UI overview

Figure 1. Overview of the Distribution Analytics page UI

Going clockwise, the distribution analytics page has the following UI elements

  • Select data set (not shown in the screenshot): in case your project contains multiple datasets, you’ll have access to an additional dropdown to select the data set you want to use.

  • Select property: allows you to adjust the property for which the distribution is shown

  • One/Two time periods toggle: toggle between analyzing a single time period, or doing side-by-side comparisons of 2 different periods

  • Time period selector: choose which time period to show on the histograms. You can select one of the predefined ones, or create a custom one.

  • Areas of interest selector: choose the areas for which you want to see local distributions calculated.

    The areas you can choose from are obtained from the areas of interest included in your project, as well as the areas you have drawn on the spatial map of the visual analytics page using the map controllers.

  • Attribute and time filters: you can filter the records that are used to calculate the distributions. For example, it allows to only analyze the distribution of the status property "Cargo vessels" and "Fishing boats" instead of all vessels.

    You can filter on properties in your data, as well as some additional time filtering (days of week, hours of day, months of year).

    The UI to create these filters is the same as on the visual analytics page, explained here and here.

  • Distribution pop-up menu: shows a pop-up menu with additional options. You can access this pop-up through the …​ button in the top-right corner of the card, or by right-clicking on it. The pop-up offers the following options.

    • Export the data behind the distribution to a .csv file.

    • Add the distribution to the dashboard.

  • Timezone selector: you can decide in which timezone you want to see the data. See the timezones article for more information.

  • Local distributions: the distributions for the selected areas of interest

  • Global distributions: the distribution for the whole world