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ORCIDJed A. Long
Person information
- affiliation: Western University, Department of Geography & Environment, London, ON, Canada
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2020 – today
- 2023
[j24]Karim Malik
, Colin Robertson, Steven A. Roberts, Tarmo K. Remmel, Jed A. Long:
Computer vision models for comparing spatial patterns: understanding spatial scale. Int. J. Geogr. Inf. Sci. 37(1): 1-35 (2023)- [j23]Jed A. Long, Jinhyung Lee, Darja Reuschke:
Activity graphs: Spatial graphs as a framework for quantifying individual mobility. J. Geogr. Syst. 25(3): 377-402 (2023) - [c1]Milad Malekzadeh, Darja Reuschke, Jed A. Long:
How Does Travel Environment Affect Mood? A Study Using Geographic Ecological Momentary Assessment in the UK (Short Paper). GIScience 2023: 49:1-49:6 - [e1]Roger Beecham, Jed A. Long, Dianna Smith, Qunshan Zhao, Sarah Wise:
12th International Conference on Geographic Information Science, GIScience 2023, September 12-15, 2023, Leeds, UK. LIPIcs 277, Schloss Dagstuhl - Leibniz-Zentrum für Informatik 2023, ISBN 978-3-95977-288-4 [contents] - 2022
- [j22]Beate Zein, Jed A. Long, Kamran Safi, Andrea Kölzsch, Fernando Benitez-Paez, Martin Wikelski, Helmut Kruckenberg, Urska Demsar:
Simulating geomagnetic bird navigation using novel high-resolution geomagnetic data. Ecol. Informatics 69: 101689 (2022) - [j21]Aranya Iyer, Fernando Benitez-Paez, Vanessa da Silva Brum Bastos, Ciarán D. Beggan, Urska Demsar, Jed A. Long:
Spatial-temporal interpolation of satellite geomagnetic data to study long-distance animal migration. Ecol. Informatics 72: 101888 (2022) - [j20]Vanessa da Silva Brum Bastos, Marcelina Los, Jed A. Long, Trisalyn A. Nelson, Urska Demsar:
Context-aware movement analysis in ecology: a systematic review. Int. J. Geogr. Inf. Sci. 36(2): 405-427 (2022) - [j19]Chang Ren, Luliang Tang, Xue Yang, Jed A. Long:
Mapping Grade-Separated Junctions in Detail Using Crowdsourced Trajectory Data. IEEE Trans. Intell. Transp. Syst. 23(6): 5552-5561 (2022) - [j18]Jed A. Long, Chang Ren:
Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic. Comput. Environ. Urban Syst. 91: 101710 (2022) - 2021
- [j17]Urska Demsar, Jed A. Long, Fernando Benitez-Paez, Vanessa da Silva Brum Bastos, Solène Marion, Gina Martin, Sebastijan Sekulic, Kamil Smolak, Beate Zein, Katarzyna Sila-Nowicka:
Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis. Int. J. Geogr. Inf. Sci. 35(7): 1273-1308 (2021) - [j16]Chang Ren, Luliang Tang, Jed A. Long, Zihan Kan, Xue Yang:
Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History. ISPRS Int. J. Geo Inf. 10(7): 456 (2021) - [j15]Sebastijan Sekulic, Jed A. Long, Urska Demsar:
A spatially aware method for mapping movement-based and place-based regions from spatial flow networks. Trans. GIS 25(4): 2104-2124 (2021) - [j14]Jed A. Long, Darja Reuschke:
Daily mobility patterns of small business owners and homeworkers in post-industrial cities. Comput. Environ. Urban Syst. 85: 101564 (2021) - 2020
- [j13]Vanessa da Silva Brum Bastos, Jed A. Long, Katharyn Church, Greg Robson, Rogério de Paula, Urska Demsar:
Multi-source data fusion of optical satellite imagery to characterize habitat selection from wildlife tracking data. Ecol. Informatics 60: 101149 (2020) - [j12]Urska Demsar, Jed A. Long, Katarzyna Sila-Nowicka:
Integrated science of movement. J. Spatial Inf. Sci. 21(1): 25-31 (2020) - [j11]Brendan A. Hoover, Jennifer A. Miller, Jed A. Long:
Mapping areas of asynchronous-temporal interaction in animal-telemetry data. Trans. GIS 24(3): 573-586 (2020)
2010 – 2019
- 2018
- [j10]Jed A. Long, Robert Weibel, Somayeh Dodge, Patrick Laube:
Moving ahead with computational movement analysis. Int. J. Geogr. Inf. Sci. 32(7): 1275-1281 (2018) - [j9]Jed A. Long:
Modeling movement probabilities within heterogeneous spatial fields. J. Spatial Inf. Sci. 16(1): 85-116 (2018) - [j8]Vanessa da Silva Brum Bastos, Jed A. Long, Urska Demsar:
Weather effects on human mobility: a study using multi-channel sequence analysis. Comput. Environ. Urban Syst. 71: 131-152 (2018) - 2017
- [j7]Maximilian Konzack, Thomas J. McKetterick, Tim Ophelders, Maike Buchin, Luca Giuggioli, Jed A. Long, Trisalyn A. Nelson, Michel A. Westenberg, Kevin Buchin:
Visual analytics of delays and interaction in movement data. Int. J. Geogr. Inf. Sci. 31(2): 320-345 (2017) - 2016
- [j6]Jed A. Long:
Kinematic interpolation of movement data. Int. J. Geogr. Inf. Sci. 30(5): 854-868 (2016) - [j5]Katarzyna Sila-Nowicka, Jan Vandrol, Taylor Oshan, Jed A. Long, Urska Demsar, A. Stewart Fotheringham:
Analysis of human mobility patterns from GPS trajectories and contextual information. Int. J. Geogr. Inf. Sci. 30(5): 881-906 (2016) - 2015
- [j4]Trisalyn A. Nelson, Jed A. Long, Karen Laberee, Benjamin Stewart:
A time geographic approach for delineating areas of sustained wildlife use. Ann. GIS 21(1): 81-90 (2015) - 2014
- [j3]Jed A. Long, Trisalyn A. Nelson, Farouk S. Nathoo:
Toward a kinetic-based probabilistic time geography. Int. J. Geogr. Inf. Sci. 28(5): 855-874 (2014) - 2013
- [j2]Jed A. Long, Trisalyn A. Nelson:
A review of quantitative methods for movement data. Int. J. Geogr. Inf. Sci. 27(2): 292-318 (2013) - [j1]Jed A. Long, Trisalyn A. Nelson:
Measuring Dynamic Interaction in Movement Data. Trans. GIS 17(1): 62-77 (2013)
Coauthor Index
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