Datasets
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      Import & Customise Datasets

      Podaris allows you to import custom datasets and visualise the geographical features described within.

      These features may comprise points (useful for describing addresses or locations), line strings (suited to streets, highways, etc...) and polygons 

      Importing a dataset

      1. The dataset import feature can be found on the layers panel. To import a new dataset click Import dataset layer import_layer

      2. Datasets can be uploaded from a local machine or by pointing to the URL at which they are hosted. Podaris currently accepts the following file formats for datasets: .geojson, .json, .kml, ShapeFile (must be uploaded as a zipped file), and .csv

      (If you're looking to use a format that is not currently supported, please get in touch)

      Podaris does not support multipart geometries. Any such features will be flattened into single-part features automatically, with any attributes copied to the created features. 

      1. Once your dataset has been uploaded, you can choose which attributes to import by ticking or unticking each attribute's import checkbox and assigning them an appropriate data type (string, number or boolean). Click IMPORT to finish.

      import_dataset

      For large datasets connecting to an external GIS server is likely to provide better performance when editing and viewing your project. If you require any assistance, please contact support who are happy to help discuss the best ways to import data.

      Using datasets

      Here we can see polygon data from our imported dataset visualised in pink.

      apple_campus

      Clicking on a polygon will allow you to view (and change) all associated attributes, as well as view its perimeter and respective area.

      dataset_atrb

      In order to move this polygon, click once to select it and then again and drag it to a new location. Double-clicking will allow you to manually edit its coordinates.

      Styling datasets

      Styling datasets can be achieved by clicking the cog icon cog next to the dataset layer that you wish to modify. The color and appearance of points, polygons and linestrings can all be styled here. There is also the option to choose to hide or show a legend, which will then correspond to the styles/naming within the classes that you select. 

      Screenshot 2025-03-27 at 10.44.36

      Styling by attribute

      The fill color of polygons, linestrings, and points can be styled based on a dataset’s attributes.
      This can be done by changing the data type to Categorical, Numerical, or Simple.

      Doing so will bring up additional settings:

      • Simple – You can modify the existing classes, allowing you to change the fill color, stroke color, line color, and point color. You can also adjust the width and fill styles of lines and points. Additionally, you have the option to change the point icon style, as well as the point icon stroke color and width.

      • Categorical – You can select the relevant attribute from those set up in the Attributes tab. The color scheme depends on the number of classes: a single class requires one color, while multiple classes require a spectrum. Choose the color range to categorize the attribute values. The color scale reads from left to right, with the lowest values assigned the leftmost color and the highest values assigned the rightmost color. As with the Simple data type, you can adjust the color, fill, and point sizes, widths, and styles.


      • Numerical – Similar to the Categorical data type, you can select the relevant attribute from the Attributes tab and then define the classes. As with the Simple and Categorical data types, you can modify the color, fill, point sizes, widths, and styles. The Numerical data type also includes the Steps Method, which provides options for defining class breaks: Jenks, Equal Interval, Manual, and Quantile. 
      • The class style settings can be expanded using drop-down arrows, allowing further customization of color, fill, and point properties.



        Screenshot 2025-03-27 at 10.40.31

      After clicking Okay, these styling changes will have been applied to your dataset.

      Labels

      From within the Labels tab, you can choose to use any text-type attribute to display on the map above each feature. In order to set the attribute that will be visible as a layer next to each geometric element, select your preferred text attribute from the Labels box. From there you can also change the style of the label.

      Amending attributes

      Clicking the cog icon cog next to the attribute that you wish to edit will allow you to change the attribute's type (string/number/boolean), default value, as well as manually populate a list of allowed values.