Closed giswqs closed 1 year ago
A simple Gradio web app for visualizing COG with leafmap
import gradio as gr
import leafmap.plotlymap as leafmap
def create_map(url):
m = leafmap.Map()
m.add_cog_layer(url)
return m
url = 'https://opendata.digitalglobe.com/events/california-fire-2020/pre-event/2018-02-16/pine-gulch-fire20/1030010076004E00.tif'
demo = gr.Interface(
fn=create_map,
inputs=gr.Text(value=url, label='Enter a COG URL'),
outputs=gr.Plot().style(),
)
demo.launch()
https://user-images.githubusercontent.com/5016453/218625821-a4ef18b1-3a47-476f-b95d-d566e2492044.mp4
An Earthquake heatmap example.
import gradio as gr
import leafmap.plotlymap as leafmap
def create_map(url, latitude, longitude, z):
m = leafmap.Map()
m.add_heatmap(url, latitude, longitude, z)
return m
url = 'https://raw.githubusercontent.com/plotly/datasets/master/earthquakes-23k.csv'
demo = gr.Interface(
fn=create_map,
inputs=[gr.Text(value=url, label='Enter a URL'),
gr.Text(value='Latitude', label='Latitude column'),
gr.Text(value='Longitude', label='Longitude column'),
gr.Text(value='Magnitude', label='Value column')],
outputs=gr.Plot().style(),
)
demo.launch()
https://user-images.githubusercontent.com/5016453/218628803-5c87568c-6425-4fd3-83cb-47baa761bc22.mp4
A split control example.
https://user-images.githubusercontent.com/5016453/218933780-da47f80a-52dc-49e4-9305-bdd71ddd4d5e.mp4
import gradio as gr
def test(x):
x = """
<!DOCTYPE html>
<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8" />
<script>
L_NO_TOUCH = false;
L_DISABLE_3D = false;
</script>
<style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
<style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
<script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
<script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
<script src="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/js/bootstrap.min.js"></script>
<script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap-theme.min.css"/>
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css"/>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>
<meta name="viewport" content="width=device-width,
initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
<style>
#map_ab9fed1eb8a2169ece7fc97e9b1352b9 {
position: relative;
width: 100.0%;
height: 100.0%;
left: 0.0%;
top: 0.0%;
}
</style>
<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.fullscreen/1.4.2/Control.FullScreen.min.css"/>
<script src="https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.js"></script>
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/leaflet.draw/1.0.2/leaflet.draw.css"/>
<script src="https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.js"></script>
<link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/ljagis/leaflet-measure@2.1.7/dist/leaflet-measure.min.css"/>
<script src="https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.js"></script>
<link rel="stylesheet" href="https://unpkg.com/leaflet-control-geocoder/dist/Control.Geocoder.css"/>
<script src="https://cdn.jsdelivr.net/gh/digidem/leaflet-side-by-side@gh-pages/leaflet-side-by-side.min.js"></script>
</head>
<body>
<div class="folium-map" id="map_ab9fed1eb8a2169ece7fc97e9b1352b9" ></div>
</body>
<script>
var map_ab9fed1eb8a2169ece7fc97e9b1352b9 = L.map(
"map_ab9fed1eb8a2169ece7fc97e9b1352b9",
{
center: [20.0, 0.0],
crs: L.CRS.EPSG3857,
zoom: 2,
zoomControl: true,
preferCanvas: false,
drawExport: false,
layersControl: true,
}
);
L.control.scale().addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
var tile_layer_5b5a43882783f7eae3e0b9e6af3f0150 = L.tileLayer(
"https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
// {"attribution": "Data by \u0026copy; \u003ca href=\"http://openstreetmap.org\"\u003eOpenStreetMap\u003c/a\u003e, under \u003ca href=\"http://www.openstreetmap.org/copyright\"\u003eODbL\u003c/a\u003e.", "detectRetina": false, "maxNativeZoom": 24, "maxZoom": 24, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
L.control.fullscreen(
{"forceSeparateButton": false, "position": "topleft", "title": "Full Screen", "titleCancel": "Exit Full Screen"}
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
var options = {
position: "topleft",
draw: {},
edit: {},/* */
}
// FeatureGroup is to store editable layers.
var drawnItems = new L.featureGroup().addTo(
map_ab9fed1eb8a2169ece7fc97e9b1352b9
);
options.edit.featureGroup = drawnItems;
var draw_control_256b8df540bca4a2ca2fd2ed1a14d56f = new L.Control.Draw(
options
).addTo( map_ab9fed1eb8a2169ece7fc97e9b1352b9 );
var measure_control_49ef44a4c2e5f53af86ee2298aa90f58 = new L.Control.Measure(
{"position": "bottomleft", "primaryAreaUnit": "sqmeters", "primaryLengthUnit": "meters", "secondaryAreaUnit": "acres", "secondaryLengthUnit": "miles"});
map_ab9fed1eb8a2169ece7fc97e9b1352b9.addControl(measure_control_49ef44a4c2e5f53af86ee2298aa90f58);
map_ab9fed1eb8a2169ece7fc97e9b1352b9.fitBounds(
[[20, 0], [20, 0]],
{"maxZoom": 2}
);
var tile_layer_9afa18cd9734a50057cdb08748177929 = L.tileLayer(
"https://mt1.google.com/vt/lyrs=p\u0026x={x}\u0026y={y}\u0026z={z}",
{"attribution": "Google", "detectRetina": false, "maxNativeZoom": 22, "maxZoom": 22, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
var tile_layer_5235882ec753b573e80e207ed21d712a = L.tileLayer(
"https://a.tile.opentopomap.org/{z}/{x}/{y}.png",
{"attribution": "Map data: (C) OpenStreetMap contributors, SRTM | Map style: (C) OpenTopoMap (CC-BY-SA)", "detectRetina": false, "maxNativeZoom": 17, "maxZoom": 17, "minZoom": 0, "noWrap": false, "opacity": 1, "subdomains": "abc", "tms": false}
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
var side_by_side_layers_3661f6115c93abc79c48e752e144bcf7 = L.control.sideBySide(
tile_layer_9afa18cd9734a50057cdb08748177929, tile_layer_5235882ec753b573e80e207ed21d712a
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
var layer_control_20e4a56c9953f31d1b97bd2d7d9457d6 = {
base_layers : {
"openstreetmap" : tile_layer_5b5a43882783f7eae3e0b9e6af3f0150,
},
overlays : {
"Google Terrain" : tile_layer_9afa18cd9734a50057cdb08748177929,
"OpenTopoMap" : tile_layer_5235882ec753b573e80e207ed21d712a,
},
};
L.control.layers(
layer_control_20e4a56c9953f31d1b97bd2d7d9457d6.base_layers,
layer_control_20e4a56c9953f31d1b97bd2d7d9457d6.overlays,
{"autoZIndex": true, "collapsed": true, "position": "topright"}
).addTo(map_ab9fed1eb8a2169ece7fc97e9b1352b9);
</script>
</html>
"""
return f"""<iframe style="width: 100%; height: 480px" name="result" allow="midi; geolocation; microphone; camera;
display-capture; encrypted-media;" sandbox="allow-modals allow-forms
allow-scripts allow-same-origin allow-popups
allow-top-navigation-by-user-activation allow-downloads" allowfullscreen=""
allowpaymentrequest="" frameborder="0" srcdoc='{x}'></iframe>"""
gr.Interface(test, "text", "html").launch(debug=True)
Gradio is a Python package for building interactive web apps to demo machine learning models. It supports bokeh and plotly. It would be great to add leafmap support for this.
https://gradio.app/plot-component-for-maps/