Divide by geometry

What is Divide by Geometry?

Divide by Geometry is a spatial analysis technique utilized to segment a dataset into multiple distinct datasets using the geometric properties of features. This process involves using the boundaries or shapes within one layer to divide the data of another layer, allowing for more granular analysis and presentation of spatial information. With this analysis, spatial data can be partitioned into meaningful sections, each aligned with specific geometric inputs.

When would you use Divide by Geometry?

Divide by Geometry is particularly useful in scenarios where differentiation of spatial data according to geographic regions, districts, or any defined areas is needed. Examples include subdividing a population dataset by political boundaries like city limits or electoral districts, splitting environmental data, such as vegetation or water bodies, by natural boundaries, or partitioning sales or service data by market areas. It allows researchers, planners, and decision-makers to focus on smaller, manageable, and relevant spatial units for targeted analysis and decision-making.

FAQs

What input parameters are needed for Divide by Geometry?

Input parameters typically include the dataset you wish to divide and the geometry or geometries that will define the divisions. The geometry layer should possess clear boundaries to ensure accurate division of the dataset.

Does Divide by Geometry alter the original dataset?

No, it does not alter the original dataset. Instead, it creates new datasets that correspond to the divisions defined by the input geometries. The original data remains intact and unaltered.

Can Divide by Geometry be used with any types of geometries?

Yes, it can be used with various types of geometries, such as polygons, lines, or points, depending on the specific requirements of the analysis. However, the most common use is with polygon geometries to delineate distinct areas.