A review of quantitative methods for movement data. - Jed A. Long; Trisalyn A. Nelson (Int. J. Geogr. Inf. Sci., 2013)

Measuring Dynamic Interaction in Movement Data. - Jed A. Long; Trisalyn A. Nelson (Trans. GIS, 2013)

Toward a kinetic-based probabilistic time geography. - Jed A. Long; Trisalyn A. Nelson; Farouk S. Nathoo (Int. J. Geogr. Inf. Sci., 2014)

A time geographic approach for delineating areas of sustained wildlife use. - Trisalyn A. Nelson; Jed A. Long; Karen Laberee; Benjamin Stewart (Ann. GIS, 2015)

Kinematic interpolation of movement data. - Jed A. Long (Int. J. Geogr. Inf. Sci., 2016)

Analysis of human mobility patterns from GPS trajectories and contextual information. - Katarzyna Sila-Nowicka; Jan Vandrol; Taylor Oshan; Jed A. Long; Urska Demsar; A. Stewart Fotheringham (Int. J. Geogr. Inf. Sci., 2016)

Visual analytics of delays and interaction in movement data. - Maximilian Konzack; Thomas J. McKetterick; Tim Ophelders; Maike Buchin; Luca Giuggioli; Jed A. Long; Trisalyn A. Nelson; Michel A. Westenberg; Kevin Buchin (Int. J. Geogr. Inf. Sci., 2017)

Moving ahead with computational movement analysis. - Jed A. Long; Robert Weibel; Somayeh Dodge; Patrick Laube (Int. J. Geogr. Inf. Sci., 2018)

Modeling movement probabilities within heterogeneous spatial fields. - Jed A. Long (J. Spatial Inf. Sci., 2018)

Weather effects on human mobility: a study using multi-channel sequence analysis. - Vanessa da Silva Brum Bastos; Jed A. Long; Urska Demsar (Comput. Environ. Urban Syst., 2018)

Multi-source data fusion of optical satellite imagery to characterize habitat selection from wildlife tracking data. - Vanessa da Silva Brum Bastos; Jed A. Long; Katharyn Church; Greg Robson; Rogério de Paula; Urska Demsar (Ecol. Informatics, 2020)

Integrated science of movement. - Urska Demsar; Jed A. Long; Katarzyna Sila-Nowicka (J. Spatial Inf. Sci., 2020)

Mapping areas of asynchronous-temporal interaction in animal-telemetry data. - Brendan A. Hoover; Jennifer A. Miller; Jed A. Long (Trans. GIS, 2020)

Using eigen decomposition and sequence-based representation to extract movement patterns from contextualized tracking data. - Vanessa da Silva Brum Bastos; Jed A. Long; Urska Demsar (AGILE Conf., 2021)

Establishing the integrated science of movement: bringing together concepts and methods from animal and human movement analysis. - 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 (Int. J. Geogr. Inf. Sci., 2021)

Modelling Place Visit Probability Sequences during Trajectory Data Gaps Based on Movement History. - Chang Ren; Luliang Tang; Jed A. Long; Zihan Kan; Xue Yang 002 (ISPRS Int. J. Geo Inf., 2021)

A spatially aware method for mapping movement-based and place-based regions from spatial flow networks. - Sebastijan Sekulic; Jed A. Long; Urska Demsar (Trans. GIS, 2021)

Daily mobility patterns of small business owners and homeworkers in post-industrial cities. - Jed A. Long; Darja Reuschke (Comput. Environ. Urban Syst., 2021)

Spatial-temporal interpolation of satellite geomagnetic data to study long-distance animal migration. - Aranya Iyer; Fernando Benitez-Paez; Vanessa da Silva Brum Bastos; Ciarán D. Beggan; Urska Demsar; Jed A. Long (Ecol. Informatics, 2022)

Simulating geomagnetic bird navigation using novel high-resolution geomagnetic data. - Beate Zein; Jed A. Long; Kamran Safi; Andrea Kölzsch; Fernando Benitez-Paez; Martin Wikelski; Helmut Kruckenberg; Urska Demsar (Ecol. Informatics, 2022)

Context-aware movement analysis in ecology: a systematic review. - Vanessa da Silva Brum Bastos; Marcelina Los; Jed A. Long; Trisalyn A. Nelson; Urska Demsar (Int. J. Geogr. Inf. Sci., 2022)

Mapping Grade-Separated Junctions in Detail Using Crowdsourced Trajectory Data. - Chang Ren; Luliang Tang; Xue Yang 002; Jed A. Long (IEEE Trans. Intell. Transp. Syst., 2022)

Associations between mobility and socio-economic indicators vary across the timeline of the Covid-19 pandemic. - Jed A. Long; Chang Ren (Comput. Environ. Urban Syst., 2022)

How Does Travel Environment Affect Mood? A Study Using Geographic Ecological Momentary Assessment in the UK (Short Paper). - Milad Malekzadeh 002; Darja Reuschke; Jed A. Long (GIScience, 2023)

Computer vision models for comparing spatial patterns: understanding spatial scale. - Karim Malik; Colin Robertson; Steven A. Roberts; Tarmo K. Remmel; Jed A. Long (Int. J. Geogr. Inf. Sci., 2023)

An investigation of media reports of digital surveillance within the first year of the COVID-19 pandemic. - Leigha Comer; Lorie Donelle; Marionette Ngole; Jacob Shelley; Anita Kothari; Maxwell Smith; James M. Shelley; Saverio Stranges; Brad Hiebert; Jason Gilliland; Jacquelyn A. Burkell; Tommy Cooke; et al. (Frontiers Digit. Health, 2023)

Activity graphs: Spatial graphs as a framework for quantifying individual mobility. - Jed A. Long; Jinhyung Lee; Darja Reuschke (J. Geogr. Syst., 2023)

Mobility deviation index: incorporating geographical context into analysis of human mobility. - Milad Malekzadeh 002; Jed A. Long (J. Geogr. Syst., 2024)

Multi-modal, interrelated navigation in migratory birds: A data mining study. - Ali Moayedi; Jed A. Long; Andrea Kölzsch; Helmut Kruckenberg; Fernando Benitez-Paez; Urska Demsar (Ecol. Informatics, 2025)

Measuring evacuation rates from mobility data during the McDougall Creek wildfire in British Columbia, Canada. - Hui Jeong Ha; Jed A. Long (Comput. Environ. Urban Syst., 2025)

Data-driven movement analysis. - Jed A. Long; Urska Demsar; Somayeh Dodge; Robert Weibel (Int. J. Geogr. Inf. Sci., 2025)

Quantifying local mobility patterns in urban human mobility data. - Milad Malekzadeh 002; Darja Reuschke; Jed A. Long (Int. J. Geogr. Inf. Sci., 2025)