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Exploratory analysis of Spatio -temporal movement patterns of Black Capuchin Monkeys in Brazil

Exploratory analysis of Spatio -temporal movement patterns of Black Capuchin Monkeys in Brazil. Yu Luo * Andrea Presotto Lan Mu University of Georgia. Outlines. Introduction Study Area and Data Methodology Result Summary. Introduction.

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Exploratory analysis of Spatio -temporal movement patterns of Black Capuchin Monkeys in Brazil

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  1. Exploratory analysis of Spatio-temporal movement patterns of Black Capuchin Monkeys in Brazil Yu Luo* Andrea Presotto Lan Mu University of Georgia

  2. Outlines • Introduction • Study Area and Data • Methodology • Result • Summary

  3. Introduction • People have always been interested in moving trajectories around us. e.g. Bird migration, Ant’s routing, Bee’s Waggle Dance • Study animals’ movement helps us better understand their cognition, such as memory and navigation Bar-tailed Godwit Migratory Routes

  4. Introduction • Lab Constraint • The recent development of location-aware devices provides great opportunities: • track the animals’ movement over large spatial extent with great accuracy • But also challenges: • the high-resolution GPS tracking produces mass data • Large data volume: short recording intervals • Complex data structure: space, time, attributes

  5. Any rules? Or any moving strategy?

  6. This project… Cebusnigritus: Widely lived in Atlantic Forest in south-eastern Brazil and far north-eastern Argentina The study group had 14 individuals, including one dominant male, one adult male, three females, three infants and six juveniles

  7. Data Collection • Black Capuchin movement data (2007) • Follow the objective group of monkeys and record the geographic coordinates at five-minute interval • Food patches along the routes • Environment Data: DEM, RS (CBERS),Hydrology

  8. Data • Some unique features of the Data • Difficulty in data-collection • The study area is a deep forest, the low visibility greatly increases the uncertainties of the monkeys’ movement • We got only one group of monkeys’ motion, we should be careful before making any conclusive statement • At this stage, this study focuses on data exploration • data quantification, query and representation

  9. Objectives • To analyze the movement pattern of the black capuchin monkey in Brazil based on the GPS-collected data • To develop better techniques to explore the mass data, with a focus on the temporal perspective • Integrate all the functions into a toolbox for primatologist or cognition scientist to explore the data

  10. Methodology • Descriptive Statistics: • to get a general view of the monkeys’ movement • Exploratory Data Analysis: • Explore the in-path attribute dynamics • Space-time Aquarium • x and y for space, and z for time • Attribute Clock • inspired by Michael Batty’s Rank Clock (Nature,2006) • project temporal changes in the clock • angle: time; radius: value • data in this project suitable for this visualization

  11. TT-plot • Transform 3d motion data to 2d representation by converting the spatial component to an inter-event distance matrix and adding a second time axis (Imfeld,2000) • For example, the TT- δ plot • The x and y are both time, the value at the point (t1 ,t2) is the distance δ between two locations Pt1 and Pt2. • If there is a zero value point, it implies that the moving object revisit the same location. • Indicator of memory y t2 t1 x

  12. Results • Descriptive Statistics • Home range: 4.6km2 • Average Travel Length: 2042.379m • Average Sinuosity: 4.846 • Average Elevation: 816.846m • Ranging from 759 – 911 m

  13. Comparison between April and May • Coincided with Pre-knowledge: • More food, more energy • Longer length • More random search pattern, higher sinuosity and lower mean vector length • But not obvious

  14. Welch Two Sample t-test Hypothesis test shows the activity pattern is not obviously different between April and May. The analysis of the in-path dynamics is necessary.

  15. Exploratory data analysis

  16. Space-time Aquarium

  17. 1.Attibute dynamics in April 17th e.g.: elevation min: 781m max: 852m 2.Activity dynamics green: eating red : non-eating 3.Aggreated level 3 days paths overlay • Attribute Clock

  18. Because monkeys stop frequently, some attributes are not continuous over space-time, such as velocity. If we still use line to connect the points: Instead, use “transparent pies” to represent the time sequence and emphasize the stop period We can overlap the data The transparency shows how often the monkeys stop during that period Lower Transparency, More Stops

  19. TT- δ plot Random Search Path Oriented Path

  20. 2D space • Space and time • Image processing techniques • Resolution: time scale • Resample, Interpolation • Pattern recognition • TT- X? • Other attributes can also be explored

  21. Summary • Tracking the animals’ movement is a promising way to study the animals’ behavior and cognition. But challenges such as complex data structure, temporal analysis need to addressed • The exploratory data analysis techniques presented in this project help us better understand the monkeys’ behavior pattern • Future work need to be done to model and simulate the cognition effects

  22. Thank you Any Question?

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