Merge pull request #18 from verbe039/gh-pages

improved the organisation of the data folder, and md file

README.md

@@ -1,9 +1,7 @@
 <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by-sa/4.0/80x15.png" /></a><br /><span xmlns:dct="http://purl.org/dc/terms/" property="dct:title"></a>
 
-# [VectorRaster](http://geoscripting-wur.github.io/VectorRaster/)
 
-R tutorial written for the [geoScripting] course taught at Wageningen University that explains how to deal with combined vector raster challenges.
 
-The tutorial was originally written in 2015 by [Loïc Dutrieux](http://www.loicdutrieux.com/).
+This R tutorial is written for the Geoscripting course, part of the [Master in Geo-information science](https://www.wur.nl/en/Education-Programmes/master/MSc-programmes/MSc-GeoInformation-Science.htm) at Wageningen University.
 
-Solutions of the exercise are available on a private bitbucket repository [here](https://bitbucket.org/dutri001/exercisevectorraster). Just request access if you need them.
+When you have questions about it feel free to submit an issue or suggestions via Github.

data/Water.prj

@@ -0,0 +1 @@
+PROJCS["Amersfoort_RD_New",GEOGCS["GCS_Amersfoort",DATUM["D_Amersfoort",SPHEROID["Bessel_1841",6377397.155,299.1528128]],PRIMEM["Greenwich",0],UNIT["Degree",0.017453292519943295]],PROJECTION["Double_Stereographic"],PARAMETER["latitude_of_origin",52.15616055555555],PARAMETER["central_meridian",5.38763888888889],PARAMETER["scale_factor",0.9999079],PARAMETER["false_easting",155000],PARAMETER["false_northing",463000],UNIT["Meter",1]]

data/Water.qpj

@@ -0,0 +1 @@
+PROJCS["Amersfoort / RD New",GEOGCS["Amersfoort",DATUM["Amersfoort",SPHEROID["Bessel 1841",6377397.155,299.1528128,AUTHORITY["EPSG","7004"]],TOWGS84[565.417,50.3319,465.552,-0.398957,0.343988,-1.8774,4.0725],AUTHORITY["EPSG","6289"]],PRIMEM["Greenwich",0,AUTHORITY["EPSG","8901"]],UNIT["degree",0.0174532925199433,AUTHORITY["EPSG","9122"]],AUTHORITY["EPSG","4289"]],PROJECTION["Oblique_Stereographic"],PARAMETER["latitude_of_origin",52.15616055555555],PARAMETER["central_meridian",5.38763888888889],PARAMETER["scale_factor",0.9999079],PARAMETER["false_easting",155000],PARAMETER["false_northing",463000],UNIT["metre",1,AUTHORITY["EPSG","9001"]],AXIS["X",EAST],AXIS["Y",NORTH],AUTHORITY["EPSG","28992"]]

index.html

@@ -1337,7 +1337,7 @@ <h2 id="crop-mask-and-visualise">Crop, Mask and visualise</h2>
 <span class="glyphicon glyphicon-chevron-down"></span> R output
 </button>
 <pre style=""><code class="output r">## Reading layer `Water' from data source 
-##   `/Users/verbe039/Git/GIT_GeoScripting/2021/VectorRaster/data/Water.shp' 
+##   `/Users/verbe039/Git/GIT_GeoScripting/2021/Forks/VectorRasterFork/data/Water.shp' 
 ##   using driver `ESRI Shapefile'
 ## Simple feature collection with 632 features and 32 fields
 ## Geometry type: POLYGON