Classification – Thematic Mapping

mobile gis, thematic mapping, data collection

Thematic Mapping – Classification on Mobile Devices

The new Mappt 3.1 sees an improvement in classification methods for thematic mapping. Here are the different types of classification and examples of each:

  1. Equal intervals. Each class has an equal range of values. This is used when the data is equally distributed. Example: classification of temperature data into ‘cold’: 0ºC – 25ºC; and ‘hot’: 25ºC – 50ºC.
  2. Natural breaks. Classes are made based on natural breaks in the data, i.e. features that cluster are placed into one class. Example: useful when classifying plant heights into rainforest layers. The height of plants in a rainforest would naturally cluster into the four distinct rainforest layers (emergent layer, canopy, understorey and undergrowth). This classification method would take advantage of these four rainforest layers’ natural differences in plant heights.
  3. Quantile classification. Each class contains an equal number of data points; good for linearly distributed data (think of a nice boxplot – no skewness, no outliers). Example: test scores from a group of students. The best performing students will be placed in the top quantile.
  4. Standard deviation. Breaks are placed above and below the mean value at specified standard deviations. Especially good to know how far away data points are from the mean. Example: the BayntonCad dataset where 729 of the features have the area of 18-6,000, but only one of the features have an area of 56,000. We can make a distinction between areas within the range of 18-6,000 without ignoring the feature with an area of 56,000.

Thematic Mapping on a mobile GIS device is one of Mappt’s advanced features and can be applied to any industry when collecting data in-field on an Android Tablet.

Thematic Mapping is available in both Standard and Professional Versions of Mappt 3.0 (Mobile Android GIS). 

mobile gis, thematic mapping, data collection