Updated README files and installation.rst. Moved package geopandas to conda dependencies.

README.md

@@ -16,6 +16,9 @@
 [![build status](https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/build.svg)](https://gitext.gfz-potsdam.de/danschef/arosics/commits/master)
 [![coverage report](https://gitext.gfz-potsdam.de/danschef/arosics/badges/master/coverage.svg)](http://danschef.gitext.gfz-potsdam.de/arosics/coverage/)
 [![pypi_status](https://img.shields.io/pypi/v/arosics.svg)](https://pypi.python.org/pypi/arosics)
+[![license](https://img.shields.io/pypi/l/arosics.svg)](https://gitext.gfz-potsdam.de/danschef/arosics/blob/master/LICENSE)
+[![python versions](https://img.shields.io/pypi/pyversions/arosics.svg)]()
+
 
 See also the latest [coverage](http://danschef.gitext.gfz-potsdam.de/arosics/coverage/) and the [nosetests](http://danschef.gitext.gfz-potsdam.de/arosics/nosetests_reports/nosetests.html) HTML report.
 
@@ -58,8 +61,12 @@ Using [conda](https://conda.io/docs/), the recommended approach is:
 # create virtual environment for arosics, this is optional
 conda create -y -q --name arosics python=3
 source activate arosics
-conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely
-conda install -y -q -c conda-forge pyfftw basemap pykrige  # these libraries are optional
+conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely geopandas
+
+# optional libraries:
+conda install -y -q -c conda-forge basemap pykrige
+conda install -y -q -c conda-forge pyfftw  # Linux and MacOS
+conda install -y -q -c jesserobertson pyfftw  # Windows
 ```
 
 To install AROSICS, use the pip installer:

README.rst

@@ -29,6 +29,10 @@ Status
         :target: http://danschef.gitext.gfz-potsdam.de/arosics/coverage/
 .. image:: https://img.shields.io/pypi/v/arosics.svg
         :target: https://pypi.python.org/pypi/arosics
+.. image:: https://img.shields.io/pypi/l/arosics.svg
+        :target: https://gitext.gfz-potsdam.de/danschef/arosics/blob/master/LICENSE
+.. image:: https://img.shields.io/pypi/pyversions/arosics.svg
+        :target:
 
 See also the latest coverage_ report and the nosetests_ HTML report.
 
@@ -52,8 +56,12 @@ Using conda_, the recommended approach is:
     # create virtual environment for arosics, this is optional
     conda create -y -q --name arosics python=3
     source activate arosics
-    conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely
-    conda install -y -q -c conda-forge pyfftw basemap pykrige  # these libraries are optional
+    conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely geopandas
+
+    # optional libraries:
+    conda install -y -q -c conda-forge basemap pykrige
+    conda install -y -q -c conda-forge pyfftw  # Linux and MacOS
+    conda install -y -q -c jesserobertson pyfftw  # Windows
 
 
 To install AROSICS, use the pip installer:

docs/installation.rst

@@ -14,8 +14,12 @@ Using conda_, the recommended approach is:
     # create virtual environment for arosics, this is optional
     conda create -y -q --name arosics python=3
     source activate arosics
-    conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely
-    conda install -y -q -c conda-forge pyfftw basemap pykrige  # these libraries are optional
+    conda install -y -q -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely geopandas
+
+    # optional libraries:
+    conda install -y -q -c conda-forge basemap pykrige
+    conda install -y -q -c conda-forge pyfftw  # Linux and MacOS
+    conda install -y -q -c jesserobertson pyfftw  # Windows
 
 
 Stable release

requirements_pip.txt

 cmocean
-geopandas
 spectral
 plotly
 six

tests/CI_docker/context/arosics_ci.docker

@@ -16,9 +16,9 @@ RUN /bin/bash -i -c "source /root/anaconda3/bin/activate ; \
     conda install --yes pyqt; \
     conda install --yes -c conda-forge pyfftw=0.10.4 ; \
     conda install --yes -c ioam holoviews bokeh ; \
-    conda install --yes -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely basemap pykrige; \
+    conda install --yes -c conda-forge numpy gdal scikit-image matplotlib pyproj rasterio shapely basemap pykrige geopandas; \
     conda install --yes -c conda-forge 'icu=58.*' lxml ; \
-    pip install geopandas dicttoxml jsmin cerberus pyprind pint iso8601 tqdm mpld3 sphinx-argparse spectral \
+    pip install dicttoxml jsmin cerberus pyprind pint iso8601 tqdm mpld3 sphinx-argparse spectral \
         geoarray>=0.6.12 py_tools_ds>=0.9.1 plotly flake8 pycodestyle pylint pydocstyle coverage nose nose2 \
         nose-htmloutput rednose"   # must include all the requirements needed to build the docs!