SpatialKey offers filtering based on proximity to a specified address.  To set this up, simply add a custom circle shape to your map by adding a new Shape Layer.  Click the  icon in the Layer Manager, then select Custom Shapes. Select to add a Circle.  Move shapes around the map by dragging the bar at the top […]

Use synchronized filters to filter multiple datasets with a single filter pod.  Synchronized filters work in dashboards where multiple datasets have been added.  Once a synchronization is set up, any filters applied to the selected dataset/column combination will also be applied to all other synchronized datasets. Each dataset that is synchronized for filtering must have a […]

One of the many ways to filter your data is to filter based on a joined field.  Maybe you joined two point datasets together to enhance them with each other’s fields; or maybe you joined your point dataset with a shapefile in order to see which of your points fall within the shape boundaries.  Whatever the reason […]

The Blank Canvas app is a powerful way to completely customize your dashboard from scratch!  You can add pods just like in other apps, but in Blank Canvas you have the added flexibility to add multiple individual maps to be viewed side by side. Let’s walk through steps to get multiple maps in Blank Canvas. […]

Web Map Service (WMS) is a widely supported format for integrating imagery into mapping applications.  With the addition of WMS in Spatialkey you can overlay imagery on top of the existing map tiles or use a WMS layer as your backdrop instead of using the provided MapQuest map tiles.  Many third parties provide WMS imagery […]

SpatialKey’s Unique Value List pod provides a list of all unique values for fields in your dataset.  Add a unique value list pod from the dataset configuration panel.  Select a column to group your data by as well as a numeric value for the calculation. Click to “add pod” when you are done configuring. With […]

SpatialKey’s Temporal Heat Index pod summarizes your data by time of day (columns) and day of week (rows).  Each cell represents a specific day of week and hour of day combination, like “Thursdays at 4pm”.  This component makes it easy to spot temporal trends in your data.  Like other SpatialKey pods, the Temporal Heat Index […]

Thematic Polygon renderings, also known as Choropleth maps, use binning methods to determine how to color the polygons.  Each shape is placed into a certain color “bin” that represents a range of values with a goal of allowing you to see similarities and differences of some attribute of your data as it relates to location. […]

You can visualize numeric fields with any of SpatialKey’s map renderers, which consist of the Heatmap and Graduated Circle renderers.  The Bivariate Renderer is a more advanced renderer and visualizes two numeric attributes at the same time, instead of just one. The map renderer will show the relationship between the two attributes you specify. If you […]