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What's New in M.App Analyzer Suite - February 2018

by Technical Evangelist on ‎02-21-2018 09:21 AM (1,775 Views)

What's New in the M.App Analyzer Suite

Based on your feedback, we are delighted to announce the release of Feature Analyzer. Feature Analyzer combines the proven power of Incident Analyzer, Area Analyzer, and Network Analyzer into a single, easy-to-use application.


What is Feature Analyzer?


Feature Analyzer provides a secure and scalable cloud-based environment for quickly creating point, polygonal, or linear-based thematic maps. These maps provide an easy and expeditious was to explore:


  • Points or Incident Data: By using the position, frequency, and temporal characteristic within your point data, you locate areas where the frequency of the incidents is abnormally high or low. With this analysis, you can create, manage, share, and host dynamic point-based intelligence reports that depict meaningful spatial patterns in an interactive fashion. You can use these reports to aid with tactical analysis, targeting, and deploying resources.
  • Polygonal data: Polygons or areas will allow you to interactively explore, create, and share reports that effectively depict meaningful spatial patterns. For example, you can use these reports to aid in remediation efforts or for deploying resources in a tactical and proactive fashion.
  • Linear data or networks: Linear networks such as roads or pipeline variations within a geographic area, provide a rich environment in which to examine spatial patterns, especially when combined with attribution. Linear data sets allow you to follow along a process flow or interactively explore data and in turn, create and share reports that effectively depict meaningful spatial patterns.


Feature Analyzer takes the power of investigative learning through interactive thematic mapping to a new level. With Feature Analyzer, non-technical users can quickly create a wide range of stunning geospatial reports. You can use a wide array of charts to effectively explore your multi-dimensional data in a self-guided, explorative, and interactive fashion. Once you understand the patterns in your data, you can use the Business Intelligence tools to assemble intelligence products that have insight and meaning for your audience.


In addition to the release of Feature Analyzer, we have also updated the entire M.App Analyzer Suite of Smart M.Apps (Incident Analyzer, Area Analyzer, Network Analyzer, Analyzer Viewer, and Feature Analyzer for M.App Enterprise).


Highlights and What's New

Here are highlights of the new features in M.App Analyzer Suite.


Configuration Support for Date & Theme Charts

You can now fully configure your Date and Theme charts. With this new approach, you are no longer limited to a predefined set of charts. You can create as many of these chart types as you like, and you can configure these using Styles, Colors, Labels, and Measures. You can also place these charts wherever you want within the view.

Floating Theme and Date Charts.png

Click me to have an interactive look at this new feature in action.


Fit All Button

The Fit All button lets you quickly set the viewing extents of the map view to match the maximum extents of your data. For example, if you perform several cross filters using a combination of charts and you can no longer easily see your geospatial data in the map view, simply click the Fit All button. The map will fit the viewing area to the extent of your filtered data and zoom to the correct level. This button is especially useful for finding a small collection of clustered point features. 


Projection Support

Your input data can now be in a projection other than WGS84. You can now use this new capability to override the default EPSG code with one that reflects the projection parameters used in your data and display your data in this preferred projection.


Percent Calculations

Percentages can be an effective way to present statistics. With this mathematical method, readers can deduce and rank entries quickly and easily. Couple Percentage calculations with Measures and your data takes on new meaning. In the example below, row charts are used to quickly determine the number of events by Borough and by Day.


Since cross-filtering is both interactive and dynamic, you can quickly drill into the data and get a report on the event type GRND_OTT.


 Click me to have an interactive look at this new feature in action.


Additional Theme/Legend Support

The Theme chart is a special type of chart that acts as the legend for your map content and is critical to conveying your message. With this new release, you can now easily remove null-valued entries from the legend and specify how many legend groups you want to display. In the example below, the legend to the left is using the default settings (all groups), while the legend in the middle makes use of the Remove Null option, and the legend on the right makes use of the Remove Null and limits the Number of Groups to 4. 



Additional Classification

Classification organizes data according to the values in the data and lets you make maps that your users use to recognize patterns in the data. Now, in addition to the Unique, Equal Interval, Standard Deviation, Quantile, and Natural Breaks, Feature Analyzer supports custom ranges allowing you to organize data according to your specific needs. In the example below, four classification techniques are used, notice how the classification technique affects the proportional distribution.

cahrts_custom ranges.png

Click me to have an interactive look at this new feature in action.