add package list

Author: giswqs

README.md

@@ -1,6 +1,6 @@
 # python-geospatial
 
-A collection of Python packages for geospatial analysis with binder-ready notebook examples.
+A collection of Python packages for geospatial analysis with binder-ready notebook examples. Launch the interactive notebook tutorials with mybinder.org or binder.pangeo.io test all the pre-installed Python pakcages for geospatial analysis.
 
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/python-geospatial/master)
 [![Pangeo](http://binder.pangeo.io/badge.svg)](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master)
@@ -10,9 +10,11 @@ A collection of Python packages for geospatial analysis with binder-ready notebo
 Author: Qiusheng Wu (https://wetlands.io | [email protected])
 
 
+## Installation
 
+It is highly recommended that you use the [conda](https://conda.io/docs/index.html) package manager to install all the requirements. You can either install [Miniconda](https://conda.io/miniconda.html) or the (larger) [Anaconda](https://www.anaconda.com/download/) distribution. It is also recommended that you install [git](https://git-scm.com/downloads) so that you can clone this GitHub reposiotry to your computer. 
 
-## Installation
+Once conda and git are installed, the following commands will create a virtual Python environment named **pygeo** and install all the required packages:
 
 ```
 git clone https://github.com/giswqs/python-geospatial.git
@@ -29,6 +31,95 @@ Launch the interactive notebook tutorial with **mybinder.org** or **binder.pange
 [![Binder](https://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/giswqs/python-geospatial/master)
 [![Pangeo](http://binder.pangeo.io/badge.svg)](http://binder.pangeo.io/v2/gh/giswqs/python-geospatial/master)
 
+## Python Packages
+
+This list of Python packages is adapted from the Python list of [Awesome Geospatial](https://github.com/sacridini/Awesome-Geospatial#python). All the listed Python packages have been pre-installed in the binder environment.   
+
+### Geospatial Analysis
+* [whitebox](https://github.com/giswqs/whitebox) :zap: - A Python package for advanced geospatial data analysis based on [WhiteboxTools](https://github.com/jblindsay/whitebox-tools).
+* [lidar](https://github.com/giswqs/lidar) - lidar is a toolset for terrain and hydrological analysis using digital elevation models (DEMs).
+* [pygis](https://github.com/giswqs/pygis) - pygis is a collection of Python snippets for geospatial analysis.
+* [ArcGIS Python API](https://developers.arcgis.com/python/) - ArcGIS API for Python is a Python library for working with maps and geospatial data, powered by web GIS.
+* [dask-rasterio](https://github.com/dymaxionlabs/dask-rasterio) - Read and write rasters in parallel using Rasterio and Dask.
+* [earthengine-api](https://anaconda.org/conda-forge/earthengine-api) :zap: - The Earth Engine Python API allows developers to interact with Google Earth Engine.
+* [Fiona](http://toblerity.org/fiona/) :zap: - For making it easy to read/write geospatial data formats.
+* [GDAL](https://anaconda.org/conda-forge/gdal) - The Geospatial Data Abstraction Library for reading and writing raster and vector geospatial data formats. 
+* [geeup](https://github.com/samapriya/geeup) - Simple CLI for Earth Engine Uploads.
+* [geojson-area](https://github.com/scisco/area) - Calculate the area inside of any GeoJSON geometry. This is a port of Mapbox's geojson-area for Python.
+* [geojsonio](https://github.com/jwass/geojsonio.py) - Open GeoJSON data on geojson.io from Python. 
+* [GeoPandas](https://github.com/geopandas/geopandas) - Python tools for geographic data.
+* [GIPPY](https://github.com/gipit/gippy) - Geospatial Image Processing for Python.
+* [gpdvega](https://github.com/iliatimofeev/gpdvega) - gpdvega is a bridge between GeoPandas and Altair that allows to seamlessly chart geospatial data.
+* [mapboxgl-jupyter](https://github.com/mapbox/mapboxgl-jupyter) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook.
+* [networkx](http://networkx.github.io/) - To work with networks.
+* [OSMnet](https://github.com/UDST/osmnet) - Tools for the extraction of OpenStreetMap street network data.
+* [pandana](https://github.com/UDST/pandana) - Pandas Network Analysis - dataframes of network queries, quickly.
