From 9db2c7dde7d408cc4cdc38c4d88dfff0f11593a2 Mon Sep 17 00:00:00 2001 From: Josh Brinks Date: Sun, 7 Jan 2024 20:31:24 -0500 Subject: [PATCH] more workshop presentations --- .../sedac-open-science-brinks-01_09_24.html | 224 ++++++++++++++---- docs/presentations/water_cycle_nasa.jpg | Bin 0 -> 241562 bytes ...n_TX_201412_gldas_PETmE_1mo_201001_loi.png | Bin 0 -> 289739 bytes ...osite_Adjusted_201101-201112_1mo_panel.png | Bin 0 -> 407072 bytes ...site_Adjusted_200001-201412_12mo_panel.png | Bin 0 -> 1066320 bytes ...e_Adjusted_200001-201412_12mo_panel_50.png | Bin 0 -> 688254 bytes ...ica_Texas_201312_1mo_int__pop_exposure.png | Bin 0 -> 309406 bytes presentations/cube1.png | Bin 0 -> 45864 bytes presentations/cube2.png | Bin 0 -> 145978 bytes presentations/open_science_nasa.jpg | Bin 0 -> 282146 bytes .../sedac-open-science-brinks-01_09_24.qmd | 44 +++- presentations/water_cycle_nasa.jpg | Bin 0 -> 241562 bytes presentations/water_cycle_nasa_earth.jpg | Bin 0 -> 108151 bytes 13 files changed, 226 insertions(+), 42 deletions(-) create mode 100644 docs/presentations/water_cycle_nasa.jpg create mode 100644 presentations/Houston_TX_201412_gldas_PETmE_1mo_201001_loi.png create mode 100644 presentations/Texas_Composite_Adjusted_201101-201112_1mo_panel.png create mode 100644 presentations/United_States_Composite_Adjusted_200001-201412_12mo_panel.png create mode 100644 presentations/United_States_Composite_Adjusted_200001-201412_12mo_panel_50.png create mode 100644 presentations/United_States_of_America_Texas_201312_1mo_int__pop_exposure.png create mode 100644 presentations/cube1.png create mode 100644 presentations/cube2.png create mode 100644 presentations/open_science_nasa.jpg create mode 100644 presentations/water_cycle_nasa.jpg create mode 100644 presentations/water_cycle_nasa_earth.jpg diff --git a/docs/presentations/sedac-open-science-brinks-01_09_24.html b/docs/presentations/sedac-open-science-brinks-01_09_24.html index 97d1c10..e03f8d9 100644 --- a/docs/presentations/sedac-open-science-brinks-01_09_24.html +++ b/docs/presentations/sedac-open-science-brinks-01_09_24.html @@ -427,10 +427,10 @@ ); + + + @@ -490,7 +512,7 @@ } pre > code.sourceCode { white-space: pre; position: relative; } -pre > code.sourceCode > span { display: inline-block; line-height: 1.25; } +pre > code.sourceCode > span { line-height: 1.25; } pre > code.sourceCode > span:empty { height: 1.2em; } .sourceCode { overflow: visible; } code.sourceCode > span { color: inherit; text-decoration: inherit; } @@ -554,8 +576,8 @@ code span.vs { color: #f1fa8c; } code span.wa { color: #ff5555; } - - + +

Coding Narrative

Are we interested at all in teaching people how to code? Unlikely but then how do you address all the code.

-
# generate a vector of dates for subsetting
-keeps<-seq(lubridate::ymd("2000-01-01"),
-           lubridate::ymd("2014-12-01"), 
-           by = "month")
-           
-# filter using that vector
-wsim_gldas_anoms <- dplyr::filter(wsim_gldas_anoms, time %in% keeps)
-
-# verify the time dimension was properly subsetted
-print(wsim_gldas_anoms)
-
-# do a visual check with the first 6 time-steps
-wsim_gldas_anoms |>
-  dplyr::slice(index = 1:6, along = "time") |>
-  plot(key.pos = 1)
+
# generate a vector of dates for subsetting
+keeps<-seq(lubridate::ymd("2000-01-01"),
+           lubridate::ymd("2014-12-01"), 
+           by = "month")
+           
+# filter using that vector
+wsim_gldas_anoms <- dplyr::filter(wsim_gldas_anoms, time %in% keeps)
+
+# verify the time dimension was properly subsetted
+print(wsim_gldas_anoms)
+
+# do a visual check with the first 6 time-steps
+wsim_gldas_anoms |>
+  dplyr::slice(index = 1:6, along = "time") |>
+  plot(key.pos = 1)

Outputs and Analyses

@@ -1352,9 +1411,14 @@

Outputs and Analyses

Composite Surplus and Deficit Maps

Twelve month integration maps illustrate the observed drought or flooding of an area relative to a long term baseline period.

+
+
+

+
+
+
+

Composite Surplus and Deficit Maps (cont.)

+

Now you can zoom in on an area of interest with a monthly time series.

+
+
+

+
+
+

Location of Interest

Point location time series figures illustrate long term trends for a single location on a month to month basis.

+
+
+

+
+