Introduction

Thiessen polygons can be used for qualitative analysis, statistical analysis, proximity analysis, etc. For example, the area within a Thiessen polygon can be characterized with the properties of the corresponding discrete data point; the attribute values within a Thiessen polygon can be calculated based on the value at the discrete point in that polygon; with Thiessen polygons, it can be directly determined for a specific discrete point how many (n if the corresponding Thiessen polgyon has n sides) and which other discrete points are proximate to it; when a data point falls within a certain Thiessen polygon, the closest discrete point can be immediately identified (the one within the same polygon) without any distance calculation.

Function Entrances

• Click Spatial Analysis > Vector Analysis > Proximity Analysis > Thiessen Polygon.
• Toolbox > Vector Analysis > Proximity Analysis > Thiessen Polygon.

Parameter Description

• Source Data: Set the point data that is used to create Thiessen polygons.
• Result Data: Set the name of the result dataset and the datasource to save the dataset.

Related Topics

Theory on Constructing Thiessen Polygons

Applications of Constructing Thiessen Polygons