+* [Peartree](https://github.com/kuanb/peartree) - Peartree: A library for converting transit data into a directed graph for network analysis.
+* [pygdal](https://pypi.org/project/pygdal/) - Virtualenv and setuptools friendly version of standard GDAL python bindings.
+* [pymap3d](https://github.com/scivision/pymap3d) - Python 3D coordinate conversions for geospace ecef enu eci.
+* [Pyncf](https://github.com/karimbahgat/pyncf) - Pure Python NetCDF file reading and writing.
+* [PyProj](https://github.com/jswhit/pyproj) - For conversions between projections.
+* [PySAL](http://pysal.readthedocs.io/en/latest/) - For all your spatial econometrics needs.
+* [PyShp](https://code.google.com/archive/p/pyshp/) - For reading and writing shapefiles.
+* [rasterio](https://github.com/mapbox/rasterio) :zap: - rasterio employs GDAL under the hood for file I/O and raster formatting.
+* [rasterstats](https://github.com/perrygeo/python-rasterstats/) - Python module for summarizing geospatial raster datasets based on vector geometries.
+* [rio-cogeo](https://github.com/mapbox/rio-cogeo) - CloudOptimized GeoTIFF creation plugin for rasterio.   
+* [rio-color](https://github.com/mapbox/rio-color) - Color correction plugin for rasterio.
+* [rio-hist](https://github.com/mapbox/rio-hist) - Histogram matching plugin for rasterio.
+* [rio-tiler](https://github.com/mapbox/rio-tiler) - Get mercator tile from landsat, sentinel or other AWS hosted raster.
+* [Rtree](http://toblerity.org/rtree/) - For efficiently querying spatial data.
+* [sentinelhub](https://github.com/sentinel-hub/sentinelhub-py) - Download and process satellite imagery in Python scripts using Sentinel Hub services.
+* [sentinelsat](https://github.com/sentinelsat/sentinelsat) - Search and download Copernicus Sentinel satellite images.
+* [Shapely](https://pypi.python.org/pypi/Shapely) - Manipulation and analysis of geometric objects in the Cartesian plane.
+* [ts-raster](https://github.com/adbeda/ts-raster) - ts-raster is a python package for analyzing time-series characteristics from raster data. 
+* [urbansim](https://github.com/UDST/urbansim) - New version of UrbanSim, a platform for modeling metropolitan real estate markets.
+* [USGS API](https://github.com/kapadia/usgs) - USGS is a python module for interfacing with the US Geological Survey's API.
+* [Verde](https://github.com/fatiando/verde) - Verde is a Python library for processing spatial data and interpolating it on regular grids.
+* [xarray](http://xarray.pydata.org/en/stable/) - xarray is an open source project and Python package that aims to bring the labeled data power of pandas to the physical sciences.
+
+
+### Mapping/Plotting
+* [basemap](https://github.com/matplotlib/basemap) - Plot on map projections (with coastlines and political boundaries) using matplotlib.
+* [bokeh](https://github.com/bokeh/bokeh) - Interactive Web Plotting for Python.
+* [Cartopy](http://scitools.org.uk/cartopy/) - A library providing cartographic tools for python for plotting spatial data.
+* [Descartes](https://pypi.python.org/pypi/descartes) - Plot geometries in matplotlib.
+* [geoplot](https://github.com/ResidentMario/geoplot) - geoplot is a high-level Python geospatial plotting library.
+* [geopy](https://github.com/geopy/geopy) - geopy is a Python 2 and 3 client for several popular geocoding web services.
+* [folium](https://github.com/python-visualization/folium) - Python Data, Leaflet.js Maps.
+* [matplotlib](http://matplotlib.org/) - Python 2D plotting library.
+* [mplleaflet](https://github.com/jwass/mplleaflet) - mplleaflet converts a matplotlib plot into a webpage containing a pannable, zoomable Leaflet map.
+* [pyWPS](http://pywps.org/) - An implementation of the Web Processing Service standard from the Open Geospatial Consortium. 
+* [pyCSW](http://pycsw.org/) - Fully implements the OpenGIS Catalogue Service Implementation Specification.
+
+### Deep Learning
+* [label-maker](https://github.com/developmentseed/label-maker) - Data Preparation for Satellite Machine Learning.
+* [label-maker-binder](https://github.com/giswqs/label-maker-binder/pulse) - Using label-maker in an interactive notebook on the cloud.
