3D-spatial-network (Machine Learning Data)
Download network data
This network is in the collection of Machine Learning Data
3D-spatial-network is
20MB compressed!Visualize and interactively analyze 3D-spatial-network and discover valuable insights using our interactive visualization platform. Compare with hundreds of other data across many different collections and types.
Metadata
| Name | 3D Road Network (North Jutland, Denmark) |
| Data types | Sequential, Text |
| Data task | Regression, Clustering |
| Attribute types | Real |
| Instances | 434874 |
| Attributes | 4 |
| Year | 2013 |
| Area | Computer |
| Description | 3D road network with highly accurate elevation information (+-20cm) from Denmark used in eco-routing and fuel/Co2-estimation routing algorithms. |
Please cite the following if you use the data:
Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.
@inproceedings{nr,
title={The Network Data Repository with Interactive Graph Analytics and Visualization},
author={Ryan A. Rossi and Nesreen K. Ahmed},
booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
url={http://networkrepository.com},
year={2015}
}
@ Name = 3D Road Network (North Jutland,
Denmark)Data types = Sequential, TextData task = Regression, ClusteringAttribute types = RealInstances = 434874Attributes = 4Year = 2013Area = ComputerDescription = 3D road network with highly accurate elevation information (+-20cm) from Denmark used in eco-routing and fuel/Co2-estimation routing algorithms.,
Interactive Visualization of Node-level Properties and Statistics
Tools for Interactive Exploration of Node-level Statistics
Visualize and interactively explore 3D-spatial-network and its important node-level statistics!
- Each point represents a node (vertex) in the graph.
- A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
- Zoom in/out on the visualization you created at any point by using the buttons below on the left.
- Once a subset of interesting nodes are selected, the user may further analyze by selecting and drilling down on any of the interesting properties using the left menu below.
- We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.
Please login or join the community to leverage the many other tools and features available in our interactive graph analytics platform.
Discuss and Share
Collaborate and contribute to the first interactive and community-oriented data repository!
Share key insights, awesome visualizations, or simply discuss advantages of data, any observed or known properties, challenges, problems, corrections, and any other helpful comments! Post and discuss recent published works that utilize this dataset (including your own). Any and all feedback is welcome and encouraged.