A review of quantitative methods for movement data

  title={A review of quantitative methods for movement data},
  author={Jed A. Long and Trisalyn A. Nelson},
  journal={International Journal of Geographical Information Science},
  pages={292 - 318}
  • J. Long, T. Nelson
  • Published 1 February 2013
  • Computer Science
  • International Journal of Geographical Information Science
The collection, visualization, and analysis of movement data is at the forefront of geographic information science research. Movement data are generally collected by recording an object's spatial location (e.g., XY coordinates) at discrete time intervals. Methods for extracting useful information, for example space–time patterns, from these increasingly large and detailed datasets have lagged behind the technology for generating them. In this article we review existing quantitative methods for… 
Analysis of movement data
This editorial intends to frame and position the papers included in this special issue and to provide recommendations for future directions in the analysis of movement data.
How to compare movement? A review of physical movement similarity measures in geographic information science and beyond
This review paper decomposes movement into its spatial, temporal, and spatiotemporal movement parameters, and provides a systematic and comprehensive classification of different movement similarity measures used in geographic information science.
Mapping trajectories and flows: facilitating a human-centered approach to movement data analytics
This paper provides a comprehensive overview of various visualization techniques for mapping movement through the lens of cartography and with a special focus on the “human user”, systematically characterize and categorize available techniques based on their visual specifications and functional capacities for human control, map-interaction, and design flexibility.
A Space-Time GIS for Visualizing and Analyzing Clusters in Large Tracking Datasets
  • Hongbo Yu
  • Computer Science, Environmental Science
  • 2017
The space-time GIS, together with the aggregation methods supported by the station concept, offers a useful exploratory analysis environment to support the investigation of hidden spatiotemporal patterns in large trajectory datasets of moving objects.
Analyzing Animal Movement Characteristics From Location Data
This work describes a method to determine the periodicity and directionality in movement exhibited by a migratory bird species and results using a High Arctic-nesting Svalbard Barnacle Goose movement data yielded undetected patterns that were secondarily corroborated with expert field knowledge.
Space–Time Analysis: Concepts, Quantitative Methods, and Future Directions
Throughout most of human history, events and phenomena of interest have been characterized using space and time as their major characteristic dimensions, in either absolute or relative
Quantifying Animal Trajectories Using Spatial Aggregation and Sequence Analysis: A Case Study of Differentiating Trajectories of Multiple Species
A new approach for analyzing animal movements that aggregates telemetry locations into spatial clusters and extracts the information from sequences formed by individuals passing through these spatial clusters is presented.
Movement analytics: A data-driven approach to quantifying space-time variation in grizzly bear (Ursus arctos L.) near-road movement patterns
Dr. Trisalyn Nelson, Supervisor (Department of Geography, University of Victoria) Dr. Chris T. Darimont, Department Member (Department of Geography, University of Victoria) Mr. Gordon Stenhouse,
Stacked space-time densities: a geovisualisation approach to explore dynamics of space use over time
An alternative geovisualisation method for spatio-temporal aggregation of trajectories of tagged animals: stacked space-time densities is presented and it is demonstrated how the method can be used to evaluate temporal site fidelity of each bird through identification of two different temporal movement patterns in the stacked density volume.


Seeking structure in records of spatio-temporal behaviour: visualization issues, efforts and applications
Geostatistical analysis of GPS trajectory data: Space-time densities
Creation of density maps and estimation of home range is problematic for observations of animal movement at irregular intervals. We propose a technique to estimate space-time densities by separately
How fast is a cow? Cross‐Scale Analysis of Movement Data
The implications of varying the temporal scale at which three movement parameters, speed, sinuosity and turning angle are derived are investigated, and the relationship between this temporal scale and uncertainty in the individual data points making up a trajectory is explored.
Local Indicators of Spatial Association—LISA
The capabilities for visualization, rapid data retrieval, and manipulation in geographic information systems (GIS) have created the need for new techniques of exploratory data analysis that focus on
Time-geographic density estimation for home range analysis
Time-geographic density estimation (TGDE) is a useful method of home range estimation and shows promise for numerous applications to moving objects in GIS.
Space–time density of trajectories: exploring spatio-temporal patterns in movement data
The concept of 3D space–time density of trajectories to solve the problem of cluttering in the space– time cube is introduced and an application to real-time movement data is presented, that is, vessel movement trajectories acquired using the Automatic Identification System equipment on ships in the Gulf of Finland.
Towards a taxonomy of movement patterns
This paper proposes a comprehensive classification and review of movement patterns and argues that this is indispensable as a basis for the development of pattern recognition and information visualization algorithms that are required to be efficient, effective, and as generic as possible.
Time-Geographic Density Estimation for Moving Point Objects
The main advantages of this time-geographic method of density estimation for moving point objects are that positive intensities are only assigned to locations within a moving object's potential path area and that it avoids arbitrary parameter selection as the amount of smoothing is controlled by the object's maximum potential velocity.
Designing Visual Analytics Methods for Massive Collections of Movement Data
This study focuses on data describing movements of multiple discrete entities that change their positions in space while preserving their integrity and identity, and defines the possible types of patterns in such movement data on the basis of an abstract model of the data as a mathematical function that maps entities and times onto spatial positions.
Discovering relative motion patterns in groups of moving point objects
A generic geographic knowledge discovery approach for exploring the motion of moving point objects, the prime modelling construct to represent GPS tracked animals, people, or vehicles, based on the concept of geospatial lifelines is presented.