kopia lustrzana https://github.com/anitagraser/ogd-at-lab
142 wiersze
3.5 KiB
Plaintext
142 wiersze
3.5 KiB
Plaintext
{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"# Accessing Geodata from Data.wien.gv.at Services\n",
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"\n",
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"[](https://mybinder.org/v2/gh/anitagraser/ogd-at-lab/main?urlpath=lab/tree/notebooks/wien-ogd.ipynb)\n",
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"\n",
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"<a href=\"https://www.data.gv.at/auftritte/?organisation=stadt-wien\"><img align=\"right\" src=\"./img/stadt-wien.png\"></a>\n",
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"\n",
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"This notebook demonstrates the use of vector data provided via WFS. For instructions on using WMS, see the [webmapping notebook](webmapping.ipynb).\n",
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"\n",
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"For more information on open government data in Vienna visit [digitales.wien.gv.at](https://digitales.wien.gv.at/site/open-data/)\n",
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"\n",
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"For a full list of available datasets go to [data.gv.at](https://www.data.gv.at/auftritte/?organisation=stadt-wien&searchterm=&formatFilter%5B%5D=WFS)\n",
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"\n",
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"\n"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import hvplot.pandas\n",
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"from utils.dataaccess import get_gdf_from_wfs\n",
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"from utils.plotting import hvplot_with_buffer\n",
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"from holoviews import opts\n",
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"\n",
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"opts.defaults(opts.Overlay(active_tools=['wheel_zoom'], frame_width=500, frame_height=400))\n"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"For example, transport bicycle sharing stations:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gdf = get_gdf_from_wfs('RADGRAETZELOGD')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gdf.hvplot(geo=True, tiles='OSM', hover_cols='all')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"300 meters is often cited as the maximum walking distance to a bicycle sharing station."
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"hvplot_with_buffer(gdf, 300)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"gdf2 = get_gdf_from_wfs('ELADESTELLEOGD')"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"By comparision, the network of EV charging stations is much more comprehensive:"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"hvplot_with_buffer(gdf, 100, title='Bike Sharing Stations') + hvplot_with_buffer(gdf2, 100, title='EV Charging Stations')"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"election_districts = get_gdf_from_wfs('WAHLSPRGR2020OGD')\n",
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"election_districts.hvplot(geo=True, tiles='OSM', alpha=0.5)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"display_name": "Python 3 (ipykernel)",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.7.15"
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