Space-time prisms on a sphere with applications to long-distance movement

Kuijpers, Bart; Technitis, Georgios

doi:10.1080/13658816.2020.1738439

Cited by 7 publications

(5 citation statements)

References 29 publications

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“…Increasingly sophisticated constructions of the space‐time prism have enabled more realistic depictions for the information held within prism volumes, with notable methods incorporating spatial interpolators (Downs, Horner, et al, 2014), random walks (Winter & Yin, 2010), pseudorandom and Brownian motion (Song & Miller, 2014), kinematic limitations (Kuijpers, Miller, & Othman, 2017; Long, 2016), anchor location uncertainty (Kuijpers, Miller, Neutens, & Othman, 2010; Kuijpers & Othman, 2017) and the influence of environmental context (Long, 2018; Miller & Bridwell, 2009). Further contemporary developments have hybridized behavioural agent‐based simulation with space‐time prism constraints (Loraamm, 2019), and have provided spherical adjustments rendering accurate prism geometry over long distances (Kuijpers & Technitis, 2020).…”

Section: Introductionmentioning

confidence: 99%

Identifying road avoidance behavior using time‐geography for red deer in Banff National Park, Alberta, Canada

Loraamm

Anderson

Burch

2021

Transactions in GIS

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Analysis of animal movement as a complex spatiotemporal signal attenuated by behavioural and contextual factors comprises a recent perspective in the time‐geographic study of movement. For their significant ecological and human impacts, animal–roadway interactions have become a particularly important subject matter in this arena. Analyses relying on spatiotemporal aggregation or reductive modelling of the information held in movement trajectories may overlook the influences of behaviour and environmental context. Towards expanding perspectives on animal movement and roadway interactions, this research acknowledges and characterizes the varying influence of temporally dynamic elements in the environmental context at fine spatiotemporal scales. In particular, these elements are hourly traffic volumes and their effect on the probability of animal–roadway interactions. A set of methods from time geography and signal analysis, including the probabilistic space‐time prism, comprehensive probability surface, and cross‐correlation were combined to provide for serial comparison of hourly roadway interaction probabilities and traffic volumes for red deer (Cervus elaphus) tracked in Banff National Park, Alberta, Canada. Results suggest a cyclical, diurnal repulsion in roadway interaction probabilities from periods of higher traffic volume at the hourly scale in the study area, consistent with prior theoretical and empirical findings on ungulates living in similar environmental settings.

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Section: Introductionmentioning

confidence: 99%

Identifying road avoidance behavior using time‐geography for red deer in Banff National Park, Alberta, Canada

Loraamm

Anderson

Burch

2021

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“…Further still, prism research extends into the examination of the influence that dynamic or temporally modulated factors in the spatial context have on movement [1] and the bounding of prism volumes based on the simulated action of behaviorally informed agent-based models [3]. Advancements in these methods have been demonstrated in application to issues of conservation and wildlife management, enabling better spatiotemporal understandings of animal home range [12], long-distance animal movements [33], and population-level examination of animal habitat use [2]. In particular, research on animal interactions includes animal movement considering the interaction between environmental context and local choice [34], animal-to-animal interactions [25], and animal-to-roadway interactions [1,20,35].…”

Section: Introductionmentioning

confidence: 99%

Using a Cost-Distance Time-Geographic Approach to Identify Red Deer Habitat Use in Banff National Park, Alberta, Canada

Loraamm

2023

IJGI

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Animal movements are realizations of complex spatiotemporal processes. Central to these processes are the varied environmental contexts in which animals move, which fundamentally impact the movement trajectories of individuals at fine spatial and temporal scales. An emerging perspective in time geography is the direct examination of the influence that varying contexts may have on observed movements. An approach that considers environmental context can yield actionable information for wildlife management, planning, and conservation; for instance, identifying areas of probable occupancy by an animal may improve the efficiency of fieldwork. This research develops the first known practical application of a new cost-distance-based, probabilistic voxel space–time prism (CDBPSTP) in efforts to more realistically characterize the unobserved habitat occupancies of animals occurring between known positions provided by location-aware technologies. The CDBPSTP method is applied to trajectory data collected for a group of red deer (Cervus elaphus) tracked near Banff National Park, Alberta, Canada. As a demonstration of the added value from examining how context influences movement, CDBPSTP habitat occupancy results are compared to the earlier PSTP method in context with empirical and theoretical understandings of red deer habitat preference and space-use behaviors. This comparison reveals that with CDBPSTP, variation present in the mover’s environment is explicitly considered as an influence on the mover’s probable path and occupancies between observations of its location. With the increasing availability of high-resolution geolocational and associated environmental data, this study highlights the potential for CDBPSTP to be leveraged as a broadly applicable tool in animal movement analysis.

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“…(2014). For large‐scale movement on the surface of the Earth, relevant to animal migration, space‐time prisms for movement on a sphere have recently been developed (Kuijpers & Technitis, 2020).…”

Section: Introductionmentioning

confidence: 99%

“…One example application of prisms in animal ecology concerns space and habitat use, and space-time prisms fit naturally with the "home range" concept (meaning the area covered by an animal in pursuit of its typical daily needs), which was investigated further in Downs et al (2014). For large-scale movement on the surface of the Earth, relevant to animal migration, space-time prisms for movement on a sphere have recently been developed (Kuijpers & Technitis, 2020).…”

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confidence: 99%

A note on measuring the volume of space‐time prisms and the area of their spatial projections

Elias

Kuijpers

2020

Transactions in GIS

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Space-time paths and space-time prisms are central notions in research areas that are concerned with moving object data. Space-time paths describe actual mobility and are often modeled by polylines in the space-time space that connect consecutive, observed (e.g., GPS-measured) locations of a moving object. On the other hand, space-time prisms are used to model all possible or potential locations of a moving object between two observed space-time locations (which are called the prism anchors), given some speed bounds in the travel environment. Therefore, the space-time prism represents potential mobility. The spatial (or geographical) projection of a prism is then a region in space which a moving object could have visited when moving from one observed space-time location to the next, given a speed bound. In the earlier literature, the space-time prism was called the "potential path space" and its spatial projection was referred to as the "potential path area" (PPA) (Burns, 1979; Lenntorp, 1976). The space-time prism model was introduced by Hägerstrand around 1970 in an area of research called time geography (Hägerstrand,). Space-time prisms were introduced to GIS by Janelle and Goodchild (1983) and Miller (1991), and later on in the area of spatio-temporal and moving object databases by Pfoser and Jensen (1999), where they were further studied by Egenhofer and Hornsby (Egenhofer, 2003; Hornsby & Egenhofer, 2002). They gained popularity in the GIS community as a tool for modeling and analyzing the potentiality of human activity

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Space-time prisms on a sphere with applications to long-distance movement

Cited by 7 publications

References 29 publications

Identifying road avoidance behavior using time‐geography for red deer in Banff National Park, Alberta, Canada

Identifying road avoidance behavior using time‐geography for red deer in Banff National Park, Alberta, Canada

Using a Cost-Distance Time-Geographic Approach to Identify Red Deer Habitat Use in Banff National Park, Alberta, Canada

A note on measuring the volume of space‐time prisms and the area of their spatial projections

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