skruse / PLATIN

A tool for the comparative visualization of geospatial-temporal data.
GNU Lesser General Public License v3.0
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PLATIN

Place and Time Navigator

a fork and extension of GeoTemCo

developed at the Max-Planck-Institute for the History of Science with funding from TOPOI within the Project Atlas der Innovationen.

Introduction

PLATIN is a HTML5-based tool for presentation and analysis of spatial and temporal data, with a focus on historical data.

The projects starting goal was to bring the functionality of the DARIAH GeoBrowser to GeoTemCo.

Which added the following functionality:

Important additional features

The widget-architecture of GeoTemCo led to the creation of following additional features:

Dataset loading via URL

Datasets in KML/CSV/XLS/XLSX/JSON format can be loaded via URL. Those attributes of those datasets can be changed, if they don't follow the PLATIN syntax style. Also datasets can be filtered via URL.

Pie Charts

Piechart can be created for each "column" of a dataset. The data can either be the distinct values, categorized, or even generated by an own function (that takes the objects value as an argument).

They are interactive with the other widgets, so a selection/highlight of a pie chart slice will select/highlight those objects in the other widgets. And a selection/highlight in another widget will reduce the piechart to those selected/highlighted values.

Fuzzy Timeline

If the dataset has uncertain time-data (as with historical/archaeological data) this uncertainity should be shown and represented in the time-plot. The fuzzy timeline will add an object in such a way, that its weight is equaly spread across the timespan that is attached to it.

Also it is possible to switch to a bar-chart representation of the data. With bar-intervals of e.g. 1,10,100,... years.

Directed Line-Overlay

With this widget it is possibile to add "lines" (optionally arrows) between objects on the map.

If objects are clustered the links will be inherited and line thickness will be increased if lines are doubled by this clustering.

Dataset coloring on element (DataObject) basis

Each DataObject can have an own color, if objects are clustered together, the cluster color is calculated as the average of the RGB values.

Dataset color and shape changing (by user)

(This feature is in beta-state.)

Color and shape (on map) of the datasets can be changed on-the-fly from a dropdown menu in the table header.

Story-Telling

(This feature is unstable and under heavy development.)

As this tool also has an focus on data-analysis, it can be interesting to