DepthmapX (formerly UCL Depthmap) is a free and open source software for spatial network analysis and network visualization. It is designed to enable s to quickly and easily visualise, analyse and explore the spatial networks of their data.
DepthmapX allows s to visualize and analyze the spatial structure of urban environments.
Features:
DepthmapX enables s to analyse and visualise the spatial networks of their data. It provides powerful tools that allow s to explore and interpret their data in ways that are not possible with other spatial analysis tools. The software includes the following features:
Network Visualisation: DepthmapX enables s to quickly and easily visualise the spatial networks of their data. The software includes a range of network visualisation tools, including force-directed layouts, adjacency matrices, network diagrams and network maps.
Network Analysis: DepthmapX provides a range of network analysis tools, including measures of centrality, accessibility, density, connectivity, path length and distance. These tools can be used to identify patterns and trends in the spatial networks of the data.
Data Exploration: DepthmapX enables s to explore their data in more detail. The software includes a range of interactive visualisation tools, including point-and-click exploration, panning and zooming, and data exploration.
Data Integration: DepthmapX s the integration of multiple data types, including geospatial data, spatial networks, and other types of data. This enables s to combine multiple data sources to explore their data in more detail.
Data Export: DepthmapX enables s to export their data in a range of formats, including CSV, KML, SVG, and Shapefile. This allows s to easily share and publish their data with others.
Interactive Reports: DepthmapX provides an interactive reporting tool, which enables s to quickly and easily generate reports based on their data. The reports can be exported in a range of formats, including HTML, PDF, and Excel.
These features make DepthmapX an ideal tool for quickly and easily visualising, analysing, and exploring the spatial networks of data. The software is free and open source, and can be used for a range of applications, from basic network visualisation to advanced network analysis.