https://github.com/jackdbd/geoviews-geopython-2018
Material for my talk "Approaching geovisualization and remote sensing with GeoViews" @ GeoPython 2018.
https://github.com/jackdbd/geoviews-geopython-2018
bokeh geoviews geovisualization holoviews jupyter-notebook
Last synced: about 1 year ago
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Material for my talk "Approaching geovisualization and remote sensing with GeoViews" @ GeoPython 2018.
- Host: GitHub
- URL: https://github.com/jackdbd/geoviews-geopython-2018
- Owner: jackdbd
- Created: 2018-04-19T10:53:54.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2018-05-11T09:52:01.000Z (about 8 years ago)
- Last Synced: 2025-02-23T17:37:25.012Z (over 1 year ago)
- Topics: bokeh, geoviews, geovisualization, holoviews, jupyter-notebook
- Language: Jupyter Notebook
- Homepage:
- Size: 13.4 MB
- Stars: 15
- Watchers: 3
- Forks: 10
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# geoviews-geopython-2018
[](https://mybinder.org/v2/gh/jackdbd/geoviews-geopython-2018/master)
Material for my talk "Approaching geovisualization and remote sensing with GeoViews" @ [GeoPython 2018](http://2018.geopython.net/).
## Installation
The best way to install all the dependencies for this notebook is to create a conda environment. Either [Miniconda](https://conda.io/miniconda.html) or [Anaconda](https://repo.continuum.io/) are good.
You can use the `environment.yml` file included in this repository to create a conda environment identical to the one I used:
```shell
conda env create --file environment.yml
```
Otherwise you can create and activate a new conda environment with:
```shell
conda create --name geopython-2018 python=3.6 --yes
source activate geopython-2018
```
And install all the dependencies with:
```shell
# geoviews (it depends on holoviews)
conda install -c conda-forge -c ioam holoviews geoviews --yes
# Additional packages (for the examples in the notebook)
conda install xarray -y
conda install -c conda-forge iris -y
conda install -c conda-forge iris-sample-data
conda install -c conda-forge geopandas -y
```
You will also need to download the Bokeh sample data:
```
import bokeh.sampledata
bokeh.sampledata.download()
```
If you run into issues when importing `geopandas`, try manually downgrading `fiona`:
```
conda install -c conda forge fiona=1.7.10
```
## Data
In order to run the notebook you will also need some data files.
Here is where to find the data used in the notebook:
- Shapefiles of Basel districts @ https://wiki.openstreetmap.org/wiki/City_of_Basel_Suburb_Import (raw data, not the `.osm` file)
- Shapefiles of Basel parks and cafes @ https://extract.bbbike.org/
- netCDF file (Air quality) @ [NOAA](https://www.esrl.noaa.gov/psd/repository/entry/show?entryid=synth%3Ae570c8f9-ec09-4e89-93b4-babd5651e7a9%3AL25jZXAucmVhbmFseXNpcy5kZXJpdmVkL3N1cmZhY2UvYWlyLm1vbi5tZWFuLm5j)
- Shapefile of American Indian/Alaska Native Areas/Hawaiian Home Lands @ [United States Censun Bureau](https://www.census.gov/geo/maps-data/data/cbf/cbf_aiannh.html)
Create a `data` directory in the root of the repository and drop the files there.
## Generate the slides from the notebook
Open a terminal and type:
```
jupyter nbconvert Jupyter Notebook.ipynb --to slides --post serve
```
## Other
You could freeze your environment with:
```shell
conda env export > environment.yml
```
To remove this conda environment, run:
```shell
conda env remove -n geopython-2018
```