Summary
Highlights
Geographic data is collected by individuals for various purposes, such as researchers plotting disease spread or community advocates gathering traffic pattern data. Individuals typically record data through field observations (physically visiting locations and making written accounts, taking photos, or interviewing residents), travel narratives (written accounts of journeys, like those of Ibn Battuta), and media reports.
Organizations, including businesses and government agencies, collect geographic data on a much larger scale due to greater budgets. Examples include Google Maps collecting user data for traffic information and governments conducting censuses (like in the US every 10 years) to gather demographic information for policy decisions and representation allocation.
Data can be categorized into two main types: quantitative and qualitative. Quantitative data is numerical and deals with counts (e.g., number of houses or people). Qualitative data describes characteristics and qualities, providing insights into feelings or experiences (e.g., how residents feel about their neighborhood).
Geospatial technology is a broad term for hardware and software used to examine and measure geographical features. This includes GPS (Global Positioning System) for determining absolute location using satellite networks, GIS (Geographic Information Systems) software for analyzing geospatial data to answer research questions, and remote sensing. Remote sensing involves gathering information through satellite imagery for visualizing patterns (like population) and aerial photography for detailed information in specific areas.