From de4e57ccea4b238ae3905b3b4b90e02368fba07b Mon Sep 17 00:00:00 2001 From: bleutner Date: Mon, 7 Sep 2015 20:24:03 +0200 Subject: [PATCH 1/2] maybe fix UBSAN issue --- src/classQA.cpp | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/src/classQA.cpp b/src/classQA.cpp index a0ded533..1a658907 100644 --- a/src/classQA.cpp +++ b/src/classQA.cpp @@ -5,7 +5,7 @@ IntegerVector classQA(NumericVector& x, NumericMatrix rcl){ int xs = x.size(); int rclr = rcl.nrow(); IntegerVector out(xs); - std::fill(out.begin(), out.end(), NumericVector::get_na() ); + std::fill(out.begin(), out.end(), IntegerVector::get_na() ); for(int r = 0; r < rclr; r++){ for(int j = 0; j < xs; j++){ if(rcl(r,0) == x[j]) out[j] = rcl(r,1); From 9c5220d6026978193f07a230321652dff7bf8032 Mon Sep 17 00:00:00 2001 From: Konstantin Date: Tue, 23 Jan 2024 09:02:19 +0100 Subject: [PATCH 2/2] preparations for gh-pages --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 3e40e2bd..005054ad 100644 --- a/README.md +++ b/README.md @@ -4,7 +4,7 @@ [![CRAN version](https://www.r-pkg.org/badges/version/RStoolbox)](https://CRAN.R-project.org/package=RStoolbox) [![codecov](https://codecov.io/gh/bleutner/RStoolbox/branch/master/graph/badge.svg)](https://app.codecov.io/gh/bleutner/RStoolbox) -RStoolbox is an R package providing a wide range of tools for your every-day remote sensing processing needs. The available tool-set covers many aspects from data import, pre-processing, data analysis, image classification and graphical display. RStoolbox builds upon the raster package, which makes it suitable for processing large data-sets even on smaller workstations. Moreover in most parts decent support for parallel processing is implemented. +RStoolbox is an R package providing a wide range of tools for your every-day remote sensing processing needs. The available tool-set covers many aspects from data import, pre-processing, data analysis, image classification and graphical display. RStoolbox builds upon the terra package, which makes it suitable for processing large data-sets even on smaller workstations. For more details have a look at the [functions overview](http://bleutner.github.io/RStoolbox/rstbx-docu/RStoolbox.html).