Imagine you're a data analyst responsible for optimizing air networks across Africa. To effectively plan routes, allocate resources, and assess risks, you need comprehensive data about Chad's Am Timan Airport – far beyond just its name. This analysis provides a thorough examination of the airport's critical identifiers, geographic significance, and operational context.
I. Airport Profile: Decoding the Essential Identifiers
Am Timan Airport serves as a vital air transportation link in this landlocked Central African nation. Like all aviation facilities, it possesses unique codes assigned by global regulatory bodies:
- IATA Code: AMC (three-letter designation used for passenger services like ticketing and baggage handling)
- ICAO Code: FTTN (four-letter identifier for flight operations and air traffic control)
- Geographic Coordinates: 11° 2' 2.40" N latitude, 20° 16' 26.40" E longitude
These data points form the foundation for any aviation network analysis, revealing Am Timan's position within regional and global air transport systems.
II. Geographic Significance: Strategic Positioning and Development Potential
Located in central Chad, the airport's coordinates place it within a region where surface transportation alternatives are limited. Geographic data enables several analytical applications:
- Demographic Analysis: Correlating location data with population distribution helps estimate passenger traffic potential
- Economic Assessment: Mineral resources or tourism attractions near the airport influence cargo and passenger demand projections
- Safety Evaluation: Terrain mapping and meteorological patterns inform flight procedure development
III. Data Verification: Ensuring Information Integrity
Analysts must validate aviation data through multiple authoritative sources:
- IATA and ICAO official databases for code verification
- Geospatial information systems for precise coordinate confirmation
- Satellite imagery from mapping platforms for visual validation
Cross-referencing eliminates discrepancies that might occur in crowd-sourced platforms, maintaining data reliability for operational decisions.
IV. Practical Applications: Enhancing Aviation Operations
Am Timan's identifiers and location data support multiple optimization scenarios:
- Route Planning: Evaluating connectivity options with neighboring airports and hubs
- Resource Allocation: Matching ground services to flight schedules and passenger volumes
- Risk Management: Developing weather-aware operational protocols
V. The Future: Data-Driven Airport Development
Emerging technologies promise to transform regional airports like Am Timan through:
- Predictive analytics for passenger flow management
- IoT systems for infrastructure monitoring
- Automated inspection technologies
These advancements will leverage the fundamental data points discussed here to create safer, more efficient aviation networks across Africa's developing regions.