Cooper, C.H.V. and Chiaradia, A.J.F. 2020. sDNA: 3-d spatial network analysis for GIS, CAD, Command Line & Python. SoftwareX. 12 100525. https://doi.org/10.1016/j.softx.2020.100525
| Title | sDNA: 3-d spatial network analysis for GIS, CAD, Command Line & Python |
|---|---|
| Type | Journal article |
| Authors | Cooper, C.H.V. and Chiaradia, A.J.F. |
| Abstract | Spatial Design Network Analysis (sDNA) is a toolbox for 3-d spatial network analysis, especially street/path/urban network analysis, motivated by a need to use network links as the principal unit of analysis in order to analyse existing network data. sDNA is usable from QGIS & ArcGIS geographic information systems, AutoCAD, the command line, and via its own Python API. It computes measures of accessibility (reach, mean distance/closeness centrality, gravity), flows (bidirectional betweenness centrality) and efficiency (circuity) as well as convex hull properties, localised within lower- and upper-bounded radial bands. Weighting is flexible and can make use of geometric properties, data attached to links, zones, matrices or combinations of the above. Motivated by a desire to base network analysis on route choice and spatial cognition, the definition of distance can be network-Euclidean, angular, a mixture of both, custom, or specific to cyclists (avoiding slope and motorised traffic). In addition to statistics on network links, the following outputs can be computed: geodesics, network buffers, accessibility maps, convex hulls, flow bundles and skim matrices. Further tools assist with network preparation and calibration of network models to observed data. |
| Article number | 100525 |
| Journal | SoftwareX |
| Journal citation | 12 |
| ISSN | 2352-7110 |
| Year | 2020 |
| Publisher | Elsevier |
| Publisher's version | License CC BY 4.0 File Access Level Open (open metadata and files) |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.softx.2020.100525 |
| Publication dates | |
| Published in print | Jul 2020 |