update to 0.3.1 by geospark scala package 1.3.1

.Rbuildignore

@@ -1,7 +1,8 @@
+^CRAN-RELEASE$
 ^.*\.Rproj$
 ^\.Rproj\.user$
 ^\.travis\.yml$
 Reference.md$
 ^docs/
 ^logs$
-^derby\.log$
+^derby\.log$

DESCRIPTION

@@ -1,17 +1,17 @@
 Package: geospark
 Type: Package
 Title: Bring Local Sf to Spark
-Version: 0.2.1
+Version: 0.3.1
 Authors@R: c(
     person("Harry", "Zhu", email = "[email protected]", role = c("aut", "cre")),
     person("Javier", "Luraschi", email = "[email protected]", role = c("ctb"))
     )
 Maintainer: Harry Zhu <[email protected]>
 BugReports: https://github.com/harryprince/geospark/issues
 Description: R binds 'GeoSpark' <http://geospark.datasyslab.org/> extending 'sparklyr' 
-    <https://spark.rstudio.com/> R package to make distributed geocomputing easier. Sf is a
-    package that provides [simple features](https://en.wikipedia.org/wiki/Simple_Features) access
-    for R and which is a leading geospatial data processing tool. Geospark R package bring 
+    <https://spark.rstudio.com/> R package to make distributed 'geocomputing' easier. Sf is a
+    package that provides [simple features] <https://en.wikipedia.org/wiki/Simple_Features> access
+    for R and which is a leading 'geospatial' data processing tool. 'Geospark' R package bring 
     the same simple features access like sf but running on Spark distributed system.
 License: Apache License (>= 2.0)
 Encoding: UTF-8
@@ -24,4 +24,4 @@ Imports:
   dbplyr (>= 1.3.0)
 RoxygenNote: 6.1.1
 Suggests:
-  testthat, knitr
+  testthat, knitr, utils

R/dependencies.R

@@ -1,9 +1,9 @@
 spark_dependencies <- function(spark_version, scala_version, ...) {
   sparklyr::spark_dependency(
     packages = c(
-      paste0("org.datasyslab:geospark-sql_",sparklyr::spark_dependency_fallback(spark_version, c("2.1", "2.2", "2.3")),":1.2.0"),
+      paste0("org.datasyslab:geospark-sql_",sparklyr::spark_dependency_fallback(spark_version, c("2.1", "2.2", "2.3")),":1.3.1"),
       "com.vividsolutions:jts-core:1.14.0",
-      "org.datasyslab:geospark:1.2.0"
+      "org.datasyslab:geospark:1.3.1"
     ),
     initializer = function(sc, ...) {
       register_gis(sc)

R/st_example.R

@@ -6,6 +6,7 @@
 #' @examples
 #' library(geospark)
 #' library(sparklyr)
+#' library(utils)
 #' 
 #' # use the proper master, like 'local', 'yarn', etc.
 #' sc <- spark_connect(master = "spark://HOST:PORT")
@@ -19,7 +20,7 @@
 #' 
 #' @export
 st_example <- function(sc, geom = "polygons") {
-    geoms <- read.table(system.file(package="geospark",sprintf("examples/%s.txt",geom)), sep="|")
+    geoms <- utils::read.table(system.file(package="geospark",sprintf("examples/%s.txt",geom)), sep="|")
     switch (geom,
         "polygons" = {
             colnames(geoms) <- c("area","geom")