes and values 
Field to calculate statistics on (if empty, only count is calculated) Optional 
VALUES_FIELD_NAME 
[tablefield: any]  If empty only the count will be calculated 
Field(s) with categories  CATEGORIES_FIELD_NAME 
[vector: any] [list]  The fields that (combined) define the categories 
Statistics by category  OUTPUT 
[table]  Table for the generated statistics 
Label  Name  Type  Description 

Statistics by category  OUTPUT 
[table]  Table containing the statistics 
Takes a polygon layer and a line layer and measures the total length of lines and the total number of them that cross each polygon.
The resulting layer has the same features as the input polygon layer, but with two additional attributes containing the length and count of the lines across each polygon.
The names of these two fields can be configured in the algorithm parameters.
Default menu
:
Label  Name  Type  Description 

Lines  LINES 
[vector: line]  Input vector line layer 
Polygons  POLYGONS 
[vector: polygon]  Polygon vector layer 
Lines length field name  LEN_FIELD 
[string] Default: ‘LENGTH’ 
Name of the field for the lines length 
Lines count field name  COUNT_FIELD 
[string] Default: ‘COUNT’ 
Name of the field for the lines count 
Line length  OUTPUT 
[vector: polygon]  The output polygon vector layer 
Label  Name  Type  Description 

Line length  OUTPUT 
[vector: polygon]  Polygon output layer with fields of lines length and line count 