Stat 406 - lecture notes

• Part 0, 14 Jan: Introduction, examples
• Part 1, 16 Jan: Locations, Distances
• Part 2, 21, 23 Jan: Visualization, Spatial Sampling
• Part 3a, 28, 30 Jan: Inverse distance prediction, Trend models, Kriging
  With lecture annotations for 30 Jan (starts at slide 32)
• Part 3b, 6 Feb: Semivariograms, models and estimates, Isotropy and Anisotropy, Other forms of kriging
  With lecture annotations for 6, 11 and 13 Feb
• Part 3c, 18 Feb: Designing a spatial sample, intro to cokriging
  If you want more info, read Chapter 5 of Oliver and Webster, 2015. Available online from the ISU library (need to be on campus or using a VPN connection).
• Part 4, 20 Feb: Spatial linear models for geostatistical data
• Part 5a, 25 Feb: Areal data, part 1, Summaries of spatial association (Moran's I, Geary's c), Local indicators
  With lecture annotations for 27 Feb and 3 Mar
• Part 5b, 3 Mar: Areal data, part 2, modeling
• Part 5c, 10 or 12 Mar: Areal data, part 3, smoothing
• 24 March: Spatial point patterns, part 6 Today covered through slide 25.
  Annotated notes
  Recording of lecture, part 1 This is a 78 Mb mp4 file.
  No recording for part 2, my bad. I forgot to check that I had turned on recording. I hadn't.
• 26 March: F, K and L functions part 6 Today covered slides 26 - 48.
  Annotated notes
  Recording of lecture, part 1 This is a 132 Mb mp4 file.
  Second half of class was "lab time" and not recorded.
• 31 March: pair correction = g() function; kernel smoothing part 6 Today covered slides 49 - 66.
  Annotated notes (Annotations are cumulative)
  Recording of lecture This is a 117 Mb mp4 file.
  Second half of class was "lab time" and not recorded.
• 2 April: excess cases, bootstrapping part 6 Today covered slides 67 - end.
  Annotated notes for part 6 (Annotations are cumulative)
  Recording of lecture, part 1 This is a 108 Mb mp4 file.
  

  estimating intensity part 6b Today covered slides 1-14
  Annotated notes for part 6b
  Recording of lecture, part 2 This is a 107 Mb mp4 file.

• 7 April: estimating intensity part 6b Today covered slides 15-40.
  Annotated notes for part 6b (Annotations are cumulative)
  Recording of lecture, part 1 This is a 101 Mb mp4 file.
  Recording of lecture, part 2 This is a 76 Mb mp4 file.
• 9 April: finished estimating intensity (part 6b, slides 41-44)
  Space-time point processes: part 6c
  Annotated notes for part 6c
  Recording of lecture, part 1 This is a 85 Mb mp4 file.
  Recording of lecture, part 2 This is a 105 Mb mp4 file.
• 14 April: Space-time geostatistical data: part 7
  Annotated notes for part 7
  Recording of lecture, part 1 This is a 97 Mb mp4 file.
  The second part of class was lab time and not recorded.
• 16 April: Space-time geostatistical data: part 7
  Annotated notes for part 7
  Recording of lecture, part 1 Empirical orthogonal functions. This is a 101 Mb mp4 file.
  Recording of lecture, part 2 Space-time kriging. This is a 76 Mb mp4 file.
• 21 April: Combining data part 8
  Annotated notes for part 8
  Recording of lecture, part 1 Combining spatial data. This is a 152 Mb mp4 file.
• 21 April: Spatial simulation part 9
  Annotated notes for part 9
  Recording of lecture, part 2 Simulating geostatistical data. This is a 95 Mb mp4 file. I did not talk about the last part of the notes, on simulating point pattern data.
• 23 April: Case studies part 11
  Annotated notes for part 11
  Recording of lecture, part 1 Walk through of Curtis et al 2019. This is a 78 Mb mp4 file.
  Recording of lecture, part 2 Walk through of Elson et al 2020; class wrap up. This is a 85 Mb mp4 file.
• 23 April: Course summary (14 weeks in 10 minutes) part 12
  No annotations. Video is at the end of Recording of lecture, part 2
• 23 April: More about splines (nonparametric regression), optional part 10