1 / 6

Spatial statistics

Spatial statistics. What is spatial statistics? Refers to a very broad collection of methods and techniques of visualization, exploration and analysis applied to data with spatial stucture. Spatiotemporal-when time is involved Why is it useful? A lot of data contain geographic information

lharden
Download Presentation

Spatial statistics

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Spatial statistics • What is spatial statistics? • Refers to a very broad collection of methods and techniques of visualization, exploration and analysis applied to data with spatial stucture. • Spatiotemporal-when time is involved • Why is it useful? • A lot of data contain geographic information • Interest in studying response patterns over a particular region • Ignoring the spatial structure -> spurious results • A few examples. • Meteorology –weather patterns over a country/region • Environmental Science –pollutant concentrations over an area • Epidemiology –disease monitoring

  2. Properties of computer experiments • Computer experiments refer to those experiments that are performed in computers using physical models and finite element analysis. • Deterministic outputs (no random error) • No replicates required • Interpolation • Large number of variables • Time-consuming, expensive

  3. Computer experiments modeling • Universal kriging • Ordinary kriging

  4. Estimation

  5. Kriging example

  6. . • ordinary kriging predictor: 23

More Related