Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

Henrikki Tenkanen

Showing results (1-10 of 11) with videos related to

Pageof 2
Sort By:
Scientific Data|March 6, 2020
Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki RegionHenrikki Tenkanen, Tuuli Toivonen
Nature Communications|March 19, 2025
Global gridded population datasets systematically underrepresent rural populationJosias Láng-Ritter, Marko Keskinen, Henrikki Tenkanen
Nature Ecology & Evolution|January 17, 2018
Machine learning for tracking illegal wildlife trade on social mediaEnrico Di Minin, Christoph Fink, Henrikki Tenkanen, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|March 13, 2018
A framework for investigating illegal wildlife trade on social media with machine learningEnrico Di Minin, Christoph Fink, Tuomo Hiippala, et al.
Scientific Data|February 5, 2022
A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, FinlandClaudia Bergroth, Olle Järv, Henrikki Tenkanen, et al.
International Journal of Health Geographics|July 29, 2016
Health research needs more comprehensive accessibility measures: integrating time and transport modes from open dataHenrikki Tenkanen, Perttu Saarsalmi, Olle Järv, et al.
Scientific Reports|April 12, 2017
Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areasAnna Hausmann, Tuuli Toivonen, Vuokko Heikinheimo, et al.
Scientific Reports|December 16, 2017
Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areasHenrikki Tenkanen, Enrico Di Minin, Vuokko Heikinheimo, et al.
The Science of the Total Environment|June 1, 2019
Assessing global popularity and threats to Important Bird and Biodiversity Areas using social media dataAnna Hausmann, Tuuli Toivonen, Christoph Fink, et al.
Water Research|December 25, 2025
Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineeringSeyed Hossein Hosseini, Babak Zolghadr-Asli, Henrikki Tenkanen, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Scientific Data|March 6, 2020
Longitudinal spatial dataset on travel times and distances by different travel modes in Helsinki RegionHenrikki Tenkanen, Tuuli Toivonen
Nature Communications|March 19, 2025
Global gridded population datasets systematically underrepresent rural populationJosias Láng-Ritter, Marko Keskinen, Henrikki Tenkanen
Nature Ecology & Evolution|January 17, 2018
Machine learning for tracking illegal wildlife trade on social mediaEnrico Di Minin, Christoph Fink, Henrikki Tenkanen, et al.
Conservation Biology : the Journal of the Society for Conservation Biology|March 13, 2018
A framework for investigating illegal wildlife trade on social media with machine learningEnrico Di Minin, Christoph Fink, Tuomo Hiippala, et al.
Scientific Data|February 5, 2022
A 24-hour population distribution dataset based on mobile phone data from Helsinki Metropolitan Area, FinlandClaudia Bergroth, Olle Järv, Henrikki Tenkanen, et al.
International Journal of Health Geographics|July 29, 2016
Health research needs more comprehensive accessibility measures: integrating time and transport modes from open dataHenrikki Tenkanen, Perttu Saarsalmi, Olle Järv, et al.
Scientific Reports|April 12, 2017
Social media reveal that charismatic species are not the main attractor of ecotourists to sub-Saharan protected areasAnna Hausmann, Tuuli Toivonen, Vuokko Heikinheimo, et al.
Scientific Reports|December 16, 2017
Instagram, Flickr, or Twitter: Assessing the usability of social media data for visitor monitoring in protected areasHenrikki Tenkanen, Enrico Di Minin, Vuokko Heikinheimo, et al.
The Science of the Total Environment|June 1, 2019
Assessing global popularity and threats to Important Bird and Biodiversity Areas using social media dataAnna Hausmann, Tuuli Toivonen, Christoph Fink, et al.
Water Research|December 25, 2025
Making waves: A conceptual framework exploring how large language model-based multi-agent systems could reshape water engineeringSeyed Hossein Hosseini, Babak Zolghadr-Asli, Henrikki Tenkanen, et al.
Pageof 2