1 / 21

NR 322: Interpolation

NR 322: Interpolation. Jim Graham Fall 2008 Chapters 7 and 8. US Temperature Range. Map of Species Richness. Interpolation. Interpolation is a method of constructing new data points within the range of a discrete set of known data points. Interpolation (IDW). Simple Interpolation. 50.

lowell
Télécharger la présentation

NR 322: Interpolation

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. NR 322: Interpolation Jim Graham Fall 2008 Chapters 7 and 8

  2. US Temperature Range

  3. Map of Species Richness

  4. Interpolation • Interpolation is a method of constructing new data points within the range of a discrete set of known data points.

  5. Interpolation (IDW)

  6. Simple Interpolation 50 40 35 Measured Values 20 Spatial Cross-section

  7. Simple Interpolation 50 40 35 Measured Values 20 Spatial Cross-section

  8. Simple Interpolation 50 40 35 Measured Values 20 55 47 42 36 36 37 38 40 34 28 21 Spatial Cross-section

  9. Spline Interpolation 50 40 35 Measured Values 20 55 48 42 35 35 37 38 40 36 28 22 Spatial Cross-section

  10. First law of Geography • Everything is related to everything else, but near things are more related than distant things • TOBLER, W. R. (1970). "A computer movie simulating urban growth in the Detroit region". Economic Geography, 46(2): 234-240.

  11. Process • Obtain points with measurements • Interpolate between the points using: • Inverse Distance Weighting • Kriging • Splines • Convert the raster to vector using contours

  12. Vector (Points) to Rater • Interpolation • IDW • Kriging • Splines • Density

  13. Inverse Distance Weighting • Points closer to the pixel have more “weight”

  14. IDW – Variable Radius

  15. IDW – Fixed Radius

  16. Inverse Distance Weighting

  17. Spline • Spline type: Tension • Increase “Weight” or decrease the “Number of points”

  18. Splines

  19. Kriging • See the Geostatistical Analyst • NR/ST523 - Quantitative Spatial Analysis • NR512 - Introduction to Spatial Statistical Modeling of Natural Resources

  20. Kriging

  21. Geostatistical Analyst • Provides much more control over interpolation

More Related