GPS2space

GPS2space processes raw GPS time series and integrates them with Geographic Information Systems (GIS) to derive spatial measures such as activity-space and shared-space metrics for behavioral and spatial analysis.

Key Features:

• Data cleaning and preprocessing: Handles dense sampling of latitude-longitude time series through cleaning and preprocessing steps to prepare GPS data for analysis.
• Data processing and formatting: Converts raw GPS time series into analyzable formats suitable for spatial analysis.
• GIS integration: Integrates GPS data with Geographic Information Systems to map coordinates and derive distances from landmarks and spatial relationships.
• Spatial feature extraction: Extracts activity-space metrics for individuals and shared-space metrics between individuals (e.g., family members or twins).

Scientific Applications:

• Behavioral science: Quantifies spatial dynamics of individual behavior by deriving activity-space and movement measures from GPS data.
• Seasonal variation analysis: Enables analysis of seasonal changes in activity spaces over time.
• Age-related mobility studies: Supports investigation of age-related changes in individual mobility patterns.
• Twin and family studies: Compares shared spaces among twin siblings and family members, including analyses considering gender, zygosity, and baseline age (demonstrated on the Colorado Online Twin Study).
• Broader spatial applications: Can be applied to urban planning, public health, and environmental studies to analyze spatial behavior and exposure.

Methodology:

Transforms raw GPS time series into spatial measures via data cleaning and preprocessing to handle dense sampling, integrates the processed coordinates with GIS tools to map and analyze spatial relationships, and extracts spatial features such as activity space and shared space metrics.