Spatial Analysis
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Components to perform more advanced geospatial analytics leveraging the spatial properties and patterns in your data.
Description
This component performs a K-nearest neighbors analysis.
Inputs
Points table [Table]
Id column [Column]
Geo column [Column]
Number of nearest neighbors [Number]
Maximum distance: Defines the maximum distance where neighbors will be considered.
Outputs
Result table [Table]
External links
Description
This component performs a DB Scan clustering on the geographical coordinates. Given an input table and a geo column, it creates a new table with the same content as the input one and an additional column named 'cluster' containing the cluster id corresponding to each geography.
Inputs
Source table [Table]
Geo column [Column]
Search radius (m) [Number]
Minimum number of geographies [Number]
Outputs
Result table [Table]
External links
Description
This component performs a K-means clustering on the geographical coordinates. Given an input table and a geo column, it creates a new table with the same content as the input one and an additional column named 'cluster' containing the cluster id corresponding to each geography..
Inputs
Source table [Table]
Geo column [Column]
Number of clusters [Number]
Outputs
Result table [Table]
External links
Description
This component takes a points table and a polygons table. It creates a new table with the same content as the polygons table, with an additional column containing the number of points from the points table that fall within each polygon.
Inputs
Points table [Table]
Polygons table [Table]
Geo column in points table [Column]
Geo column in polygons table [Column]
Column with identifier in polygons table [Column]
Outputs
Result table [Table]
Description
This component computes a Delaunay triangulation based in a input table with points.
It creates a new table with a 'geom' column containing the triangulation geographies (lines or polygons)
Inputs
Source table [Table]
Geo column [Column]
Return lines [Boolean]
Outputs
Result table [Table]
External links
Description
This component computes a Voronoi tesellation based in a input table with points.
It creates a new table with a 'geom' column containing the triangulation geographies (lines or polygons).
The maximum number of points used to compute Voronoi diagrams is 300,000. This limit ensures efficient computation while maintaining accuracy in delineating regions based on proximity to specified points.
Inputs
Source table [Table]
Geo column [Column]
Return lines [Boolean]
Outputs
Result table [Table]
External links
This component requires installed in the chosen connection to build the workflow.
This component requires installed in the chosen connection to build the workflow.
This component requires installed in the chosen connection to build the workflow.