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Network Data Exploration

Graphs are a powerful visual tool used to display and analyze sophisticated networks. Very complex and valuable questions can be answered in real time with network graphs while colors, design elements and format can all be customized to enhance visualization. Network graphs can be used to create dynamic network data models, to identify patterns and relationships, to locate trends in performance, to optimize routing, and to share information with millions of users simultaneously.

Visualize and Analyze Large Networks

Directly and indirectly networks pervade our daily lives. Most of us are dependent on technological networks, energy networks, and biological networks. We expect our cell phones to work when we need to make a call and we rely on electricity to use our computers, watch tv, and keep our food cold in the refrigerator. Many of us choose to participate in social networks and use information networks for almost instantaneous answers to a multitude of questions. Facebook, Twitter, LinkedIn, and Wikipedia have become household names.

 

With all these networks generating useful and marketable information, analysts need a way to harness and evaluate this data to make effective decisions. Graphs are a powerful visual tool used to display and analyze sophisticated networks. Very complex and valuable questions can be answered in real time with network graphs while colors, design elements and format can all be customized to enhance visualization. Network graphs can be used to create dynamic network data models, to identify patterns and relationships, to locate trends in performance, to optimize routing, and to share information with millions of users simultaneously.

Physical Network Graphs

MapLarge provides network-based spatial analysis, such as routing, fleet routing, travel directions, closest facility, and service area. Develop networks from your GIS data by using an advanced network data model allowing for realistic network conditions. Network Graph Example

Physical Network Graph Examples

  • Find shortest routes.
  • Produce the most efficient routes for a fleet of vehicles that must visit many locations.
  • Use time windows to limit when vehicles can arrive at locations.
  • Locate closest facilities.
  • Determine optimal locations for facilities by performing a location-allocation analysis.
  • Define service areas based on travel time or distance.
  • Create a network using your existing GIS data.
  • Generate a matrix of network travel costs from each origin to all destinations.