+* [Keras](https://keras.io/) - Keras is a high-level neural networks API, written in Python and capable of running on top of TensorFlow, CNTK, or Theano.
+* [TensorFlow](https://www.tensorflow.org/) - TensorFlow is an open source software library for numerical computation using data flow graphs.
+
+
+### General Python
+
+* [dask](https://github.com/dask/dask) - Dask is a flexible parallel computing library for analytics. 
+* [imageio](https://imageio.github.io/) - imageio provides an easy interface to read and write a wide range of image data.
+* [Mahotas](https://github.com/luispedro/mahotas) - Mahotas is a library of fast computer vision algorithms (all implemented in C++ for speed) operating over numpy arrays.
+* [NumPy](http://www.numpy.org/) - NumPy is the fundamental package for scientific computing with Python.
+* [Pandas](http://pandas.pydata.org/) - Open source library providing high-performance, easy-to-use data structures and data analysis tools.
+* [scikit-image](http://scikit-image.org/) - Scikit-image is a collection of algorithms for image processing.
+* [scikit-learn](https://github.com/scikit-learn/scikit-learn) - scikit-learn is a Python module for machine learning built on top of SciPy.
+* [SciPy](https://github.com/scipy/scipy) - SciPy is open-source software for mathematics, science, and engineering.
+* [Statsmodels](http://statsmodels.sourceforge.net/) - Python module that allows users to explore data, estimate statistical models, and perform statistical tests.
+
+## Cloud Computing Platforms
+
+
+
+* [Google Earth Engine](https://earthengine.google.com/) :zap: - Planetary-scale geospatial analysis for everyone.
+* [Pangeo](http://pangeo.io/) - A community platform for Big Data geoscience.
+* [Geospatial Big Data Platform (GBDX)](https://platform.digitalglobe.com/gbdx/) - Cloud computing platform from Digital Globe.
+* [Radiant Earth](https://www.radiant.earth/) - Open-source cloud computing infrastructure for geospatial analysis. 
+* [Sentinel Playground](https://www.sentinel-hub.com/) - Cloud platform for analysis of Sentinel-2A and B and so on.
+* [Vane: Query Language](https://owm.io/vaneLanguage) - Creating Basemaps from different satellite images with online processing and computing, with global coverage.
 
 ## References
 
@@ -37,4 +128,8 @@ Launch the interactive notebook tutorial with **mybinder.org** or **binder.pange
 * [python-geospatial-ecosystem](https://github.com/loicdtx/python-geospatial-ecosystem)
 * [Automating-GIS-processes](https://github.com/Automating-GIS-processes/2018)
 * [Geo-Python](https://github.com/geo-python/2018)
-* [Essential geospatial Python libraries](https://medium.com/@chrieke/essential-geospatial-python-libraries-5d82fcc38731)
+* [scipy2018-geospatial-data](https://github.com/geopandas/scipy2018-geospatial-data)
+* [Geospatial_Data_with_Python](https://github.com/SocialDataSci/Geospatial_Data_with_Python)
+* [Essential geospatial Python libraries](https://medium.com/@chrieke/essential-geospatial-python-libraries-5d82fcc38731)
+* [Geo-spatial analysis with Python](https://medium.com/@lisa.mitford/geo-spatial-analysis-with-python-fdddd69eebea)
+* [From Analysis Ready Data to Analysis Engines and Everything in between](https://medium.com/@samapriyaroy/from-analysis-ready-data-to-analysis-engines-and-everything-in-between-676d98792d2e)

binder/environment.yml

@@ -14,31 +14,55 @@ dependencies:
   - scikit-learn
   - scipy
   - pip:
+    - area
     - bokeh
     - cython
+    - dask-rasterio
     - descartes
     - descartes
     - folium
+    - geeup
     - geojsonio
     - geopandas
+    - geoplot
+    - geopy
+    - gippy
+    - gpdvega
     - h5py
     - lidar
+    - mahotas
     - mapboxgl
+    - mplleaflet
     - oauth2client
     - pandana
+    - peartree
     - plotly
     - pygdal
     - pygis
+    - pymap3d
     - pyModis
     - pysal
+    - pycsw
+    - pywps
     - rasterio
     - rasterstats
     - requests
+    - rio-cogeo
+    - rio-color
+    - rio-hist
+    - rio-tiler
     - rtree
     - seaborn
     - sentinelhub
+    - sentinelsat
     - tifffile
+    - tsraster
+    - urbansim
+    - usgs
+    - verde
     - whitebox
     - xarray
     - tensorflow
-    - keras
+    - keras
+    - "git+https://github.com/karimbahgat/pyncf.git"
+    # - "git+https://github.com/matplotlib/basemap.git"