Document Type
Article
Publication Date
7-2020
Keywords
Time geography, Moving objects, GPS
Digital Object Identifier (DOI)
https://doi.org/10.1016/j.softx.2020.100499
Abstract
The observed movements of humans and animals are realizations of complex spatiotemporal processes. Recent advances in location-aware technologies have rendered trajectory data ubiquitous. Examining the sequenced, instantaneous locations found in movement trajectory data for information reconstructing the location or state of the mover between observed points comprises a primary focus in Time Geography and related disciplines. The PySTPrism toolbox introduced in this paper provides a straightforward and open-source implementation of the Probabilistic Space Time Prism, in addition to related tools from Time Geography. PySTPrism is implemented in Python using the ArcPy module in ArcGIS Pro Desktop.
Rights Information
This work is licensed under a Creative Commons Attribution 4.0 License.
Was this content written or created while at USF?
Yes
Citation / Publisher Attribution
SoftwareX, v. 12, art. 100499
Scholar Commons Citation
Loraamm, Rebecca; Downs, Joni A.; Anderson, James; and Lamb, David S., "PySTPrism: Tools for Voxel-based Space–Time Prisms" (2020). School of Geosciences Faculty and Staff Publications. 2248.
https://digitalcommons.usf.edu/geo_facpub/2248
