Course overview
Data collected across varying spatial locations require specialist statistical techniques to explore. Spatially autocorrelated data appears across a vast array of fields and industries including aerial image processing, astronomy, ecology, engineering, environmental sciences, epidemiology, forestry, energy, spatial economics and transportation, making this course particularly useful for anyone working, or planning across these areas. Spatial data tends to appear in one of three forms: geostatistical data, lattice data and point pattern data. This course will introduce the varying probabilistic and statistical methods used to analyse all three.
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