From 3acaaaa5601159f371c44c3035a0348b96b393f4 Mon Sep 17 00:00:00 2001
From: Alejandro Ruete <alejandro@greensway.se>
Date: Wed, 24 Feb 2021 14:44:13 +0100
Subject: [PATCH] no esquisse

---
 _.travis.yml         | 19 -------------------
 cran-comments.md     |  4 ++--
 man/exploreVisits.Rd |  2 +-
 3 files changed, 3 insertions(+), 22 deletions(-)
 delete mode 100644 _.travis.yml

diff --git a/_.travis.yml b/_.travis.yml
deleted file mode 100644
index 23a8d10..0000000
--- a/_.travis.yml
+++ /dev/null
@@ -1,19 +0,0 @@
-language: r
-os: linux
-dist: bionic
-cache: packages
-
-
-addons:
-  apt:
-    update: true
-    packages:
-    - libudunits2-dev
-    - libgdal-dev
-    - libproj-dev
-    - libgeos-dev
-
-env:
-  global:
-  - NOT_CRAN=true
-  
diff --git a/cran-comments.md b/cran-comments.md
index c84e2f7..d516da1 100644
--- a/cran-comments.md
+++ b/cran-comments.md
@@ -2,7 +2,7 @@
 * local Windows 10,  R version 4.0.2 (2020-06-22)
 * local Ubuntu 18.04.3 LTS, R version 4.0.2 (2020-06-22)
 * remote win-builder.r-project.org (/M6NUwM96x3e4/)
-* remote Github Actions Ubuntu 18.04.5 LTS, R version 4.0.2 (2020-06-22)
+* remote Github Actions Ubuntu 20.04 LTS, R version 4.0.2 (2020-06-22)
 
 ## R CMF check results
 There where no ERRORs, WARNINGs on local or remote buidls RMD check, 
@@ -27,4 +27,4 @@ During the coming releases compatibility issues with rgdal and sp may occur. We
 * sppreports() now gained the argument overlay to add overlay layers in the reports
 
 ## Downstream dependencies
-There are currently no downstream dependencies for this package
+There are currently no downstream dependencies for this package in CRAN
diff --git a/man/exploreVisits.Rd b/man/exploreVisits.Rd
index 305767c..bbb5e24 100644
--- a/man/exploreVisits.Rd
+++ b/man/exploreVisits.Rd
@@ -49,7 +49,7 @@ if(interactive()){
 # create a visit-based data object from the original observation-based data
 OB <- organizeBirds(bombusObs)
 visitStats <- exploreVisits(OB)
-esquisse::esquisser(visitStats)
+# esquisse::esquisser(visitStats)
 # alternatively, plot the variable you want, e.g.:
 # to see the distribution of distances covered on each visit
 hist(visitStats$effortDiam)