From 18dad0c0cfd39da2e993fc39c72311e4afeb3bc1 Mon Sep 17 00:00:00 2001 From: Jeffrey Hanson Date: Sun, 5 Dec 2021 19:38:26 +1300 Subject: [PATCH] fix typo in docs --- R/wdpa_clean.R | 2 +- docs/pkgdown.yml | 2 +- docs/reference/Rplot001.png | Bin 1011 -> 58415 bytes docs/reference/wdpa_clean.html | 2 +- man/wdpa_clean.Rd | 2 +- 5 files changed, 4 insertions(+), 4 deletions(-) diff --git a/R/wdpa_clean.R b/R/wdpa_clean.R index 554f37b..3ffc11f 100644 --- a/R/wdpa_clean.R +++ b/R/wdpa_clean.R @@ -152,7 +152,7 @@ NULL #' This function can be used to clean large datasets assuming that #' sufficient computational resources and time are available. #' Indeed, it can clean data spanning large countries, multiple -#' countries, and even the full global datatset. +#' countries, and even the full global dataset. #' When processing the full global dataset, it is recommended to use a #' computer system with at least 32 GB RAM available and to allow for at least #' one full day for the data cleaning procedures to complete. diff --git a/docs/pkgdown.yml b/docs/pkgdown.yml index a6fb50b..c9c560c 100644 --- a/docs/pkgdown.yml +++ b/docs/pkgdown.yml @@ -3,5 +3,5 @@ pkgdown: 2.0.1 pkgdown_sha: ~ articles: wdpar: wdpar.html -last_built: 2021-12-04T19:41Z +last_built: 2021-12-05T06:37Z diff --git a/docs/reference/Rplot001.png b/docs/reference/Rplot001.png index 17a358060aed2a86950757bbd25c6f92c08c458f..b0823bba28322697be3b5b742220a75162703d00 100644 GIT binary patch literal 58415 zcmZs?byQnj)INw)oT9~PfkN>X*FY%+inX|h7Iz750gALhaVZ+CxVr}_Ufc=p?oLQ1 z?>F=NK_- z;;FlDbGyntqA7AR#CU$Wb-Qg0#B`D=2HFwnX@v@G|Dz#&hJ_I%!~DO7@sNMGqeaMo zSFu=2*U&CT zfQB|_jVeInT4#XJG>p}GJw^rMyqEsc+HMI=(ggYB!u*V$L{WxtPu_rnV2^MM1Bty- z1hm|3TckUV7znXzy)Ya8?p%{s3lO2*(3NXDCbSN0 z>%ZENDj*OieG0;#MBcl1j&wqlB43n3Iy4i@9xTG9k+V0y=UNf1OkSj-bbI*RD`uJL zfe9p^E3=>C@a8j&CN$)NnTh%&9@XSedvqI` z+Q9H22~Yi1sU7cO)|63~6>>SVW+hte??4|Yh40VGL^lKCO4H!cbf|)$?asq_@ 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zcmeAS@N?(olHy`uVBq!ia0y~yV0-|=9Be?5+AI5}0x7m6Z+90U4Fo@(ch>_c&H|6f zVg?3oArNM~bhqvg0|WD9PZ!6KiaBo&GBN^{G%5UFpXcEKVvd5*5Eu=C0SJK)8A6*F U7`aXvEC5;V>FVdQ&MBb@00SN#Z2$lO diff --git a/docs/reference/wdpa_clean.html b/docs/reference/wdpa_clean.html index 76b70c4..4d306cb 100644 --- a/docs/reference/wdpa_clean.html +++ b/docs/reference/wdpa_clean.html @@ -212,7 +212,7 @@

Recommended practices for large datasets

This function can be used to clean large datasets assuming that sufficient computational resources and time are available. Indeed, it can clean data spanning large countries, multiple -countries, and even the full global datatset. +countries, and even the full global dataset. When processing the full global dataset, it is recommended to use a computer system with at least 32 GB RAM available and to allow for at least one full day for the data cleaning procedures to complete. diff --git a/man/wdpa_clean.Rd b/man/wdpa_clean.Rd index ff02186..b7f9669 100644 --- a/man/wdpa_clean.Rd +++ b/man/wdpa_clean.Rd @@ -172,7 +172,7 @@ the field \code{"AREA_KM2"}. This function can be used to clean large datasets assuming that sufficient computational resources and time are available. Indeed, it can clean data spanning large countries, multiple -countries, and even the full global datatset. +countries, and even the full global dataset. When processing the full global dataset, it is recommended to use a computer system with at least 32 GB RAM available and to allow for at least one full day for the data cleaning procedures to complete.