GEOG457

Spatial statistics concerns the quantitative analysis of spatial and spatiotemporal data, including their statistical dependencies, accuracy, precision, and uncertainties. Spatial statistical methods and techniques are typically found in probability theory, stochastic modelling, and mathematical statistics as well as in information science, inclusive of Geographic Information Science and machine learning. Spatial statistics is used in mapping, assessment of spatial data quality, sampling design, optimization, modelling of spatial dependence, and testing of spatial hypotheses. Application fields include the physical domains (e.g., agriculture, geology, hydrology, ecology, oceanography, forestry, air quality) and the socioeconomic domains (e.g., econometrics, epidemiology, transportation, criminology, geospatial intelligence). In this course, you will learn how to apply spatial statistical and spatial data mining techniques to both domains to solve research problems in geography, regional development, and planning.