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GeoCommons: Analysis Tools

Geoprocessing tools

Analysis tools: in the free version, users are limited to two analyses running at the same time and up to ten per day.

There are several analysis tools that work with mappable geographic features.  This gives GeoCommons some of the functionality of a client-based GIS software package:

  • Merge: Join the data and geometries from two datasets into one, comparable to Stata Append or ArcGIS Merge.
  • Aggregation: Sum the points of a dataset into a set of polygons.
  • Dynamic Aggregation:  Aggregates large datasets into multiple sets of polygons which will dissolve for greater detail based on the zoom level in the map.
  • Buffer: Create a perimeter of a set distance for a dataset of points or lines, comparable to ArcGIS Buffer.
  • Donut: Create a ring buffer around your points or lines, comparable to the ArcGIS Multiple Ring Buffer.
  • Filter by Distance: Find all of the features in one dataset that are within a perimeter from another dataset's features (Buffer + Intersection, comparable to ArcGIS Select by Location or Spatial Join).
  • Clip: Clip an input dataset based on a "cookie cutter" clipping dataset.
  • Intersection: Calculate all the locations where two datasets overlap each other.
  • Dissolve:  Merge polygons together that have a common attribute, allowing aggregation of numeric attribute data using average, sum, minimum, maximum, and count.
  • Simplify: Simplify a dataset to make the features less complex (essentially, lowers the resolution).

Modify attributes

There are several analysis tools that act on a dataset's attributes:

  • Addition: Add the values in two columns in a dataset together to produce a sum.
  • Subtraction: Subtract two columns in a dataset to calculate a difference.
  • Predict Within a Dataset: Use one attribute in a dataset to predict the likelihood of another in the same dataset (Pearson's Correlation).
  • Predict Across Datasets: Use attributes of data in one dataset to predict the likelihood of an attribute in another dataset (Aggregation + Pearson's Correlation).

You can also create your own custom equation or create your own analysis tool to create new attributes based on values of existing attributes.