Geographic knowledge discovery from sparse GPS-data with R – Spatio-temporal examination of Amazonian river transports

Henrikki Tenkanen, Maria Salonen, Matti Lattu, Tuuli Kaarina Toivonen

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Technological developments have made it viable to collect movement data of humans, vehicles and animals. A low-cost GPS-based monitoring system was developed to collect movement data of riverboats in Western Amazonia. The pilot monitoring system provides real-time location and time data that indicate where and when the collaborating vessels are navigating. We developed a tool to identify individual trips from the data and compute motion parameters such as speed, change of speed and the direction of movement. The pilot monitoring system was tested to analyze different spatio-temporal transportation characteristics of the local riverboats in Western Amazonia during the year 2012. The aim of this case study was to explore the seasonal and directional variation in the transportation characteristics along the rivers. Furthermore, we analyzed the relationship between the water height of the rivers and the travel speed of individual journeys. Results of the analysis show that navigation along the rivers indeed has seasonal and directional variation, and that the river morphology seems to affect the movement patterns of the vessels. Our case study also proved that our tools to collect and analyze the movement data functioned as planned.
Original languageEnglish
Title of host publicationProceedings of the 3rd Open Source Geospatial Research & Education Symposium
PublisherAalto University
Number of pages8
ISBN (Print)978-952-60-5706-4, 978-952-60-5707-1
Publication statusPublished - Jun 2014
MoE publication typeA4 Article in a conference publication

Publication series

NameAalto University publication series SCIENCE + TECHNOLOGY
ISSN (Print)1799-4896
ISSN (Electronic)1799-490X


Dive into the research topics of 'Geographic knowledge discovery from sparse GPS-data with R – Spatio-temporal examination of Amazonian river transports'. Together they form a unique fingerprint.

Cite this