Understand Spatial and Temporal Contexts Using Geo Analytics
Benefit from new features allowing you to analyze the spatial context in your data. Work on your map data in live mode and run complex analyses, including spatial visualization, in order to reveal the essential meaning. Move in space and time and gain new insights through geotemporal analysis. Calculate spatial coordinates based on addresses and accessibility zones and enrich your analyses with OpenStreetMap data, POI, and other open, commercially available spatial data. "Where" and "When" will tell you "Why".
Decipher Spatial References on the Map in Live Mode
Make the most of your data – interactively and directly on the map. Use the powerful search and filter functions that are intelligently integrated into the GIS component. Retrieve the desired data directly on the map and view all filtered data during the analysis in live mode. Quickly navigate through the different map layers and show additional information directly on the map. Present the results of your multi-dimensional analysis (OLAP) on the map and switch easily between the different analysis views. If required, you can simply upload additional spatial data – whether from a local file, a database or a web service – therefore discovering thematic cross-references and gaining new insights.
Run Geovisualization Analyses
Identify spatial correlations, such as the distribution of measured values or the accumulation of observation points – everything at a glance. Merge thousands of observation points into visually appealing and meaningful heat maps or simply cluster your data to get a clearer overview or identify local anomalies. You may also use multi-dimensional classifications and visualize the most important statistical key figures in a visually appealing way.
Dynamic Time Filtering
Move through time with a slider and create video animations based on your data, which are played directly on the map. Watch how values change over time. Set additional topic-related or spatial filters and switch to your data's tabular view and chart view during the spatial-temporal analysis of the individual time periods.
Integrate OpenStreetMap (OSM), Points of Interest (POI) and Other Spatial Data into the Analyses
Use open and commercial spatial data, extend your analyses and visualizations quickly and reliably: Load additional data directly from a file or directly access corresponding spatial databases. Use external spatial data services via WMS, WFS or REST interfaces to supplement your data for analysis purposes or to simply get optimized background maps for a better graphic presentation of your analyses.
Collecte Spatial Information from Addresses with Geocoding
Analyze contacts, customers or other addresses directly on the map. Load your address lists directly onto the map and use the helpful features: filter addresses on the map according to different criteria, calculate distances, form clusters or heat maps or buffer and spatially intersect them with other features.
Calculate Distances, Accessibility Zones and Isochrones
Cross-reference information about customers, locations, branches and other addresses of individuals and features in terms of their spatial and temporal relation; calculate distances, accessibility zones and isochrones. Combine these with other data and GIS functions, such as buffering and intersecting, and optimize your planning or staff deployment.
Anonymize and Report Data in Grid View
Not every point information and exact coordinate should be visible to everyone. Present information on individual observation objects in larger grid cells to anonymize data. Disguise the exact position while still displaying regional clusters. Extend your regular reports with these and other map presentations to better illustrate new insights.
Benefit from the Range of Functionalities of a Geographic Information System
With Cadenza as your geographic information system (GIS), you will have all common GIS functionalities for your spatial data analyses at your fingertips. Use the complete range of GIS evaluations, such as intersecting or buffering, classify your data dynamically and multi-dimensionally, and print or plot your maps. If required, you can digitize new spatial data or edit existing spatial data with Cadenza.