Statistics : Measurement of Central Tendancy

Quantitative techniques in geography use mathematical and statistical methods to analyze spatial and non-spatial data. These include data collection (field surveys, census), statistical analysis (descriptive and inferential), and modeling (gravity models, climate models). Geospatial tools like GIS and remote sensing are essential for mapping and spatial analysis. Applications span physical geography (climate, erosion), human geography (population, urban studies), economic geography (market analysis, regional planning), and environmental studies (biodiversity, pollution). These techniques enhance objectivity, visualization, and decision-making in research. However, they require technical expertise, quality data, and can oversimplify complex phenomena. Despite limitations, they are vital for addressing modern spatial and environmental challenges effectively.