mv to hymet

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: kostra2020
 Title: R Interface for KOSTRA-DWD-2020 Dataset
-Version: 1.4.2
-Date: 2024-04-03
+Version: 1.5.0
+Date: 2024-05-28
 Authors@R: 
     person("Dimitri", "Falk", , "[email protected]", role = c("aut", "cre"))
 Description: Extract cell-specific precipitation statistics from KOSTRA-DWD-2020.
@@ -24,9 +24,7 @@ Imports:
     tidygeocoder,
     tidyr,
     units,
-    webshot,
-    xts,
-    zoo
+    webshot
 Suggests: 
     covr,
     testthat (>= 3.0.0)

NAMESPACE

@@ -2,7 +2,6 @@
 
 export(as_depth)
 export(as_yield)
-export(calc_designstorm)
 export(get_centroid)
 export(get_depth)
 export(get_idx)
@@ -15,5 +14,4 @@ export(idx_exists)
 export(plot_idf)
 export(view_spatial)
 export(write_stats)
-import(sf)
 import(webshot)

NEWS.md

@@ -1,4 +1,4 @@
-# version 1.4.2
+# version 1.5.0
 
 ## features
 
@@ -26,9 +26,7 @@
 ## features
 
 - `get_pdepth()` now allows to determine statistical precipitation depths
-- `calc_pen()` now allows extrapolation of statistical precipitation based on PEN-LAWA (Verworn & Kummer 2006, Verworn & Draschoff 2008)
 - `get_centroid()` now allows determination of coordinates based on municipality names and postal codes
-- `calc_designstorm()` now allows generation of modelled rainfall from statistical precipitation
 - `get_returnp()` now allows interpolation of return periods with `interpolate = TRUE`
 
 
@@ -47,5 +45,3 @@
 ## bug fixes 
 
 - `get_returnp()` now returns consistent output for tn < 1 and tn > 100
-- `calc_designstorm()` now accepts `d = 5` as argument
-- `get_returnp()` now also works on tibbles returned by `calc_pen()`

R/idx_build.R

@@ -1,7 +1,7 @@
 #' Build "INDEX_RC" identifier based on given row and column information
 #'
-#' @param row integer. Row number, one pick from set {0:299}.
-#' @param col integer. Column number, one pick from set {0:299}.
+#' @param row integer. Row number, one pick from set \{0:299\}.
+#' @param col integer. Column number, one pick from set \{0:299\}.
 #'
 #' @return character. Unique representation of the relevant "INDEX_RC" field.
 #' @export

README.Rmd

@@ -196,17 +196,6 @@ Although it may be somewhat questionable from a scientific perspective, you migh
 get_returnp(stats, hn = 86.2, d = 1440, interpolate = TRUE)
 ```
 
-### Design storm generation
-
-Furthermore, statistical precipitation depths can be used to create design storm time series data. Currently, Euler Type I + II are implemented.
-
-```{r, warning = FALSE}
-# Euler Type II design storm with a duration of 60 minutes and a return period of 100 a.
-xts <- calc_designstorm(stats, d = 60, tn = 100, type = "EulerII")
-
-xts
-```
-
 ### Further utilization
 
 Data can now additionally be visualized as intensity-duration-frequency curves using `plot_idf()`, underpinned by `{ggplot2}` ...
@@ -215,7 +204,7 @@ Data can now additionally be visualized as intensity-duration-frequency curves u
 plot_idf(stats, log10 = TRUE)
 ```
 
-.. or exported to disk using `write_stats()` based on `write.table()`.
+... or exported to disk using `write_stats()` based on `write.table()`.
 
 ## Contributing