From fc96862c5f31255c1200390128ea89a7d4aad2a8 Mon Sep 17 00:00:00 2001
From: vwmaus <maus@iiasa.ac.at>
Date: Sun, 27 Nov 2016 12:22:01 +0100
Subject: [PATCH] Update refererences

---
 README.Rmd    |  2 +-
 README.md     | 12 ++++++++++++
 inst/CITATION | 10 +++++-----
 3 files changed, 18 insertions(+), 6 deletions(-)

diff --git a/README.Rmd b/README.Rmd
index 16dae6d..a50b4d0 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -80,7 +80,7 @@ matches = twdtwApply(x=ts, y=patt, weight.fun=log_fun, keep=TRUE)
 ```
 
 The result is a `twdtwMatches` object with all possible matches of the patterns to the time series 
-```{r show-twdtw, echo = TRUE, eval = TRUE}
+```{r show-twdtw, echo = TRUE, eval = TRUE, results='markup'}
 class(matches)
 show(matches)
 ```
diff --git a/README.md b/README.md
index 50a281d..cfff543 100644
--- a/README.md
+++ b/README.md
@@ -59,9 +59,21 @@ The result is a `twdtwMatches` object with all possible matches of the patterns
 
 ``` r
 class(matches)
+```
+
+    ## [1] "twdtwMatches"
+    ## attr(,"package")
+    ## [1] "dtwSat"
+
+``` r
 show(matches)
 ```
 
+    ## An object of class "twdtwMatches"
+    ## Number of time series: 1 
+    ## Number of Alignments: 16 
+    ## Patterns labels: Soybean Cotton Maize
+
 We can use several plot methods to visualize the results of the analysis in the `twdtwMatches` object, for example, to plot the alignments
 
 ``` r
diff --git a/inst/CITATION b/inst/CITATION
index 2420c76..bf3f6a9 100644
--- a/inst/CITATION
+++ b/inst/CITATION
@@ -5,13 +5,13 @@ citEntry(
   journal="Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of",
   title="A Time-Weighted Dynamic Time Warping Method for Land-Use and Land-Cover Mapping",
   year="2016",
-  volume="PP",
-  number="99",
-  pages="1-11",
+  volume="9",
+  number="8",
+  pages="3729-3739",
   doi="10.1109/JSTARS.2016.2517118",
   ISSN="1939-1404",
-  month="",
-  textVersion="Victor Maus, Gilberto Camara, Ricardo Cartaxo, Alber Sanchez, Fernando M. Ramos, Gilberto R. de Queiroz (2016). A Time-Weighted Dynamic Time Warping method for land use and land cover mapping. in Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol.PP, no.99, pp.1-11, 
+  month="Aug",
+  textVersion="Victor Maus, Gilberto Camara, Ricardo Cartaxo, Alber Sanchez, Fernando M. Ramos, Gilberto R. de Queiroz (2016). A Time-Weighted Dynamic Time Warping method for land use and land cover mapping. in Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, vol.9, no.8, pp.3729-3739, 
 doi: 10.1109/JSTARS.2016.2517118." 
 )