use zipfiles

REQUIRE

@@ -22,3 +22,4 @@ DataFrames
 RDatasets
 BinaryProvider
 StatsMakie
+ZipFile

examples/bigdata.jl

@@ -2,7 +2,7 @@
     @cell "WorldClim visualization" [visualization, dataset, bigdata] begin
         # fixes for GDAL messing with LD library path and therefore using wrong curl
         # for downloads
-        using FileIO, GeometryTypes, Colors, GDAL, BinaryProvider
+        using FileIO, GeometryTypes, Colors, GDAL, ZipFile
         env = ENV["LD_LIBRARY_PATH"]
         #=
         This example requires the GDAL package, from https://github.com/JuliaGeo/GDAL.jl
@@ -16,9 +16,17 @@
 
 
         # set up 7zip
-        exe7z = BinaryProvider.gen_unpack_cmd("bla.zip", "dest").a[1]
 
-        unzip(in, out) = run(`$exe7z x -y $in -o$out`)
+        function unzip(input, out)
+            dir = ZipFile.Reader(input)
+            mkpath(out)
+            for file in dir.files
+                open(joinpath(out, file.name), "w") do io
+                    Base.write(io, read(file))
+                end
+            end
+            close(dir)
+        end
 
         # function to read the raster data from the GeoTIFF
         function loadf0(x)
@@ -48,14 +56,14 @@
                 download("http://biogeo.ucdavis.edu/data/worldclim/v2.0/tif/base/wc2.0_10m_$name.zip", "$name.zip")
             end
             if !isdir(name)
-                #BinaryProvider.unpack("$name.zip", name)  doesn't work -.-
                 unzip("$name.zip", name)
             end
             ENV["LD_LIBRARY_PATH"] = env
             loadf0.(filter(istiff, joinpath.(name, readdir(name))))
         end
 
         # load the actual datasets!
+
         water = load_dataset("prec")
         temperature = load_dataset("tmax")
 

test/REQUIRE

@@ -1,2 +1,3 @@
 Makie
 GLMakie
+ZipFile